BOOKS AUTHORED/EDITED, BOOK CHAPTERS PUBLISHED

Computational Intelligence in Manufacturing addresses applications of artificial intelligence, machine learning, and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome. It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered.

The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and the relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

Automotive and aerospace components, utensils, and many other products are manufactured by a forming/drawing process on press machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing process. This book offers the readers with application and suitability of various evolutionary, swarm, and bio-inspired optimisation algorithms for sheet metal forming processes. The book initiates by presenting basics of metal forming, formability followed by discussion of process parameters in detail, prominent modes of failure, basics of optimisation and various bioinspired approaches followed by optimisation studies on various industrial components applying bioinspired optimisation algorithms.

In today’s high competitive environment, companies consider effectiveness of Engineering Change Management in Supply Chain. Different studies have proved that Engineering Changes in the Supply Chain are costly and time consuming. The PLM Change Process is a system that automates the Life Cycle Management for a product change. Therefore, change management process is reviewed and analysed and formulated with new work flow. New work flow is developed in new Cloud ERP system. The Cloud ERP system (also called SaaS ERP) meets the requirements of all departments within a quality-driven manufacturer. With new developed system, organisation is able to improve product quality with built-in real-time controls.

Drawing/Forming/Stamping is a compression-tension forming process, which are widely used sheet metal working processes in the industries, to produce cup shaped components at a very high rate. In this process the blank is generally constrained over the draw punch into the die to give required shape of cavity. In drawing the sheet material is subject to a large plastic deformation combined with a complex flow of material. When a metal sheet is deep drawn, the development of wrinkling and a decrease in the limit drawing ratio should be simultaneously suppressed. Blank holder is applied to prevent the wrinkling in the flange & cup wall. Wrinkling is basically initiated by localised buckling due to compressive stresses in circumferential direction. Tensile stress in radial direction causes tearing. Friction coefficient μ is usually used as a main indicator of friction, which is dependent on material, contact surface and lubricant. Appropriate punch nose radius & die profile radius should be selected. The success of process depends upon various parameters and their interactions. It is important to understand the influence of all parameters on process output and to optimise them.