Vibration Assisted Machining: Fundamentals, Modelling and Applications
Wei Bai · Yuan Gao · Ronglei Sun
velj 2023. · Springer Nature
E-knjiga
213
str.
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O ovoj e-knjizi
Vibration assisted machining is becoming a potential machining process for difficult-to-cut materials in aerospace and biomedical applications. This book presents the fundamentals, modelling and applications of vibration assisted machining process. It provides investigations on cutting forces, temperature, cutting stability, surface topography, microstructure evolution and tool wear in vibration assisted machining. Three representative regimes (i.e., ultrasonically assisted machining, modulation assisted machining and elliptical vibration machining) are investigated in this book. The systematic and in-depth research in this process will provide important theoretical and practical reference for researchers and engineers in relative fields.
O autoru
Dr. W. Bai received his B.S. degree in mechanical and manufacturing engineering from Wuhan University of Technology, and Ph.D. degree in mechatronic engineering from Huazhong University of Science and Technology. He has been with Loughborough University (2016-2017) and The University of Tokyo (2018) as Joint-Ph.D. and visiting scholar respectively, and as a research assistant in Huazhong University of Science and Technology (2019-2021). He is currently a professor in the School of Mechanical and Electronic Information, China University of Geosciences. His research interests are vibration assisted machining, machining mechanism and process, advanced manufacturing technology and equipment. Dr. Y. Gao received his B.S. degree in mechanical engineering and automation from Wuhan University of Technology, and Ph.D. degree in mechatronic engineering from Huazhong University of Science and Technology. He has been with Aerospace Research Institute of Materials & Processing Technology since 2018 as an engineer. His research interests are modulation assisted machining, machining mechanism and machining process modelling. Prof. R. Sun received his Ph.D. degree and has been as a Professor in Huazhong University of Science and Technology. His research interests include robotics, digital rehabilitation and medical equipment, intelligent manufacturing and machine learning. He has published more than 70 papers and received 15 national patents and software copyrights. He serves as secretary-general of Intelligent Manufacturing Committee, China Association of Artificial Intelligence.
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