Open access peer-reviewed Edited Volume

Simulation Modelling

Constantin Volosencu

Polytechnic University of Timişoara

Prof. Constantin Volosencu is a holder of 27 patents, manager of research grants, member of editorial boards of international journals, a former plenary speaker, a member of scientific committees, and chair at international conferences. He has developed electrical equipment for machine tools, spooling machines, high-power ultrasound processes, and others.


Simulation Modelling Simulation Language Simulation Environment Sensitivity Analysis Artificial Intelligence Machine Learning Grid Computing Power System Immunology Deep Learning Computer System Model Checking

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About the book

This book aims to promote new research results in the field of simulation modelling - the process of creating and analyzing digital prototypes of physical models to predict their performances in the real world. With the development of computers and numerical approximation methods, simulation modeling has become a means of verifying various scientific and engineering theories, based on methods such as: 2D and 3D simulation modelling as digital prototype for design, analysis calculations, algorithms, finite element analysis, thermal, structural, and fluid. Based on analyses of the approximate working conditions by applying the simulation software, designers and engineers can understand whether, under what conditions, and in which ways a part could fail and what loads it can withstand. Based on simulation modelling, the researchers may optimize geometry for weight and strength, select materials and budget requirements, simulate part failure and identify the loading conditions that cause them, assess extreme environmental conditions or loads not easily tested on physical prototypes, such as earthquake shock load, or validate the likely safety and survival of a physical prototype. Researchers are invited to contribute on the following topics: theoretical aspects of simulation modelling, methodology and application of simulation modelling in different areas, simulation languages and environments. Relevant new theories, methods or algorithms, and their applications are encouraged.

Publishing process

Book initiated and editor appointed

Date completed: March 10th 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: June 6th 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: August 25th 2021

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: October 24th 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Constantin Volosencu

Polytechnic University of Timişoara

Constantin Voloşencu is a professor in the Department of Automation, 'Politehnica” University Timisoara, Romania. He is the editor of nine books and author of ten books, five book chapters, more than 170 scientific papers published in journals and conference proceedings, and twenty-seven patents. He is also a manager of research grants, a member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His research is in the fields of control systems, control of electric drives, fuzzy control systems, neural network applications, fault detection and diagnosis, sensor network applications, monitoring of distributed parameter systems, and power ultrasound applications. He has developed electrical equipment for machine tools, spooling machines, high-power ultrasound processes, and more.

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Book chapters authored 3

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