Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.
The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.
The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.
Author(s): Kaushik Kumar, Divya Zindani, J. Paulo Davim
Series: Artificial Intelligence (AI) in Engineering
Publisher: CRC Press
Year: 2021
Language: English
Pages: 156
City: Boca Raton
Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
Editor Bios
Section I: State of Art
Chapter 1: An Overview of Machine Learning Implementation in Various Industrial Scenarios: Agriculture, Healthcare and Enterprise
Section II: Application towards Mechanical Engineering
Chapter 2: Artificial Intelligence in Predicting the Optimized Wear Behaviour Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles
Chapter 3: Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique
Chapter 4: A Comparison of ACO and GA for Routing AGVs via C#
Chapter 5: Intelligent Control Design Schemes of a Two-Link Robotic Manipulator
Chapter 6: Maize Leaf Disease Detection and Classification Using Deep Learning
Section III: Application towards Industrial Engineering
Chapter 7: Inspectorate Patterns for Cell Recognition in Cellular Manufacturing
Chapter 8: Optimization of Operating Parameters of Wire EDM
Index
