This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
16 farbige Abbildungen, 10 s/w Abbildungen
X, 75 p. 26 illus., 16 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 6 mm
Weight
ISBN-13
978-3-030-00035-6 (9783030000356)
DOI
10.1007/978-3-030-00036-3
Schweitzer Classification
Sumit Bhowmik
is an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India. Composite materials, optimization techniques and mechanical behaviour of materials under different constraint are his current research area of interest.
Jagadish
is an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India. His areas of interests are Modeling of advanced manufacturing process, Green manufacturing and Applied soft computing techniques.
Kapil Gupta
is an Associate Professor at the Dept. of Mechanical and Industrial Engineering Technology at the University of Johannesburg, South Africa. Advanced machining processes, sustainable manufacturing, precision engineering and gear technology are the areas of his interest and specialization. Currently, he is doing research in advanced/modern machining, sustainable manufacturing and gear engineering.
Introduction.- Modeling and Optimization of Electrical Discharge Machining.- Modelling and optimization of abrasive water jet machining process.- Modeling and Optimization of Ultrasonic Machining Process.- Modeling and Optimization of Rapid Prototyping Process.
