This book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.
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Dr. Panagiotis Kyratsis (www.kyratsis.com) is Associate Professor in the Department of Product and Systems Design Engineering, University of Western Macedonia, Greece. He is Director of the Institute of Traditional Architecture and Cultural Heritage, University Research Center “TEMENUS” (urc.uowm.gr). Dr Panagiotis Kyratsis received his Ph.D. in the area of CAD-based manufacturing process simulations from the Department of Production Engineering and Management, Technical University of Crete, Greece. He holds a diploma in Mechanical Engineering from the Aristotle’s University of Thessaloniki - Greece, and he received his M.Sc. in Automotive Product Engineering and M.Sc. in CAD/CAM from Cranfield University - UK, in 1997 and 1999, respectively. He has been involved in a number of industrial projects, and he has a great deal of expertise in both the design and the manufacturing aspects of product development. His main research interests include manufacturing, machining, CAD/CAM/CAE systems, product design, reverse engineering and prototyping. He has published 18 books and more than 110 papers in scientific journals and international conferences. He acts as Member of the Editorial Board and Reviewer to numerous scientific journals and holds 12 industrial designs and one patent registered within the Greek Patent Office.
This book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.
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