Catalin Alexandru

Transylvania University of Brașov

Cătălin Alexandru is a professor at the Transylvania University of Braşov (Romania), within the Product Design, Mechatronics and Environment Department. His teaching and research activity centers mainly on modeling, simulation, optimization and testing of mechanical and mechatronic systems. Dr. Alexandru is a PhD Supervisor in Mechanical Engineering, and he is currently the director of the University Doctoral Council. He is also the coordinator of the virtual prototyping laboratory at the Design of Mechanical Elements and Systems Research Center. He has published more than 250 scientific papers in mainstream journals, books chapters, and conference proceedings. He currently serves as an editor of the Bulletin of Transilvania University of Braşov - Series I: Engineering Sciences. Dr. Alexandru is a member of the International Federation for the Promotion of Mechanism and Machine Science (IFToMM), as well as of the International University Association for Science and Technology of Romania (UASTRO). In 2012 he edited the book Modeling and Simulation in Engineering.

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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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