AI Applications in Sheet Metal Forming

Nonfiction, Science & Nature, Technology, Material Science, Manufacturing
Cover of the book AI Applications in Sheet Metal Forming by , Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789811022517
Publisher: Springer Singapore Publication: October 25, 2016
Imprint: Springer Language: English
Author:
ISBN: 9789811022517
Publisher: Springer Singapore
Publication: October 25, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Understanding Digital Signal Processing by
Cover of the book Innovative Polymeric Adsorbents by
Cover of the book Advances in Smart Grid and Renewable Energy by
Cover of the book Modeling, Analysis and Control of Hydraulic Actuator for Forging by
Cover of the book Global Change and Human Mobility by
Cover of the book Thermoelectrical Effect in SiC for High-Temperature MEMS Sensors by
Cover of the book China Satellite Navigation Conference (CSNC) 2018 Proceedings by
Cover of the book Reliability Improvement Technology for Power Converters by
Cover of the book Medicinal Plants and Fungi: Recent Advances in Research and Development by
Cover of the book Impact of Climate Change on Water Resources by
Cover of the book Function Spaces and Inequalities by
Cover of the book Understanding and Modeling Förster-type Resonance Energy Transfer (FRET) by
Cover of the book Playful User Interfaces by
Cover of the book Anaerobic Technology in Pulp and Paper Industry by
Cover of the book The European Union by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy