This book discusses the basic theoretical model and implementation method of intelligent machining technology and promotes the application of intelligent machining technology in the manufacturing of complex aviation components, such as aero-engine blisk, casing parts and blades. It not only presents the fundamental theory of intelligent machining, but also provides detailed examples of applications in the aviation industry.The topics covered include intelligent programming, intelligent processing models, process monitoring, machining process control, intelligent fixtures and applications in aviation components machining.This book is intended for researchers, engineers and postgraduate students in fields of manufacturing, mechatronics, mechanical engineering and related areas.

Offers insights into the intelligent machining of complex components Presents detailed fundamental theory with practical applications in the aviation manufacturing industry A comprehensive overview of intelligent machining, including intelligent programming, process model evolution and more

Autorentext

Dinghua Zhang received the B.S., M.S., and Ph.D. degrees in advanced manufacturing engineering from Northwestern Polytechnical University, Xi'an, China, in 1981, 1984, and 1989, respectively. He was with Cornell University, Ithaca, NY and Rochester University, Rochester, NY as a Visiting Scholar in 1996-1999. He is a full Professor in Northwestern Polytechnical University. His research interests include intelligent NC machining, mold design and manufacturing, digital manufacturing system, and digital testing. Prof. Zhang is a member of ASME, Chinese Mechanical Engineering Society, and Chinese Aerospace Society. Ming Luo received the B.S., M.S. and Ph.D. degrees in advanced manufacturing engineering from Northwestern Polytechnical University, Xi'an, China, in 2005, 2008 and 2012, respectively. From 2012 to 2017, he was an Assistant Research Fellow in the University. Since 2017, he has been an Associate Research Fellow. His research interest includes multi-axismachining, data-driven intelligent machining, machining process monitoring and optimization. Baohai Wu received the Ph.D. degree in engineering thermophysics from Xi'an Jiaotong University, Xi'an, China, in 2005. From 2008 to 2016, he was an Associate Professor with the Northwestern Polytechnical University. Since 2016, he has been a Professor in the University. His research interest includes CAD/CAM, multi-axis NC machining. Ying Zhang received the Ph.D. degree in advanced manufacturing engineering from Northwestern Polytechnical University, Xi'an, China, in 2011. From 2014 to 2017, she was an Assistant Research Fellow in Northwestern Polytechnical University. Since 2017, she has been an Associate Research Fellow in the University. Her research interest includes CAD/CAM, multi-axis NC machining.

Inhalt
Introduction.- Multi-state evolution model for time-varying machining process.- Machining process monitoring and data processing.- The learning and evolution of the process model.- The adaptive adjustment of the machining process.- The adaptive positioning method and intelligent fixture.- The hierarchical machining database.