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AI Applications in Sheet Metal Forming

  • Shailendra Kumar
  • Hussein M. A. Hussein

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ravi Kumar Gupta, Yicha Zhang, Alain Bernard, Balan Gurumoorthy
    Pages 15-39
  3. Shailendra Kumar, Rajender Singh, Deepak Panghal, Sachin Salunkhe, Hussein M. A. Hussein
    Pages 41-66
  4. Hussein M. A. Hussein, Azza F. Barakat, Wang Fengyin, Shailendra Kumar
    Pages 67-92
  5. Ragab K. Abdel-Magied, Tamer F. Abdelmaguid, Mostafa Shazly, Abdalla S. Wifi
    Pages 121-160
  6. Sachin Salunkhe, Shailendra Kumar, Hussein M. A. Hussein
    Pages 183-216
  7. Sachin Salunkhe, Shailendra Kumar, Hussein M. A. Hussein
    Pages 217-243
  8. Deepak Panghal, Shailendra Kumar, Hussein M. A. Hussein
    Pages 245-290

About this book

Introduction

This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers working in sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.

Keywords

Sheet Metal Forming Die Design Die Life Artificial Intelligence Knowledge Based Systems for Die Design Feature Recognition Process Planning Blanking Deep Drawing Bending

Editors and affiliations

  • Shailendra Kumar
    • 1
  • Hussein M. A. Hussein
    • 2
  1. 1.Mechanical Engineering DepartmentS.V. National Institute of TechnologySuratIndia
  2. 2.Mechanical Engineering DepartmentHelwan UniversityCairoEgypt

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-2251-7
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-2250-0
  • Online ISBN 978-981-10-2251-7
  • Series Print ISSN 2364-3293
  • Series Online ISSN 2364-3307
  • Buy this book on publisher's site