Intelligent Manufacturing: Materials Forming, Machining and Tribology
Editat de Sunil Pathaken Limba Engleză Paperback – 23 iul 2021
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 617.90 lei 6-8 săpt. | |
Springer International Publishing – 23 iul 2021 | 617.90 lei 6-8 săpt. | |
Hardback (1) | 623.96 lei 6-8 săpt. | |
Springer International Publishing – 22 iul 2020 | 623.96 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030503147
ISBN-10: 3030503143
Ilustrații: X, 196 p. 58 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Materials Forming, Machining and Tribology
Locul publicării:Cham, Switzerland
ISBN-10: 3030503143
Ilustrații: X, 196 p. 58 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Materials Forming, Machining and Tribology
Locul publicării:Cham, Switzerland
Cuprins
Optimization using traditional techniques.- Multi-criteria decision making through soft computing and evolutionary techniques.
Notă biografică
Dr. Sunil Pathak is specialized in gear engineering and advanced/hybrid manufacturing processes. He has been working in the field of gear engineering since last 9 years and advanced manufacturing for over 6 years. He has conducted extensive research on advanced finishing of gears. He possesses specialized skills in gear finishing, gear metrology (micro, and macro-geometry) and measurement of gear accuracy. He is also working in developing cold spray coatings as sustainable process for manufacturing of 3D additive manufacturing components and repair/remanufacturing engineering, where he has especially gained experience in materials and remanufacturing engineering. He has developed analytical models of manufacturing processes and optimizing parameters to achieve overall sustainability in manufacturing.
Textul de pe ultima copertă
This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft computing to enhance production performance, efficiency and sustainability in manufacturing. The latest research in this area as well as possible avenues of future research are also highlighted.
Caracteristici
Reports traditional and advanced optimization methods in manufacturing Covers all important aspects of optimization techniques Presents the development in materials perspective