Titlebook: AI Applications in Sheet Metal Forming; Shailendra Kumar,Hussein M. A. Hussein Book 2017 Springer Science+Business Media Singapore 2017 Sh

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Knowledge-Based System for Design of Deep Drawing Die for Elliptical Shape Parts,978-3-322-81103-5

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Prediction of Life of Compound Die Using Artificial Neural Network,978-3-662-07933-1

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Book 2017ate these activities, which are covered in this book. This book will be useful for engineers workingin sheet metal industries, and will serve to provide future direction to young researchers and students working in the area..

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Topics in Mining, Metallurgy and Materials Engineeringhttp://image.papertrans.cn/a/image/142770.jpg

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Lecture Notes in Computer Sciencee ease of forming them. Design of sheet metal forming dies, however, is complex and largely experience-based. This chapter presents an overview of applying artificial intelligence (AI) tools and techniques in designing and planning of sheet metal progressive dies. Human skills and expertise are stil

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Wenjuan Li,Yu Wang,Jin Li,Man Ho Auciated with volume subtraction from base-sheet (e.g., piercing/blanking operation), deformation/modification of base-sheet or forming operation on base-sheet. The shape features in a sheet-metal part model are classified as (i) Volumetric features and (ii) Deformation features. These features can al

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