Selected alcohols and hydrocarbons.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 179 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 252 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
\n'}],latestNews:[{slug:"intechopen-authors-included-in-the-highly-cited-researchers-list-for-2020-20210121",title:"IntechOpen Authors Included in the Highly Cited Researchers List for 2020"},{slug:"intechopen-maintains-position-as-the-world-s-largest-oa-book-publisher-20201218",title:"IntechOpen Maintains Position as the World’s Largest OA Book Publisher"},{slug:"all-intechopen-books-available-on-perlego-20201215",title:"All IntechOpen Books Available on Perlego"},{slug:"oiv-awards-recognizes-intechopen-s-editors-20201127",title:"OIV Awards Recognizes IntechOpen's Editors"},{slug:"intechopen-joins-crossref-s-initiative-for-open-abstracts-i4oa-to-boost-the-discovery-of-research-20201005",title:"IntechOpen joins Crossref's Initiative for Open Abstracts (I4OA) to Boost the Discovery of Research"},{slug:"intechopen-hits-milestone-5-000-open-access-books-published-20200908",title:"IntechOpen hits milestone: 5,000 Open Access books published!"},{slug:"intechopen-books-hosted-on-the-mathworks-book-program-20200819",title:"IntechOpen Books Hosted on the MathWorks Book Program"},{slug:"intechopen-s-chapter-awarded-the-guenther-von-pannewitz-preis-2020-20200715",title:"IntechOpen's Chapter Awarded the Günther-von-Pannewitz-Preis 2020"}]},book:{item:{type:"book",id:"285",leadTitle:null,fullTitle:"HIV-Host Interactions",title:"HIV-Host Interactions",subtitle:null,reviewType:"peer-reviewed",abstract:"HIV remains the major global health threat, and neither vaccine nor cure is available. Increasing our knowledge on HIV infection will help overcome the challenge of HIV/AIDS. This book covers several aspects of HIV-host interactions in vitro and in vivo. The first section covers the interaction between cellular components and HIV proteins, Integrase, Tat, and Nef. It also discusses the clinical relevance of HIV superinfection. The next two chapters focus on the role of innate immunity including dendritic cells and defensins in HIV infection followed by the section on the impact of host factors on HIV pathogenesis. The section of co-infection includes the impact of Human herpesvirus 6 and Trichomonas vaginalis on HIV infection. The final section focuses on generation of HIV molecular clones that can be used in macaques and the potential use of cotton rats for HIV studies.",isbn:null,printIsbn:"978-953-307-442-9",pdfIsbn:"978-953-51-6542-2",doi:"10.5772/808",price:139,priceEur:155,priceUsd:179,slug:"hiv-host-interactions",numberOfPages:378,isOpenForSubmission:!1,isInWos:1,hash:"866f644bfdb6124645182ecd5188c6c7",bookSignature:"Theresa L. 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Steitz and Xin-Yuan Fu at Yale University and with John P. Moore at Aaron Diamond AIDS Research Center, The Rockefeller University. She worked as a scientist at Osel, Inc before joining Mount Sinai School of Medicine as Assistant Professor in 2002. She joined Public Health Research Institute, University of Medicine & Dentistry of New Jersey - New Jersey Medical School in 2010 as Principal Investigator. 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They contribute to diminish the greenhouse gas emissions due to its neutral carbon dioxide balance. Moreover, some oxygenated compounds are used as biofuel additives as they lead to a reduction in pollutant emissions and to an increase in the energy efficiency of vehicle engines [1, 2].
\nSome alcohols and ethers, as oxygenated compounds additives, are added to present gasoline with the aim of reducing the emission of gases that produce environmental impact. The advantages of these oxygenates can be classified into several categories. First, they can be obtained from renewable, agricultural and raw materials, reducing the dependence of fossil sources [3]. Second, they enhance the octane number, boosting the anti-knock effect in gasoline. Then, the compression ratio of the engines can be increased without risk of knocking, leading to higher delivery of power. From the combustion point of view, the production of carbon monoxide and volatile hydrocarbons from the combustion of alcohols is less than the one of gasoline. Amongst the thermodynamic properties, the heat of vaporization of alcohols is high and leads to a reduction in the peak temperature of combustion, which means lower emissions of nitrogen oxides.
\nAlternative and renewable energy technologies are being sought to reduce pollutant emissions and increase the efficiency of energy use. Propanol and butanol have been proposed as an alternative to conventional gasoline and diesel fuels [4, 5]. They are higher member of the series of alcohols with each molecule containing three or four carbon atoms rather than two as in ethanol. The EN standards of the European Union (EU) and the World-Wide Fuel Charter (WWFC) for gasoline include, for example, 2-propanol, 2-methyl-2 propanol (also known as tert-butyl alcohol, TBA), and 2-methyl-1 propanol [6, 7] as gasoline components.
\nThe traditional production and consumption of bioethanol have found an alternative with the second-generation biofuels, such as biobutanol. For example, 85% ethanol, E85, needs some modification of the internal combustion engines specifications, unlike butanols, which can work directly in present engines. The energy content per volume unit of butanol is similar to the one of gasoline, and higher than the same for ethanol. Concerning the contribution to the anti-knocking effect, butanol behaves almost the same as other alcohols like methanol or ethanol. And in the presence of water, the mixture butanol/gasoline shows lesser tendency to separation of phases than the mixture ethanol/gasoline. Then, all the facilities for transport, storage and distribution of fuels can be used without modification. Butanol, which can be synthesized chemically or biologically, is an alternative transportation fuel since it has properties that would allow its use in existing engines with minor hardware modifications [5]. For practical purposes, ASTM D7862 [8] gives specifications for blends of butanol with gasoline at 1–12.5% in volume for automotive spark ignition engines. Three butanol isomers are covered by the specification, 1-butanol, 2-butanol, and 2-methyl-1-propanol, while specifically excludes 2-methyl-2-propanol (TBA).
\nBesides its use as fuel component, its industrial uses covers a broad range of applications as solvent or as reactive for the production of other chemicals. Applications, chemicals and products that use butanol include solvents, plasticizers, coatings, chemical intermediate or raw material, textiles, cleaners, cosmetics, drugs and antibiotics, hormones, and vitamins.
\nSince the 1950s, most butanol is obtained from fossil sources [6]. 1-butanol and/or 2-butanol could be obtained from reduction of butyraldehyde with hydrogen, which is previously obtained by hydroformulation reaction of propene (propyelene). Meanwhile, propylene oxide production leads to isobutene, from which TBA could be derived. Butanol from biomass is called biobutanol [9], and it can be used in unmodified gasoline engines. Biobutanol can be produced by fermentation of biomass by the ABE process [9, 10]. The process uses the bacterium Clostridium acetobutylicum, the bacterium for the production of acetone from starch. The butanol was a by-product of this fermentation. Other by-products as acetic, lactic and propionic acids, isopropanol and ethanol, as well as a certain amount of H2, are generated by the process. Ralstonia eutropha can also be used to produce biobutanol, by means of an electro-bioreactor and the input of carbon dioxide and electricity.
\nAccording to DuPont [11], existing bioethanol plants can be converted to biobutanol production with low economic cost. The main modification could affect to the fermentation process, with minor changes in distillation, as both alcohols use the same stocks: food energy crops (sugar beets, sugar cane, corn grain, wheat, etc.), non-food energy crops (switchgrass, cellulose, etc.) and agricultural by-products (straw, corn stalks, etc.).
\nBiopropanol is a rarely discussed biofuel. Tough propanol is included as regular component of gasolines [6], its frequent use as chemical solvent makes it rare to consider it as a fuel. Biopropanol could be produced from microbial fermentation of biomass (cellulose), but the process is extremely inefficient [12]. The issues with microbial production of biopropanol are analogous to the issues with microbial production of biobutanol, so if biobutanol becomes a more practical biofuel to produce, then biopropanol will also become more feasible.
\nThis paper concerns thermodynamic properties of 1-propanol, 2-propanol, 1-butanol, 2-butanol and TBA. Accurate experimental data on thermodynamic properties should be available to check and develop predictive empirical equations, models and simulation programs. Industrial processes as storage, transport, separation and mixing processes also need reliable data for its design. As a result, the experimental literature reviews on properties of pure compounds and its mixtures with characteristic hydrocarbons can provide valuable information about the fluid behaviour under various temperature and pressure conditions.
\nThe paper presents the literature review of available data on thermodynamic properties (density, vapour-liquid equilibrium, specific heat,) of the mixtures of 1-propanol, 1-butanol, TBA and its mixtures with hydrocarbons representatives of gasoline. Density has to do with the volumetric behaviour of the mixtures under pressure and temperature conditions and is the primary data to check equations of state. The vapour-liquid equilibria, which allows the calculation of the Gibbs function, deal with the equilibrium between the liquid and vapour phase under fixed pressure and temperature conditions. And the heat capacity gives information related to the sensible energy storage of the liquids. The review includes only the interval of temperature and pressure of every property reported. The wider is the range of pressure and temperature of the measured properties, so it would be the reliability of the applications of predictive and equations and models. Discussion of further data (uncertainties, experimental apparatus, etc.) would require more space than available. Interested readers should access the literature references to check these issues.
\nThermodynamic properties of liquid propanol and butanol and its liquid mixtures with some hydrocarbon have been obtained from the literature search using online library databases (Web of Science©, Scopus©, NIST© Standard Reference Database) and high impact electronic journals.
\nSpecial attention is given to alcohol + hydrocarbon mixtures. As stated, 1-propanol, 1-butanol and TBA have been selected as alcohols. As representative of hydrocarbons, n-heptane, 2,2,4 trimethylpentane (iso-octane), cyclohexane, methyl-cyclohexane, benzene, toluene and 1-hexene have been chosen. They represent linear, branched and cyclic alkanes, aromatics, as well as olefins, which are regular components of gasoline. Table 1 presents the list of selected compounds.
\nCompound | \nCAS number | \nChemical formula | \n
---|---|---|
Alcohols | \n\n | |
1-Propanol | \n71-23-8 | \nC3H8O | \n
1-Butanol | \n71-36-3 | \nC4H10O | \n
Tert-butyl alcohol (TBA) | \n75-65-0 | \nC4H10O | \n
Hydrocarbons | \n\n | |
Heptane | \n142-82-5 | \nC7H16 | \n
2,2,4 trimethylpentane (TMP) | \n540-84-1 | \nC8H18 | \n
Cyclohexane | \n110-82-7 | \nC6H12 | \n
Methyl cyclohexane | \n108-87-2 | \nC7H14 | \n
Benzene | \n71-43-2 | \nC6H6 | \n
Toluene | \n108-88-3 | \nC7H8 | \n
1-Hexene | \n592-41-6 | \nC6H12 | \n
Selected alcohols and hydrocarbons.
Concerning properties, there is a huge amount of available thermodynamic data for pure compounds. With respect to the mixtures, density data are shown in Table 2 for binary mixtures alcohol (1) + hydrocarbon (2). Tables 3 and 4 present the vapour-liquid equilibria selected for mixtures alcohol (1) + hydrocarbon (2) and alcohol (1) + hydrocarbon (2) + hydrocarbon (3). Finally, heat capacity data for binary mixtures alcohol (1) + hydrocarbon (2) are provided in Table 5.
\nSubstance 1 | \nSubstance 2 | \nReferences | \nYear | \nTmin/K | \nTmax/K | \nPmin/kPa | \nPmax/kPa | \n
---|---|---|---|---|---|---|---|
1-Propanol | \nHeptane | \n[13] | \n1967 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[14] | \n1967 | \n348.15 | \n348.15 | \n101 | \n101 | \n
\n | Heptane | \n[15] | \n1977 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[16] | \n1982 | \n423.11 | \n523.11 | \n422 | \n5495 | \n
\n | Heptane | \n[17] | \n1983 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[18] | \n1993 | \n313.15 | \n313.15 | \n101 | \n101 | \n
\n | Heptane | \n[19] | \n1994 | \n278.15 | \n308.15 | \n101 | \n101 | \n
\n | Heptane | \n[20] | \n1995 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[21] | \n1996 | \n298.15 | \n308.15 | \n101 | \n101 | \n
\n | Heptane | \n[22] | \n1997 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[23] | \n1998 | \n278.15 | \n308.15 | \n101 | \n101 | \n
\n | Heptane | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Heptane | \n[25] | \n2004 | \n293.15 | \n318.21 | \n101 | \n101 | \n
\n | Heptane | \n[26] | \n2005 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[27] | \n2005 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[28] | \n1981 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[29] | \n2007 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[30] | \n2007 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[31] | \n2012 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[32] | \n2015 | \n298.15 | \n323.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[33] | \n1979 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[34] | \n1980 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[35] | \n1991 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[36] | \n1996 | \n298.15 | \n308.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[37] | \n1997 | \n298.15 | \n303.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[38] | \n1998 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[39] | \n2004 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[26] | \n2005 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[40] | \n2007 | \n293.15 | \n303.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[41] | \n2008 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[42] | \n2016 | \n303.15 | \n313.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[43] | \n1977 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[44] | \n1996 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[45] | \n2006 | \n298.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[46] | \n1969 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[33] | \n1979 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[34] | \n1980 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[47] | \n1993 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[58] | \n1994 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[59] | \n2001 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Benzene | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[39] | \n2004 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[50] | \n2007 | \n288.15 | \n313.15 | \n101 | \n101 | \n
\n | Benzene | \n[51] | \n2008 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[52] | \n2009 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[53] | \n2015 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Toluene | \n[54] | \n1980 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[47] | \n1993 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Toluene | \n[48] | \n1994 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[55] | \n2000 | \n303.15 | \n313.15 | \n101 | \n101 | \n
\n | Toluene | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Toluene | \n[56] | \n2005 | \n303.15 | \n333.15 | \n100 | \n30000 | \n
\n | Toluene | \n[57] | \n2006 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[58] | \n2006 | \n303.15 | \n333.15 | \n101 | \n101 | \n
\n | Toluene | \n[59] | \n2008 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[53] | \n2015 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | 1-Hexene | \n[60] | \n1993 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 1-Hexene | \n[61] | \n2010 | \n298.15 | \n298.15 | \n101 | \n101 | \n
1-Butanol | \nn-Heptane | \n[15] | \n1977 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[62] | \n1979 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[17] | \n1983 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[63] | \n1984 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[64] | \n1994 | \n313.15 | \n313.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[21] | \n1996 | \n298.15 | \n308.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[65] | \n1997 | \n293.15 | \n293.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[66] | \n1997 | \n288.15 | \n298.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[67] | \n2003 | \n316.85 | \n458.15 | \n4930 | \n4930 | \n
\n | n-Heptane | \n[26] | \n2005 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[68] | \n2006 | \n288.15 | \n308.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[69] | \n2009 | \n288.15 | \n308.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[65] | \n1997 | \n293.15 | \n293.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[66] | \n1997 | \n288.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[31] | \n2012 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[70] | \n2013 | \n298.15 | \n328.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[33] | \n1979 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[34] | \n1980 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[71] | \n1983 | \n298.15 | \n318.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[72] | \n1995 | \n293.15 | \n313.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[38] | \n1998 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[73] | \n2001 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[74] | \n2005 | \n298.15 | \n313.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[40] | \n2007 | \n293.15 | \n303.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[75] | \n2010 | \n293.15 | \n293.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[76] | \n2014 | \n293.15 | \n333.15 | \n100 | \n100000 | \n
\n | Cyclohexane | \n[42] | \n2016 | \n303.15 | \n313.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[43] | \n1977 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[77] | \n1989 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[78] | \n2004 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[45] | \n2006 | \n298.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[46] | \n1969 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[33] | \n1979 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[34] | \n1980 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[79] | \n1993 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[80] | \n1994 | \n298.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[81] | \n1996 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[49] | \n2001 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Benzene | \n[21] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[82] | \n2004 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Benzene | \n[83] | \n2008 | \n288.15 | \n313.15 | \n101 | \n101 | \n
\n | Toluene | \n[84] | \n1940 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[54] | \n1980 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[81] | \n1996 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Toluene | \n[55] | \n2000 | \n303.15 | \n313.15 | \n101 | \n101 | \n
\n | Toluene | \n[24] | \n2003 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Toluene | \n[70] | \n2013 | \n298.15 | \n328.15 | \n101 | \n101 | \n
\n | Toluene | \n[85] | \n2015 | \n298.15 | \n328.15 | \n101 | \n101 | \n
\n | 1-Hexene | \n[86] | \n2013 | \n273.15 | \n333.15 | \n101 | \n101 | \n
TBA | \nn-Heptane | \n[62] | \n1979 | \n299.15 | \n299.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[64] | \n1994 | \n313.15 | \n313.15 | \n101 | \n101 | \n
\n | n-Heptane | \n[87] | \n2011 | \n303.15 | \n323.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[88] | \n1999 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[89] | \n2001 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 trimethylpentane | \n[90] | \n2005 | \n298.15 | \n318.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[71] | \n1983 | \n298.15 | \n318.15 | \n101 | \n101 | \n
\n | Cyclohexane | \n[72] | \n1995 | \n293.15 | \n313.15 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[88] | \n1999 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[79] | \n1993 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Benzene | \n[91] | \n1995 | \n313.15 | \n313.15 | \n101 | \n101 | \n
\n | Benzene | \n[81] | \n1996 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Benzene | \n[82] | \n2004 | \n303.15 | \n303.15 | \n101 | \n101 | \n
\n | Toluene | \n[81] | \n1996 | \n308.15 | \n308.15 | \n101 | \n101 | \n
\n | Toluene | \n[88] | \n1999 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Toluene | \n[55] | \n2000 | \n303.15 | \n313.15 | \n101 | \n101 | \n
Reported density (g⋅cm−3) for binary mixtures alcohol (1) + hydrocarbon (2).
Substance 1 | \nSubstance 2 | \nReferences | \nYear | \nTmin/K | \nTmax/K | \nPmin/kPa | \nPmax/kPa | \n
---|---|---|---|---|---|---|---|
1-propanol | \nHeptane | \n[92] | \n1966 | \n357.72 | \n371.52 | \n101.32 | \n101.32 | \n
\n | Heptane | \n[14] | \n1967 | \n347.97 | \n347.97 | \n39.72 | \n73.63 | \n
\n | Heptane | \n[13] | \n1967 | \n303.13 | \n333.12 | \n3.92 | \n39.81 | \n
\n | Heptane | \n[93] | \n1980 | \n278.16 | \n303.14 | \n1.67 | \n10.17 | \n
\n | Heptane | \n[16] | \n1982 | \n423.15 | \n573.15 | \n200 | \n5066 | \n
\n | Heptane | \n[94] | \n1991 | \n313.15 | \n313.15 | \n10.95 | \n16.52 | \n
\n | Heptane | \n[95] | \n1992 | \n313.15 | \n313.15 | \n9.638 | \n16.428 | \n
\n | Heptane | \n[96] | \n1993 | \n303.15 | \n303.15 | \n5.42 | \n10.24 | \n
\n | Heptane | \n[97] | \n1995 | \n379.38 | \n475.45 | \n204.5 | \n1032.8 | \n
\n | Heptane | \n[98] | \n1995 | \n316.78 | \n357.58 | \n19.60 | \n101.33 | \n
\n | Heptane | \n[99] | \n2000 | \n298.15 | \n298.15 | \n– | \n– | \n
\n | Heptane | \n[100] | \n2004 | \n303.15 | \n343.15 | \n– | \n– | \n
\n | 2,2,4, trimethylpentane | \n[28] | \n1981 | \n328.36 | \n348.50 | \n15.98 | \n72.75 | \n
\n | 2,2,4, trimethylpentane | \n[101] | \n1994 | \n357.88 | \n365.46 | \n101.3 | \n101.3 | \n
\n | 2,2,4, trimethylpentane | \n[102] | \n1994 | \n343.15 | \n343.15 | \n42.04 | \n60.07 | \n
\n | 2,2,4, trimethylpentane | \n[29] | \n2007 | \n303.15 | \n303.15 | \n4.88 | \n10.45 | \n
\n | 2,2,4, trimethylpentane | \n[103] | \n2011 | \n318.15 | \n318.15 | \n9.00 | \n21.13 | \n
\n | Cyclohexane | \n[104] | \n1977 | \n298.15 | \n298.15 | \n2.79 | \n14.29 | \n
\n | Cyclohexane | \n[105] | \n1986 | \n347.66 | \n369.17 | \n101.33 | \n101.33 | \n
\n | Cyclohexane | \n[98] | \n1995 | \n347.58 | \n347.58 | \n101.33 | \n101.33 | \n
\n | Cyclohexane | \n[106] | \n1996 | \n298.15 | \n308.15 | \n2.63 | \n22.1 | \n
\n | Cyclohexane | \n[107] | \n1997 | \n323.15 | \n333.15 | \n27.92 | \n61.17 | \n
\n | Cyclohexane | \n[99] | \n2000 | \n313.15 | \n343.15 | \n– | \n– | \n
\n | Cyclohexane | \n[108] | \n2000 | \n298.15 | \n298.15 | \n101.32 | \n101.32 | \n
\n | Methylcyclohexane | \n[109] | \n1969 | \n360.13 | \n366.83 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[110] | \n1989 | \n332.98 | \n332.98 | \n29.12 | \n38.60 | \n
\n | Methylcyclohexane | \n[111] | \n1997 | \n358.75 | \n373.60 | \n101.3 | \n101.3 | \n
\n | Benzene | \n[112] | \n1947 | \n298.94 | \n363.52 | \n13.33 | \n99.99 | \n
\n | Benzene | \n[113] | \n1963 | \n349.12 | \n365.92 | \n101 | \n101 | \n
\n | Benzene | \n[114] | \n1964 | \n493.16 | \n558.18 | \n2419.4 | \n4904.2 | \n
\n | Benzene | \n[104] | \n1977 | \n298.15 | \n298.15 | \n2.79 | \n13.04 | \n
\n | Benzene | \n[105] | \n1986 | \n350.03 | \n361.85 | \n101.33 | \n101.33 | \n
\n | Benzene | \n[115] | \n1987 | \n313.15 | \n313.15 | \n7.01 | \n25.98 | \n
\n | Benzene | \n[107] | \n1997 | \n323.15 | \n333.15 | \n22.02 | \n56.70 | \n
\n | Benzene | \n[116] | \n2001 | \n313.15 | \n313.15 | \n7.047 | \n26.069 | \n
\n | Benzene | \n[117] | \n2006 | \n313.15 | \n313.15 | \n7.00 | \n25.91 | \n
\n | Benzene | \n[52] | \n2008 | \n323.15 | \n323.15 | \n17.98 | \n39.89 | \n
\n | Benzene | \n[51] | \n2008 | \n329.45 | \n368.35 | \n50 | \n94 | \n
\n | Toluene | \n[115] | \n1987 | \n313.15 | \n313.15 | \n7.01 | \n11.35 | \n
\n | Toluene | \n[118] | \n1996 | \n298.15 | \n298.15 | \n2.63 | \n5.39 | \n
\n | Toluene | \n[119] | \n2003 | \n293.15 | \n370.15 | \n– | \n– | \n
\n | Toluene | \n[59] | \n2008 | \n333.15 | \n333.15 | \n20.27 | \n27.41 | \n
\n | Toluene | \n[120] | \n2009 | \n323.15 | \n323.15 | \n13.42 | \n17.85 | \n
1-butanol | \nHeptane | \n[121] | \n1966 | \n361.92 | \n376.92 | \n91.2 | \n91.2 | \n
\n | Heptane | \n[122] | \n1967 | \n387.93 | \n434.34 | \n192.65 | \n496.63 | \n
\n | Heptane | \n[63] | \n1984 | \n333.15 | \n363.15 | \n8.01 | \n89.49 | \n
\n | Heptane | \n[123] | \n1990 | \n353.15 | \n373.15 | \n101.32 | \n101.32 | \n
\n | Heptane | \n[124] | \n1994 | \n313.15 | \n313.15 | \n4.39 | \n13.22 | \n
\n | Heptane | \n[98] | \n1995 | \n312.34 | \n357.58 | \n12.93 | \n74.47 | \n
\n | Heptane | \n[125] | \n1996 | \n328.45 | \n366.55 | \n25.63 | \n101.38 | \n
\n | Heptane | \n[126] | \n1997 | \n303.15 | \n303.15 | \n1.35 | \n8.26 | \n
\n | Heptane | \n[99] | \n2000 | \n298.15 | \n298.15 | \n– | \n– | \n
\n | Heptane | \n[127] | \n2001 | \n365.05 | \n389.05 | \n95 | \n95 | \n
\n | Heptane | \n[100] | \n2004 | \n303.15 | \n343.15 | \n– | \n– | \n
\n | Heptane | \n[138] | \n2010 | \n349.00 | \n387.75 | \n53.3 | \n91.3 | \n
\n | Heptane | \n[129] | \n2012 | \n313.15 | \n313.15 | \n2.51 | \n13.22 | \n
\n | 2,2,4-trimethylpentane | \n[130] | \n2006 | \n308.15 | \n318.15 | \n2 | \n17 | \n
\n | 2,2,4-trimethylpentane | \n[103] | \n2011 | \n318.15 | \n318.15 | \n7.2 | \n16.4 | \n
\n | 2,2,4-trimethylpentane | \n[129] | \n2012 | \n313.15 | \n313.15 | \n2.55 | \n13.71 | \n
\n | 2,2,4-trimethylpentane | \n[131] | \n2013 | \n313.15 | \n313.15 | \n11.55 | \n13.50 | \n
\n | Cyclohexane | \n[132] | \n1968 | \n353.15 | \n383.12 | \n21.23 | \n229.21 | \n
\n | Cyclohexane | \n[133] | \n1982 | \n293.15 | \n293.15 | \n– | \n– | \n
\n | Cyclohexane | \n[71] | \n1983 | \n318.15 | \n318.15 | \n3.41 | \n30.59 | \n
\n | Cyclohexane | \n[134] | \n1990 | \n312.8 | \n389.9 | \n– | \n– | \n
\n | Cyclohexane | \n[98] | \n1995 | \n352.7 | \n352.7 | \n101.33 | \n101.33 | \n
\n | Cyclohexane | \n[108] | \n2000 | \n298.15 | \n298.15 | \n101.32 | \n101.32 | \n
\n | Cyclohexane | \n[99] | \n2000 | \n313.15 | \n343.15 | \n– | \n– | \n
\n | Cyclohexane | \n[135] | \n2001 | \n350.95 | \n389.05 | \n95 | \n95 | \n
\n | Cyclohexane | \n[136] | \n2002 | \n325.6 | \n386.12 | \n40.0 | \n101.3 | \n
\n | Cyclohexane | \n[129] | \n2012 | \n313.15 | \n313.15 | \n2.51 | \n24.83 | \n
\n | Methylcyclohexane | \n[109] | \n1969 | \n369.75 | \n385.65 | \n101 | \n101 | \n
\n | Methylcyclohexane | \n[110] | \n1989 | \n332.98 | \n332.98 | \n11.07 | \n29.77 | \n
\n | Methylcyclohexane | \n[111] | \n1997 | \n368.45 | \n390.50 | \n101.3 | \n101.3 | \n
\n | Benzene | \n[137] | \n1939 | \n298.15 | \n298.15 | \n0.85 | \n12.59 | \n
\n | Benzene | \n[128] | \n1963 | \n353.21 | \n390.83 | \n101.32 | \n101.32 | \n
\n | Benzene | \n[114] | \n1964 | \n513.17 | \n558.18 | \n2032.6 | \n4751.2 | \n
\n | Benzene | \n[115] | \n1987 | \n313.15 | \n313.15 | \n2.52 | \n24.37 | \n
\n | Benzene | \n[79] | \n1993 | \n298.15 | \n298.15 | \n0.82 | \n12.83 | \n
\n | Benzene | \n[139] | \n1995 | \n354.03 | \n425.26 | \n105 | \n303 | \n
\n | Benzene | \n[140] | \n2004 | \n308.15 | \n308.15 | \n4.03 | \n20.28 | \n
\n | Benzene | \n[141] | \n2006 | \n313.15 | \n313.15 | \n2.49 | \n24.37 | \n
\n | Toluene | \n[84] | \n1940 | \n376.12 | \n390.83 | \n101 | \n101 | \n
\n | Toluene | \n[142] | \n1963 | \n378.63 | \n390.83 | \n101.33 | \n101.33 | \n
\n | Toluene | \n[115] | \n1987 | \n313.15 | \n313.15 | \n2.52 | \n8.48 | \n
\n | Toluene | \n[134] | \n1990 | \n349.5 | \n389.9 | \n– | \n– | \n
\n | Toluene | \n[143] | \n1997 | \n360.9 | \n389.1 | \n56.4 | \n94.0 | \n
\n | Toluene | \n[119] | \n2003 | \n323.15 | \n390.15 | \n– | \n– | \n
\n | Toluene | \n[140] | \n2004 | \n308.15 | \n308.15 | \n2.49 | \n6.39 | \n
\n | Toluene | \n[129] | \n2012 | \n313.15 | \n313.15 | \n2.49 | \n8.39 | \n
\n | 1-hexene | \n[131] | \n2013 | \n313.15 | \n313.15 | \n2.48 | \n44.99 | \n
TBA | \nHeptane | \n[145] | \n1982 | \n313.15 | \n313.15 | \n12.33 | \n19.23 | \n
\n | Heptane | \n[146] | \n1983 | \n352.47 | \n371.42 | \n101 | \n101 | \n
\n | Heptane | \n[124] | \n1994 | \n313.15 | \n313.15 | \n14.81 | \n19.20 | \n
\n | Heptane | \n[147] | \n1995 | \n351.40 | \n368.23 | \n101.3 | \n101.3 | \n
\n | Heptane | \n[127] | \n2001 | \n352.25 | \n369.45 | \n95 | \n95 | \n
\n | 2,2,4-trimethylpentane | \n[148] | \n1999 | \n352.4 | \n372.5 | \n101.3 | \n101.3 | \n
\n | 2,2,4-trimethylpentane | \n[89] | \n2001 | \n318.13 | \n339.28 | \n15.85 | \n59.49 | \n
\n | 2,2,4-trimethylpentane | \n[149] | \n2006 | \n353.35 | \n370.55 | \n95.8 | \n95.8 | \n
\n | Cyclohexane | \n[150] | \n1976 | \n344.43 | \n354.33 | \n101 | \n101 | \n
\n | Cyclohexane | \n[71] | \n1983 | \n318.15 | \n318.15 | \n18.11 | \n36.23 | \n
\n | Cyclohexane | \n[151] | \n1985 | \n328.19 | \n343.28 | \n30.43 | \n95.1 | \n
\n | Cyclohexane | \n[98] | \n1995 | \n295.35 | \n344.28 | \n13.46 | \n101.40 | \n
\n | Methylcyclohexane | \n[110] | \n1989 | \n332.98 | \n332.98 | \n30.44 | \n46.33 | \n
\n | Methylcyclohexane | \n[148] | \n1999 | \n353.1 | \n374.0 | \n101.3 | \n101.3 | \n
\n | Benzene | \n[152] | \n1902 | \n347.10 | \n347.10 | \n100.66 | \n101.32 | \n
\n | Benzene | \n[153] | \n1933 | \n347.10 | \n347.10 | \n– | \n– | \n
\n | Benzene | \n[137] | \n1939 | \n298.15 | \n298.15 | \n5.60 | \n13.96 | \n
\n | Benzene | \n[154] | \n1969 | \n318.15 | \n318.15 | \n18.12 | \n34.32 | \n
\n | Benzene | \n[155] | \n1977 | \n346.58 | \n353.98 | \n101 | \n101 | \n
\n | Benzene | \n[79] | \n1993 | \n298.15 | \n298.15 | \n5.59 | \n14.83 | \n
\n | Benzene | \n[98] | \n1995 | \n296.66 | \n347.19 | \n13.59 | \n101.51 | \n
\n | Benzene | \n[156] | \n1998 | \n308.15 | \n308.15 | \n10.18 | \n23.48 | \n
\n | Toluene | \n[156] | \n1998 | \n308.15 | \n308.15 | \n6.40 | \n12.97 | \n
\n | Toluene | \n[148] | \n1999 | \n355.4 | \n383.8 | \n101.3 | \n101.3 | \n
Reported vapour-liquid equilibria for binary mixtures alcohol (1) + hydrocarbon (2).
Substance 1 | \nSubstance 2 | \nSubstance 3 | \nReferences | \nYear | \nTmin/K | \nTmax/K | \nPmin/kPa | \nPmax/kPa | \n
---|---|---|---|---|---|---|---|---|
1-butanol | \n2,2,4-trimethylpentane | \n1-hexene | \n[131] | \n2013 | \n313.15 | \n313.15 | \n2.48 | \n44.99 | \n
1-butanol | \ntoluene | \n1-hexene | \n[144] | \n2015 | \n313.15 | \n313.15 | \n2.51 | \n44.99 | \n
TBA | \nCyclohexane | \nBenzene | \n[98] | \n1995 | \n294.91 | \n344.25 | \n13.61 | \n101.36 | \n
Reported vapour-liquid equilibria for ternary mixtures alcohol (1) + hydrocarbon (2) + hydrocarbon (3).
Substance 1 | \nSubstance 2 | \nReferences | \nYear | \nTmin/K | \nTmax/K | \nPmin/kPa | \nPmax/kPa | \n
---|---|---|---|---|---|---|---|
1-propanol | \nHeptane | \n[157] | \n1976 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | Heptane | \n[158] | \n1981 | \n184.97 | \n300.00 | \n101 | \n101 | \n
\n | Heptane | \n[159] | \n1993 | \n298.15 | \n298.15 | \n101 | \n101 | \n
1-butanol | \nHeptane | \n[159] | \n1993 | \n298.15 | \n298.15 | \n101 | \n101 | \n
\n | 2,2,4 Trimethylpentane | \n[160] | \n2012 | \n293.15 | \n313.15 | \n101 | \n25,000 | \n
\n | Cyclohexane | \n[76] | \n2014 | \n293.15 | \n313.15 | \n101 | \n25,000 | \n
\n | Toluene | \n[161] | \n1991 | \n298.15 | \n368.15 | \n101 | \n101 | \n
\n | 1-Hexene | \n[86] | \n2013 | \n293.15 | \n313.15 | \n101 | \n25,000 | \n
Reported heat capacity for binary mixtures alcohol (1) + hydrocarbon (2).
Table 2 presents density data for the selected mixtures alcohol (1) + hydrocarbon (2). Fifty-nine references correspond to mixtures 1-propanol (1) + hydrocarbon (2) and 51 to the one 1-butanol (1) + hydrocarbon (2), while only 16 references have been found for TBA (1) + hydrocarbon (2).
\nFor 1-propanol (1) + hydrocarbon (2), only atmospheric pressure density data have been found for the binary mixtures, except Refs. [16, 56] that are above 5 MPa. The highest pressure, 30 MPa, is reported by Zeberg-Mikkelsen and Andersen [56]. Temperatures above 350 K are only measured by Zawisza and Vejrosta [16]. Concerning 1-butanol (1) + hydrocarbon (2), Refs. [67, 76] report pressure above the atmospheric pressure. Hundred Megapascal is the maximum pressure measured in Ref. [76]. Reference [67] also reports temperature above 350 K. Finally, mixtures TBA (1) + hydrocarbon are reported only at atmospheric pressure and moderate temperatures, being 323.15 K the highest measured temperature [87]. No data were found for the mixture TBA (1) + 1-hexene (2).
\nWith respect to the binary mixtures, Table 3 shows 43 references for VLE data on 1-propanol (1) + hydrocarbon (2), 47 for 1-butanol (1) + hydrocarbon (2) and 24 for TBA (1) + hydrocarbon (2). No references for the mixtures 1-propanol (1) + 1-hexene (2) and TBA (1) + 1-hexene (2) were found, while [131] was the only one for 1-butanol (1) + 1-hexene (2). Most references were found for pressures lower or equal to atmospheric pressure. Studies done in Refs. [97, 122, 132] were measured at moderate pressures, below 1.0 MPa, and only Ref. [114] reports pressure close to 5 MPa for both mixtures 1-propanol (1), or 1-butanol (1), + benzene (2).
\nConcerning temperature, most measurements were performed at low and moderate temperatures. Within the interval 350–400 K, we found a limited number of 27 set of data [51, 63, 84, 98, 105, 109, 111–113, 119, 121, 123, 125, 127, 128, 132, 134–136, 142, 143, 146–150, 155]. Only Refs. [16, 97, 114, 122, 139] report temperatures between 400 and 573 K.
\nOnly three references were found reporting VLE data of ternary mixtures, as shown in Table 4, at atmospheric or lower pressures. Temperatures were moderate, with maximum at 344 K measured in Ref. [98]. No ternary mixture with 1-propanol was found.
\n\nOnly eight references reporting heat capacity of binary mixtures alcohol (1) + hydrocarbon (2) are cited. Three of them correspond to the binary mixture 1-propanol (1) + heptane (2) at atmospheric pressure and at moderate temperatures (up to 300 K). No other mixture of 1-propanol with the any of selected hydrocarbons was found.
\n\nWhile the heat capacity of 1-butanol with heptane, 2,2,4 trimethylpentane, cyclohexane, toluene and 1-hexane was measured by several authors. It must be pointed out that some measurements [86, 160, 161] have been performed at pressures up to 25 MPa and temperature of 313 K.
\nThe literature review on thermodynamic properties of liquid mixtures of 1-propanol, 1-butanol and TBA with representative hydrocarbons has been reported. Seven hydrocarbons (linear, branched and cyclic alkanes, aromatics, and olefins) have been selected as representative of present and future unleaded gasoline. The review covers density, vapour-liquid equilibrium and heat capacity of mixtures.
\nThe review of density data shows a big amount of data at low pressure and moderate temperatures. Only two references report data above 30 MPa at a maximum temperature of 333 K. And at temperatures above 450 K, the maximum pressure is 5.5 MPa. With respect to the vapour-liquid equilibrium, only one reference shows measurements over 555 K at 5 MPa. Heat capacity data of mixtures are very scarce, tough some high pressure and high temperature data can be found for some alcohol + hydrocarbon mixtures.
\nThe performance of fuels and biofuels in engines and other devices shows a trend of increasing pressure and temperature, which leads to the need of more reliable predictive models for complex mixtures at such conditions. Availability of high pressure and high temperature thermodynamic properties is then a requisite for the implementation of these equation and models. The review shows a lack of reliable data at high pressure and high temperature thermodynamic data, which serve as a basis for the development of predictive equations and models.
\nAs being a kind of smart materials, shape memory polymers (SMPs) and their composites (SMPCs) are significantly attracting consideration [1, 2]. An excellent type of polymers seems to have been disclosed to demonstrate shape memory attributes [2, 3, 4], however, the various characterizations or even analysis techniques of shape memory characteristics along with the changing circumstances among various scientists (see Figure 1), which they possess intention that the claimed characteristics of SMPs are not identical. Consequently, the correlation between shape memory characteristics and the structures is not entirely recognized for certain categories of SMPs. Thus, this can probably obstruct the growth and development of high-performance of SMPs. Aside from that, in comparison with the prompt boost of the variety of SMPs, the main uses of SMPs lags much behind. One among the key factors is certainly utilized the characterization of the SMPs is not going to produce the extensive properties for scientists. For that reason, the analysis of SMPs is vital for the enhancement as well as implantations of SMPs. Based on the Scopus database, a literature analysis was carried out through using the keywords of “Shape Memory Polymers” and/or “SMPs” and the analysis graphs are presented in Figure 1. This chapter presents a basic overview up to the date the main employed characterization of the shape memory characteristics of polymers.
\nShape memory polymer publications based on (a) document type, (b) subject area, and (c) country/territory. “Scopus source accessed on January, 2019”.
The shape memory effect in the shape memory alloys is typically execute based on the test temperature of the austenite ↔ martensite transformation temperature, in which it occurs with the deformation of the SMAs in the martensitic phase during the loading and unloading at temperatures below Mf. After heating these deformed alloys to a temperature above Af, the austenite phase forms, and thus, the original shape is recovered. In addition, these temperatures are typically will be indicated based on the type of alloys. There are three main based-types of shape memory alloys; Titanium-based, Copper-based and Iron-based SMAs. Figure 2(a) shows a typical loading path 1 → 2 → 3 → 4 → 1, wherein the property of SME is observed [5]. The parent phase transforms into the twined martensite (1 → 2) when it undergoes the cooling process. The stress induced detwinning and inelastic strains can occur when the materials are loaded (2 → 3). The maternsite phase is in the same state of the detwinned structure without obtaining any recovered inelastic strains even after the unloaded process (3 → 4). In the final step, the materials are returned to the original shape by recovering the inelastic strains after being heated above Af (4 → 1). On the other hands, there are two types of shape memory effects can be occurred in the SMAs, namely, one-way and two-way SME. On the contrary, the SME of SMPs (see Figure 2b) is mainly influenced by the presence of phases that linked to the coiled or cross-linked polymer structure. The SMPs is deformed at a temperature below the glass temperature (Tg), and the percentage of deformation is mainly depending on molecular chains of polymer, in which they are controlled by the chemical composition and physical cross-linked structure of SMPs. After preheating the deformed polymers, these molecular chains are able to return back to the original coiled-shape structure. The shape-memory transformation varies according to the apparatus in which polymer molecules transpose between the restricted together with random entangled conformations. As comparison with the SMAs, the SMPs are able to exhibited only one-way SME, whereby, the SMPs deformation at the called phase “soft” only along with the incorporation of the external force [6]. The main benefits of SMPs over SMAs is dependent mainly on their inherent attributes, for instance, they are lower cost and/or density, easier manufacturing process associated with higher percentage of strain [7]. Table 1 details the principal differences in the SMPs and SMAs characteristics, in which the SMPs are able to obtain up to 800% strain compared with the lower strain in the range of 0.1–20% for SMAs or other types of materials.
\nSchematic diagram of (a) stress-strain-temperature for the involved crystallographic changes during the phenomena of SME [5], (b) one-way SME for SMPs.
Property | \nSMAs (Ti-based) | \nSMPs (Polystyrene) | \n
---|---|---|
Density/g.cm−3 | \n6–8 | \n0.9–1.1 | \n
Deformation strain (%) | \n<8 | \n≥800 | \n
Young Modulus at Temp.> Trans (GPa) | \n83 | \n0.01–3 | \n
Recovery speed (min) | \nBased on type of alloy | \n<0.1 min- several min | \n
Deformation stress (MPa) | \n50–200 | \n1–3 | \n
Thermal conductivity (W.m−1.K−1) | \n18 | \n0.15–0.3 | \n
Cost ($) | \n∼ 250 per pound | \n∼ 10 per pound | \n
To give details about the shape memory characteristics of polymers, a number of variables are essential. Initially, the variables can certainly reveal the characteristics of polymers. Following by the differentiation of them from other sorts of attributes of materials, shape memory capabilities are demonstrated by means of a variety of thermomechanical cyclic procedures. Consequently, the specifications must be able to describe the natural shape memory functions too. Finally, the structure of the variables must look into the prospective purposes. With taken the consideration of these kinds of aspects, a number of variables were presented and also quantified [9, 10, 11]. The variables are presented in the following subsections:
\nLike appears to have been explained in the foregoing parts, the shape memory behavior is initiated by heating the shape memory polymer to a temperature above the transformation temperature (Ttrans) [12], it could actually cultivate considerable deformations and this can be mainly predetermined by cooling the materials to a temperature below the Ttrans, whereby, this parameter was advocated to define the severity of a brief shape becoming fastened in a pattern of shape memorization [12, 13, 14]. It ought to be pointed out that the numerous perplexed utilizations as well as illustration appear in the characterization of SMPs. Regarding to the shape fixity, further sorts of capabilities for instance strain fixity [9] and also shape preservation [15, 16], stand for the exact same actual physical indication, in which the shape fixity (Rf) is comparable of the extension ratio of the predetermined deformation to the total deformation, which can be prearranged as:
\nFurthermore, the main mechanism of the shape fixity is attributed to the structure and thermomechanical conditions of the shape memory characteristics. The latter condition is significantly been implemented in shape fixity determination as well as the properties of shape memory materials. Wu et al. [17] shows the shape recovery of commercial ether-vinyl acetate copolymer (EVA) with a 300% of pre-stretching at the room temperature, as shown in Figure 3. It was revealed that as the number of cycles increased the strain recovery reduced, in which the residual strain starts from 136% and dropped to 112% after 20 min, and within the 9 h, it reaches to 94% and with increasing the time to 72 h, it ends up with 88%. It would be proven that as the time increased; the rapid creep turns to be gradual creep within the first 9 h. Therefore, a long term of the shape fixity ratio was described according to the value of residual strain. Julie et al. [18] demonstrated the shape fixity (Rf) of the epoxy network based on the torsion test, whereby the Rf was found based on the ratio of angle of torsion after unloading to the angle of torsion after loading. It was found that the shape fixity of epoxy within a dimension of 100 × 10 × 1 mm3 is about 95% at a deformation angle of 360o.
\nRelationship curve of stress-strain of EVA at the room temperature. Insets: (a) multiple cycles at different strains; (b) cyclic test [17].
Shape memory recovery (Rr) is mainly reflect the ability of any substance to recover the memorized shape after being deformed at low temperature and subsequently heated above the transformation temperature (Ttrans) [9, 12, 13]. It is significant to notice that, in a shape recovery event, the full strain energy is emitted by means of the two-recovery strain and stress. To a first approximation, nevertheless, the recovery stress to stain ratio is consistent for an identical material [19]. The stored strain energy, alternatively, ought to be influenced by the internal material energy needed in the deformation, despite the fact that the particular relationship is not recognized, in another words, the quantity of energy loss throughout the shape-fixing stage is not identified. Hence, there needs to be a minimum of a qualitative correlation between recovery stress together with deformation energy (or even input energy). Tobushi et al. [9] and Kim and coworkers [13] have performed the thermomechanical test with multi-cycles in purpose of evaluating the performance of SMPs and found the main determination of strain/shape recovery, in which can be calculated using the following interpretation:
\nWhile the shape recovery rate was determined by Li and Larock [20] after been utilized a bending test on SMPs and came with the following formula:
\nAccording the above-mentioned equations of (2) and (3), it can be proven that there are different mechanisms referring to the shape recovery in different perspectives. Julie et al. [18] obtained that the kinematic of the shape recovery of epoxy networks is a function of the applied deformation angle. It was found that a complete recovery (100%) was obtained and as the deformation increased the recovery ratio tends to decreased. They also found that the lower heating rate is able to attain a full recovery compared with the high heating rate. As both of two types of recovery are mainly related to the molecular mobility that been coincides with the variation of polymer viscoelasticity properties. They were also proven that the torsion test provides a useful interpretation on the molecular mobility with the glass transition when a uniformed deformation is applied. Moreover, the speed of recovery process and deformation of recovery speed were named by Li et al. [20] and Luo et al. [21], respectively, thereby, both terminologies were reflected the shape memory characteristics of polymers. The shape recovery process of different types of shape memory polymers was studies by Liu et al. [22] using video camera records within a rate of 20 frames per seconds. The results of their experiment revealed that the polymer was capable to obtain a full recovery after 0.7 s. Whilst, Luo et al. [21] found that the curve of shape recovery of SMPs as function of temperature and then the shape recovery speed was determined based on the following equation:
\nwhereas Vr is representing the shape recovery speed, dR/dT is the ratio of shape recovery Vs temperature, and dT/dt is the heating rate. On the other hands, Tobushi et al. [9], Takahashi et al. [23], and Kim [13] were performed the tensile test as thermomechanical cycling via a specially designed machine as shown in Figure 4a to study the shape memory characteristics of polymers, in which the tensile test process was isolated under a certain temperature and an extensometer was attached to record the stress–strain data and a programmable software was used to plot the final behavior of one or multicycle of relationship of stress versus strain versus temperature and then the shape recovery and memory effect were determined. Figure 4b shows the final curve behavior of shape memory effect, thereby the curve can be classified into four stages, as the first stage, the polymer sample is heated to a higher temperature (i.e. > transition temperature), which often temperature would be in range of 15–25°C. Second stage describes the strain behavior that maintained a constant strain (εm) followed with a cooling to a temperature lower than the transition temperature (room temperature) to obtain the permanent shape. The unloading process and the elastic recovery stress turns to reach a zero value at a certain strain (εu), as presented in stage 3. An external heating process was applied at a higher temperature to recover the original shape with a minimum value of residual strain (εp) as demonstrated in stage 1′ or 4 based on the type of polymer.
\n(a) Tensile test as thermomechanical cyclic machine; (b) shape memory effect curve [9, 13, 23].
Tobushi et al. [21] have demonstrated the shape recovery (Rr) of polymer at different temperatures and the Rr can be calculated based on the following equation:
\nThe Rr(N), εm, and εp are the shape recovery, residual strain, and plastic strain, respectively under a number of cycles (N), in which found that as the number of cycles increased, the shape recovery maintained to attain 100%. While, Kim and Lee [13] have found that the shape recovery using the following equation:
\nThereby, the shape recovery tends to decrease as the number of cycles increased and shown a stabilized behavior after a number of cycles. Another studies by Liu et al., [22] Lin and Chen [24] and Li and Larock [20] found that the employing of the bending test is much easier and more approachable than tensile test for the thermomechanical test. Figure 5 shows the mechanism of thermomechanical cycles using the bending test, whereas the shape memory polymer sample with a strip shape is bent to angle θmax at a higher temperature > transition temperature (Ttrans). The deformed sample followed by cooling process at a temperature < Ttrans, in which the sample been unloaded and shape recovery started to an angle represented by θfixed. However, with preheating the deformed sample, the original shape recovered gradually associated with number of θ(T) recorded. At the final stage, the sample turns to recover the final shape at angle of θfinal. Therefore, the shape recovery is determined using the following equation:
\nSchematic drawing of bending test as thermomechanical cycles test.
A compression test was also utilized to obtain the shape memory behavior of polyurethane shape memory polymer foam MF5520 at a nominal glass temperature of 63°C. The shape recovery behavior was obtained as the foams were compressed at T > Tg, then cool it to the room temperature, and finally the shape recovery SMP foam was investigated upon heating after different period time of hibernation. The results revealed that at 80 and 93.4% pre-strain and 1 N applied load, the recovery curves acquired the same trends without a full recovery as shown in Figure 6a and b, conversely, removing the applied load, the shape recovery was attained. On the other hands, the sample without hibernation displayed a reduction in the shape recovery as the load increased. Gall et al. [25] was investigated the shape recovery of the thermosetting polymer (CTD-DP7 SMP) along with their corresponding composites using a Dynamic Mechanical Analyzer (DMA). The prepared samples were placed in a three-point fixture and the tip of probe was in contacted to the inner surface of SMP sample. With fixed probe contact, the shape recovery was recorded as the temperature was increased.
\nExtension behavior representing the shape recovery SMP foams hibernated at different time for the pre-strain; (a) 80% and (b) 93.4%.
Lendlein and Kelch [12] described that the behavior of the shape memory for SMPs is not only linked to the polymer properties, but it is also mainly controlled by the structure and morphology associated with the manufacturing processes. Theretofore, the shape memory effect of any type of polymers is demonstrating the thermomechanical cyclic performance includes, shape recovery, deformation, and shape fixing and each of these processes associated with the condition of thermomechanical process are able to vary the shape memorization and thus affect the shape memory characteristics. Hence, it is essential for further development and advanced applications of SMPs to give a complete characterization. For instance, Wang et al. [26] have carried out the thermomechanical cyclic for SMP composite using the cyclic tensile test within 30 mm/min as displacement rate for 5 cycles, as shown in Figure 7a and b. They revealed in their results that there is a huge hysteresis between 1st and 2nd cycle, while these differences are attainment smaller from 2nd, 3rd, 4th and 5th cycles. These variations are mainly attributed to the existence of deformation, composite structure failure along with initial training effect for the 1st cycle. Figure 7b illustrates that the variation of residual strain at the room temperature versus the number of cycles, in which the residual strain tends to increased precipitously with final stabilization behavior as the number of cycles increased due to the resistance of the modified particles against the deformation, which will be explained in details in Section 3.2.
\n(a) Stress-strain curves of SMP composite under different loading-unloading cycles; (b) residual strain versus number of cycles of the reinforced SMP with different percentage of chopped carbon fiber [26].
Pieczyska et al. [27] have been studied the thermomechanical properties of polyurethane theoretically and experimentally under different mechanical loadings at temperature of 20°C above and below Tg at a strain rate of 2 per second within a strain range of 0.6/s. It was observed that when the temperature been slightly dropped, the thermoelastic effect stepped affected. On the other hands, the thermal images (see in Figure 8) are referring to the variations in the strain vales during the loading-unloading process, whereby the uniform distribution of the temperature replicated the deformation process in a macroscopically homogenously presented.
\nTrue stress-strain curve during loading and unloading of PU-SMP along with thermal images that represented different values of strain [27].
The design of SMPs and SMPCs thermomechanical behavior can be vary based on the changes in the polymer molecular structure and/or addition of functional particles or fillers in purpose of forming multi-phases composite SMPs. The reinforcement categorization for the SMP composite can be inserted under the particle/filler according to the type of applications. There are various types of particles can be incorporated with SMP, for instance, Silicon carbide (SiC), carbon nanotubes (CNT), nickel, carbon black (CB), clay, and Fe3O4 [28, 29, 30, 31] along with some others different fibers based on the application requirements [32, 33]. Thus, these types of additions or reinforcements are trigger to enhance the electrical and mechanical properties of SMPs.
\nThermally induced shape memory polymers have been characterized as a remarkable substance with a high recovery and shape memory effect is required, however, their mechanical properties such as modulus and strength are still low. Therefore, the incorporation of carbon nanotube (CNTs) with different types of polymer is essential and their inadequate properties are able to improve after a certain modification been considered [8, 34, 35]. On the other hands, the carbon nanotubes have the presented a potentially implementation the nanoelectronics devices, for example, electrochemical energy storage and artificial muscles. According to the above-mentioned deliberations, Kai Yu et al. [36] have studied the effect of carbon nanotubes on the shape memory effect of SMPs after being exposure to microwave radiation. It was found that the CNTs particles have been absorbed the electromagnetic radiation and converted to be an internal heating source, thus lead to induce a shape recovery for SMCs, as shown in Figure 9. Furthermore, increasing the frequency of radiation and/or amount of CNTs lead to enhance the shape recovery, whereas the SMPs composite within 3 and 5 wt.% of carbon nanotubes have shown a fully recovery in their shape, while, the SMPs within 1 wt.% addition has a lowered recovery with 80% less than high amount and the unrecovered shape has been resulted due to the insufficient amount of radiation to overcome the caused friction between the CNTs and polymer matrix. From the same point of view, another research was conducted poly(vinyl alcohol) (PVA) filled by CNTs, in which the results revealed that there is a wide boarding in the glass transition temperature and the initiated stress during the recovery was almost double value compared with the conventional polymer [37]. Conversely, Raja et al. [38] found that there no apparent for the shape recovery of PU/PVDF polymer blend nanocomposites after been deformed in “U” shape and preheated using a hot water with a temperature of 60°C for 2 h and followed by a direct quenching in cold water, as demonstrated in Figure 10a. An external heating source using a DC controller with a 40 V was attached to the ends of modified polymer strips to activate/initiate the shape recovery. In spite of this, the modified PU/PVDF nanocomposites with CNTs fillers, namely as PUPF-NTM10 has been recovered after 15 s and others samples filled with pristine CNT, namely as PUPF-NTP10 has been recovered the complete shape after 30 s with the external applying of electrical impulse. It was also found that repeating the shape memory test (i.e. increase the number of cycles) led to reduce the shape memory ratio as depicted in Figure 10b.
\nSequence of the shape recovery process of the SMP composites under microwave radiation (2.45 GHz): (a) deformation process and (b) modified SMP/CB/CNT sample shape recovery and temperature distributions.
(a) SME of unmodified PUPF-NTP10 pristine and CNT modified PUPF-NTS10 filled with PU/PVDF nanocomposites; (b) recovery ratio versus number of cycles [38].
The influence of multi-walls CNTs on the shape memory effect of epoxy nanocomposites was deliberate by Abishera et al. [39] as implementation in the self-healing systems applications under different programming conditions. It was revealed that the changing in the programming conditions obtained an excellent shape memory behavior, as well as, the incorporation of the multi-walls of CNTs has indicated an improvement in the young modulus, strength, recovery speed and shape fixity of epoxy associated with drops in the failure strain. Qi et al. [40] have investigated the shape memory properties of polylactide (PLA)/thermoplastic poly(ether)urethane (TPU) composites after been reinforced with carbon black (CB) nanoparticles within the blending ratio of 70:30 by weight. Due to the continuous phase of thermoplastic poly(ether)urethane (TPU), an outstanding shape memory behavior was acquired for the novel ternary structure of PLA70/TPU30/CB, wherein it resulted in the occurrence of the persuasive recovery driving force. In addition, the addition of CB with different percentages displays a slight improvement in the shape fixing ratio (Rf) of 90% (see in Figure 11), this may relate to the elongated TPU phase retraction, in which resulted in a total rigid of polylactide phase at 25°C. As the temperature increased more than Tg, the amorphous chains of PLA started to move and thus release constrained TPU phase. The principal contributor in the enhancement of shape recovery ratio (Rr) is the strong pliability of TPU phase and addition of CB, as it was shown only 59% for the binary phase of PLA70/TPU30 and increased to 80.2% as the CB was added, as shown in Figure 11a and b. Moreover, the increment in the heating time under a consistent 30 V led to increase the shape memory ratio of the ternary phases of PLA70/TPU30/CB6 and PLA70/TPU30/CB8, as shown in Figure 11c. The fastest shape recovery response for PLA70/TPU30 after 8 wt.% addition of CB with 90% ratio in 80 s, on the other hands, the PLA70/TPU30 with 6 wt.% of CB approached the same ratio in 150 s, as illustrated in Figure 11d. Haibao Lu et al. [41] presented the shape memory behavior of shape memory polymer nanocomposite (SMPs) after carbon nanotube and boron nitride additions using a bending testing with an Infrared light-induced as heating source. A full recovery 100% in 60 s was recorded for the modified SMP with 4 wt.% boron nitride and CNTs, as shown in Figure 12(a-c), in which the unmodified sample was obtained shape recovery lower than 80% in the same exposure heating time, as shown in Figure 12d. This kind of improvements is mainly attributed to the particle of boron nitride that have been improved the thermal conductivity through the facilities of the heat transfer in the composite polymers [44, 45], and thus, CNTs and boron nitride additions have been drastically superior the infrared light-induced shape recovery.
\nRepresentation design of the shape recovery of (a) binary blends of PLA70/TPU30 and (b) ternary blends of PLA70/TPU30/CB5; (c) recovery ratio (Rr) versus CB contents and (d) shape fixing (Rf) versus time PLA70/TPU30/CB6/8 [40].
Optical shape recovery of (a) pristine SMP, (b) nanocomposite SMP reinforced with 4 wt.% of BN, (c) nanocomposite SMP reinforced with 4 wt.% of BN and CNTs, and (d) shape recovery ratio versus time for pristine SMP with and without BN/CNT reinforcements [41].
The effects of the nanosized noble metals-based, such as gold (Au) and silver (Ag) nano-particles/wires on the structure and properties of SMPs have shown a great interest for the researchers and scientists as a multi-responsive shape memory polymer in composite form [8, 42, 43]. Due to the large surface and high plasmonic resonance, these nanosized metals been offered a structure that able to absorb the specific wavelength and convert it into heat energy, thus produce a remarkable type of polymer with high shape actuation and wavelength activation.
\nThe cross-link structure between the polymer and ion-metals as ligand coordination have shown a promising method to produce shape memory polymers with noteworthy properties. An isonicotinate-functionalized polyester (PIE) was studied by Wang et al. [44], which they described the effect of silver (Ag) addition to the coordination of the polymer network structure to produce the strip specimens. The shape memory effect was measured based on the DMA test, whereas the strips was heated to 50°C for 1 min, followed by bending process into spiral shape. The shape fixation was carried out by frozen the deformed strips at 0°C for 1 min. Lastly, the strips were recovered the initial shape after being heated to 40°C using hot air. It was found that the modified strip was shown an excellent shape recovery at 37°C for 60 s, as shown in Figure 13. Another study on producing a film by Lu et al. [45], the shape memory behavior was investigated using bending test, where the sample was bent in U-like shape at 160°C and cooled to the room temperature (which it was about 22°C). it was found that the sample contains the Ag particles decorated GO has recovered 100% after 36 s within an electric power of 3.87 Watt, as shown in Figure 14.
\nShape memory effect of Ag–PIE in PBS at 37°C [44].
Shape memory effect of SMPs composite induced by joule heating based on (a) trend scale of temperature, (b) reinforcement of carbon fiber grafted with graphene oxide, (c) reinforcement of carbon fiber grafted with nanoparticles of Ag associated with GO decoration [45].
The behavior of the electro-response shape recovery of the surface modified of SMP with Ag nanowires layer was investigated by Luo et al. [46]. The recoded data of shape recovery versus time as shown in Figure 15a, the results exhibited that the Ag modified samples were not only able to recover the full initial shape but also with fastest speed recovery in shorten time compared with un-modified samples. It was also found that the higher addition of Ag led to reduce the shape recovery, and therefore, the external heating source was essential. As the heating increase, the thermal transition was occurred and consequently the shape recovery developed. Figure 15b shows that with the applied external heat of 5 volt, the bent angle turns to be change within 3 s, this because the presence of nanofillers is capable of conductive network reduction and subsequently increase the resistivity of the strain sensitivity and conductivity [47].
\n(a) Shape recovery ratio versus exposure time under a voltage of 5 V; (b) shape recovery demonstration under different exposure times [46].
A semi-crystalline PEO20K polymer was prepared by Zhang et al. [42] using a cross-linked loaded with nano-particles, whereas found that the gold addition is not utilized to obtain/control the shape memory effect, however, it has also enhanced the properties of self-healing of SMPs. An exceptional concern in such a form of substances is the fact that SMPs necessitate an everlasting system structure (characteristically cross-linked) that could be in confrontation with the substantial a string movability and also inter-diffusion intended for the manufacturing of self-healing properties (SHP) polymers. Within this purpose, the configuration of the SHP it can be more suitable to develop materials upon one single-polymer with the two light-controlled shape-memory and optical recovery features. It was found that the addition of small amount of AuNPs of 0.003 wt.% to the cross-linked poly (ethylene oxide) (PEO) films was sufficient enough to deliberate the main shape memory properties of produced films. The shape memory effect of the produced films is shown in Figure 16.
\nOptical healing/recovery procedure of a film made from a cross-linked PEO/AuNP using light controlled as a source of heating: (a) Original film, (b) temporary shape obtained by folding the film along the lines a1, a2, a3 at 80 ?C followed by cooling to room temperature; then two cuts were made as indicated by red arrows (b1 and b2 in photo a), (c) the b1 cut was healed by exposing the crack to laser (12 W/cm2) for 5 s; (d) the first unbending after 10 seconds laser scanning along the fold a1 at a power of 6 W/cm2, followed by the second unbending under the same condition along the fold a2; (e) the other cut b2 remained in the film of an intermediate temporary shape; (f) the cut b2 was optically healed under the same condition as for the cut b1; (g) the third light-triggered unbending along the fold a3 completed the permanent shape recovery.
In 2009, Hribar et al. [48] have been developed a modified polymer network, namely β-amino esters, whereas the modified nanocomposites SMPs has demonstrated shape memory effect using IR light as heating source within a temperature above glass transition temperature (Tg). The results exhibited that the prompt shape recovery was spotted until the transformation turn out the path of the beam associated with a thermal transition in the polymer from glassy ⇒ rubbery networks. There are new perspectives for the actuated and functional shape memory polymer that recently been used in different application, for examples: dry adhesives, panels of light-tracking solar, light-guided for smart windows and even actuators. Zheng et al. [49] have been produced a light responsive SMPs as micropillar with a diameter of 10 μm mixed with 0.1–0.2 mol% of AuNRs in a hexagonal array using poly(dimethylsiloxane) mold as replica molding. To obtain a temporary shape, the pillars were bent at different angles (θ = 30, 45, and 60°) at a temperature above the glass transition temperature (i.e., T = 20°C) and then following by cooling process to the room temperature, as shown in Figure 17a and b. A heating source was applied using a green laser with a wave-length of 532 nm for different period of times and the shape recovery was monitored by optical microscopy. The results revealed that within 0.08 W, as a laser power, the pillars need 40 s to recovery their temporary shape, however, with raising the laser power to 0.3 W, they grabbed the original shape within only 5 s. It was also found that when the pillars are ground to be collapsed, the shape recovery will not be able to obtain a full recovery (i.e.,100%), and this may attribute to the large force of adhesion between the substrate and pillars, in which it has particularly a higher value than the stored elastic energy of the deformed pillars.
\nRecovery time versus (a) bending angle and (b) laser power, of the reinforced SMPs with AuNRs at 45o pillar angle [49].
A cross-linked poly(ethylene oxide) (PEO) loaded with 0.5 wt.% AuNPs was experienced to bending loading and unloading along with an exposure to a laser source within a wave-length of 532 nm and power of 0.15 W [50]. The deformation process involved a stretching of the modified PEO/AuNPs to 90% (approximately 200% strain) at 80°C above the Tm, followed by cooling to the room temperature. The top surface of the film was exposure to the laser in purpose of maintaining the anisotropic relaxation in the polymer chains, followed by cooling a temperature below Tm and consequently, resulted in fixing the temporary shape, as shown in Figure 18(a–f), in which the main principles of the technology to exploited the unique shape memory effect property in numerous types of photothermal based shape memory polymers. On the other hands, the adaption of the light polarization has also shown a significant effect on the shape memory property, in which it led to control the photo-based thermal effect, as shown in 2013 study by Zhang et al. [51], whereas the cross-linked network polymer of PVA containing of 0.02 wt.% AuNRs film was stretched and heated to a temperature of 80°C, i.e., above the Tg to maintain the shape permanent transformation, as shown in Figure 19(a–c). A laser in a linear polarization featured with a wave-length of 785 nm and 0.2 W/cm2 was applied. The results revealed that there is no shape recovery was obtained when the polarization was perpendicular to the deformed film, even after 2 minutes of exposure. Whilst, the deformed shape was fully recovered in 10 s when the polarization turned to be in parallel direction aligned with stretching direction. The reason behind the directional effects can be elucidated that there was no longitudinal absorption in the perpendicular direction, thus resulted with no heat released. However, with the parallel direction, the longitudinal absorption reached to the maximum, and subsequently, the temperature increased above the glass transition temperature (Tg) that lead to reactivate the shape recovery.
\nOptical observation of the shape transformation of cross-linked PEO film reinforced with AuNPs using a laser as a temperature source; (a) original film, (b) deformed sample at 80 °C, (c) large-out of plane bending, (d) gradient chain relaxation and (e,f) shape recovery after applying the laser heating source.
Shape memory characteristics of PVA/0.02 wt.% AuNR with the light polarization-dependent at the room temperature; (a) optical images of the shape memory behavior; (b) recovery angle verse exposure time under different period of times in two directions, parallel and perpendicular; (c) relationship curve of recovery angle and polarization angle in 1 minute exposure using a light polarization [51].
Generally, the enhancement in the shape memory polymer mechanical properties is still limited and their reinforcement with short fibers and/or particles is irrationally to be proposed as structural substances [52]. Therefore, the reinforcement with continuous fiber has been attentionally employed to improve the mechanical properties of SMPs [53, 54]. Due to the highly potentialized SMPs, their usages are widely fulfilled for various advanced applications, such as solar arrays, trusses and antennas, which they essential with no moving segments [32]. Furthermore, the majority of researches with regards to SMPs composites are involved in thermoplastic SMPs resins such as polyurethane SMPs. Nevertheless, the comparatively inadequate thermal together with mechanical properties, for instance, moisture, temperature and/or chemical resistance of thermoplastic SMPs are not able to fulfill sensible demands [2]. Thermosetting SMPs, in spite of this, established a marked improvement in the latter characteristics which enable it to be extremely popular for many practical and or structural resources. The development of the fabricated polyurethane SMPs reinforced with carbon-based fiber was implemented for the industrial applications [55, 56, 57], a larger ratio of the bending recovery was exhibited in the reinforced polymers compared with pure SMPs sheets, from the same point of view, the epoxy-based SMCs namely EMC (Elastic Memory Composite) was potentially executed for the structure of spacecraft applications, as this EMC was developed in the early 1990s by Composite Technology Development (CTD) [58, 59]. Gall et al. [60] have been investigated the deformation micro-mechanisms of EMC and highlighted the development interaction reinforcement between the epoxy EMC laminate as shape memory polymers resins and fibers and found that because of the changing in the surface of the neutral-strain and micro-buckling effects, the reinforced SMP was able to produce a large value of compression strain compared with the traditional resin composite. Furthermore, the development of composite of thermosetting styrene-based reinforced with fiber was studied by Leng et al. [61], and found due to the good strain capabilities and their relative properties, these types of reinforced-polymers have been potentially chosen to take a part of the structure’s applications. From the same perspectives, as a comparison with the pure SMPs, the carbon-based fibers present better thermomechanical properties, and thus been proposed to be use as multi-functional materials [32, 62]. The reinforcement of the glass and kevlar fibers SMPs composite have obtained a superior improvement in the stiffness associated with decrement in the recoverable strain, has been premeditated by Liang et al. [52]. On the other hands, the chopped glass fibers were added to the thermoplastic SMPs and their influences on the shape memory characteristics were examined by Ohki et al. [55]. It was found that the reinforcement by 50 wt.% glass-fiber entertains increment in the failure stress to 140% and reduced the recovery rate to 62%. Another study by Wang et al. [26] demonstrated the shape memory effect of TPI SMPCs under the effect of different mass fraction of the chopped carbon-fibers at three experimental temperatures of 299, 319, and 339 k, as shown in Figure 20a. it was found that both experimental variables; temperatures and fibers reinforcement have been remarkable affected the shape memory effect of TPI polymers. The shape recovery ratios tend to rapidly increased as the applied temperatures increased and reinforcement ratio of carbon fiber decreased (see Figure 20b), which can be justified these variations that as the cross-linked structure are getting dense, their movements are required more energy and the chain segment movements would be required a higher free space. Therefore, as the temperatures increased, the chain segments will have enough energy to release and thus perform the shape recovery.
\n(a) Shape memory effect behavior with the reinforced SMP along with (b) the shape recovery ratio [26].
Figure 21a and b displays the epoxy-based SMPs reinforced of carbon fibers with four percentages ratio of 16, 23, 30, and 37% were designed by Li et al. [63]. The designed composites have demonstrated an excellent shape recovery at 120°C within a ratio of 90% and obtained a full recovery 100% after 20 min at the same temperature. The recovery ratio behaved proportionally with the mass fraction of fibers and inverse proportional with the partial load level. Extensive researches were carried out on different types of SMPs matrix and various fiber reinforcements because of the increasing demands for different applications as been summaries in Table 2.
\n(a) Stress recovery curves for four percentages of fiber reinforcement; (b) recovery ratio of the reinforced SMP composites with 23 and 37% mass fraction within different partial loads [63].
Summary of various types of fibers and their shape memory effect.
Shape memory polymers (SMPs) and their composite (SMPCs) have exhibited exceptional features that led to proposed them to be implemented as advanced materials for the current and potential applications. However, the traditional shape memory characteristics and features are quite limited to due to their abilities of recovering the original shape using the heating source only. Therefore, the reinforcements with micro/nano-fillers and particles or fibers are essentially important to be considered to meet the needed functions and performances. Furthermore, the reinforced SMPs and SMPCs are not only demonstrated a significant mechanical and shape memory properties, but also obtained noble features after being exposure to any electro-or-thermal heating source. Based on the previous researchers, the foreseeable future concepts of SMPs and SMPCs may well-rely on how to adopt the benefits of this kind of properties, in addition to, exceptional attributes as advanced alternatives. On the positive front, the practical applications probability of SMPs and SMPCs are found extensively when displayed in the remarkably distinct application principles which may have seemed in the recent peer-reviewed publications and also patents. Moreover, we believe that the investigation of the advanced features of these types of materials is still in development of new design and/or incorporations. The actual vital, hence, can be found in the finding of substantial beneficial functions wherefore SMPs and SMPCs are enablers or even no less than tremendously excellent substitutes.
\nThe author(s) would like to thank the Management and Science University (MSU) for providing the research support under the Seed Research Grant No. SG-451-0518-ISE.
\nThe authors declared without any conflict of interest.
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