Catalin Alexandru

Transylvania University of BrașovRomania

Dr Cătălin Alexandru is a Professor at the Transylvania University of Braşov (Romania). His focus is on Product Design, Mechatronics, and the Environment Department. His teaching and research activity centers on the dynamic modeling and simulation and the mechanical and mechatronical systems. His experience in this field can be summarized as follows: - PhD Supervisor in Mechanical Engineering; - Co-ordination of the virtual prototyping laboratory at the Product Design for Sustainable Development Research Center; - Bachelor and Master Degrees with emphasis on virtual prototyping tools, virtual prototyping, modeling and simulation in engineering, and virtual prototyping of renewable energy systems; - Publication of books and scientific papers in international journals and conference proceedings; - Co-ordination of research projects that address the modeling and simulation in virtual environment for various types of mechanical and mechatronical systems; - Post-graduate programs in the field of informatics applied in engineering and software solutions for virtual prototyping; - Member of national and international organization that promotes research in the field of mechanical and mechatronical systems.

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Latest work with IntechOpen by Catalin Alexandru

This book provides an open platform to establish and share knowledge developed by scholars, scientists, and engineers from all over the world, about various applications of the modeling and simulation in the design process of products, in various engineering fields. The book consists of 12 chapters arranged in two sections (3D Modeling and Virtual Prototyping), reflecting the multidimensionality of applications related to modeling and simulation. Some of the most recent modeling and simulation techniques, as well as some of the most accurate and sophisticated software in treating complex systems, are applied. All the original contributions in this book are jointed by the basic principle of a successful modeling and simulation process: as complex as necessary, and as simple as possible. The idea is to manipulate the simplifying assumptions in a way that reduces the complexity of the model (in order to make a real-time simulation), but without altering the precision of the results.

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