Vibration Assisted Machining: Fundamentals, Modelling and Applications (Research on Intelligent Manufacturing)

Bai, Wei; Gao, Yuan; Sun, Ronglei

ISBN 10: 9811991332 / ISBN 13: 9789811991332

Published by Springer, 2024

About this Item

1st ed. 2023 edition NO-PA16APR2015-KAP.

Seller Inventory # 26399408478

Bibliographic Details

• Title: Vibration Assisted Machining: Fundamentals, Modelling and Applications (Research on Intelligent Manufacturing)
• Publisher: Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 9811991332
• ISBN 13: 9789811991332
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Author

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.