Forth Coming: Metal Forming Processes

Computational Intelligence in Manufacturing

Kaushik Kumar, Ganesh M. Kakandikar and J. Paulo Davim

Computational Intelligence in Manufacturing addresses applications of AI, 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, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management.

Nature Inspired Optimisation in Advanced Manufacturing Processes and Systems

Ganesh M. Kakandikar and Dinesh G. Thakur

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 relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

Sheet Metal Forming Optimisation: Bioinspired Approaches

Ganesh M. Kakandikar and Nandedkar Vilas M.

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. 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.

Change Management in Supply Chain

Sudhir Shivankar, Ganesh Kakandikar and Vilas Nandedkar

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

Evolutionary Optimisation Of Sheet Metal Forming

Ganesh Kakandikar and Vilas Nandedkar

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 important to understand the influence of all parameters on process output and to optimise them.

Contributed Book Chapters

CAD/CAM, Robotics and Factories of the Future

Dipak Kumar Mandal and Chanan Singh Syan

BOOK CHAPTER: Harshal Shinde, Akshata Sangle, Sumit Shendkar, Omkar Kulkarni, Ninad Kulkarni, G.M. Kakandikar and V.M. Nandedkar “Optimization of Vibration of Collecting Plates of Electrostatic Precipitator Through FEA” edited by D.K. Mandal and C.S. Syan (eds.), CAD/CAM, Robotics and Factories of the Future, Lecture Notes in Mechanical Engineering, ISBN 978-81-322-2738-0 DOI 10.1007/978-81-322-2740-3_44 

Optimization For Engineering Problems

Kaushik Kumar and J. Paulo Davim

 BOOK CHAPTER: Sushant MhatugadeOmkar Kulkarni, G.M. Kakandikar and V.M. Nandedkar, Development of a Multi-objective Salp Swarm Algorithm for Benchmark Functions and Real-world Problems Optimization for Engineering Problems, Edited by Kaushik Kumar, Birla Institute of Technology, Mesra, Ranchi, India J. Paulo Davim, University of Aveiro, Portugal, SBN: 9781786304742 

Big Data Analytics in Healthcare

Anand Kulkarni, Patrick Siarry, Pramod Kumar Singh

 BOOK CHAPTER: G. M. Kakandikar and V. M. Nandedkar, Big Data in Healthcare: Technical Challenges and Opportunities in Big Data in Healthcare, Edited by Anand Kulkarni; Patrick Siarry, Pramod Kumar Singh; Ajith Abraham; Mengjie Zhang; Albert Zomaya; Fazle Baki, Springer, 2020. 

Polymers and Composite Manufacturing

Kaushik Kumar and J. Paulo Davim

BOOK CHAPTER: Sushant P. Mhatugade, Ganesh M. Kakandikar, Omkar K. Kulkarni and V.M. Nandedkar Design, Optimization and Manufacturing of Mono Composite Carbon/Epoxy Leaf Spring having Varying Cross Section, DEGRUYTER.

Data Engineering and Communication Technology

K. Srujan Raju, Roman Senkerik, Satya Prasad Lanka and V.Rajagopal

 BOOK CHAPTER: Abhishek G. Neve, Ganesh M. Kakandikar Omkar Kulkarni and V. M. Nandedkar, Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm Data Engineering and Communication Technology, pp 941-952, First Online: 09 January 2020, Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1079) 

Modern Manufacturing Processes

Kaushik Kumar and J. Paulo Davim

BOOK CHAPTER: Gyan Patel and Ganesh Kakandikar, Investigations on effect of

thickness and rolling direction of thin metal foil on forming limit  curves in micro forming process

Advanced Manufacturing and Processing Technology

Chander Prakash, Sunpreet Singh and J. Paulo Davim

BOOK CHAPTER: Kakandikar Ganesh, Rahul Dhage, Omkar Kulkarni and Nandedkar V. M. Optimization of Machining Parameters of High-Speed Tool path to Achieve Minimum Cycle Time for Ti-6Al-4V

Metaheuristic Algorithms in Industry 4.0

Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni and Patrick Siarry

BOOK CHAPTER: Omkar Kulkarni, G. M. Kakandikar, and V. M. Nandedkar, Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life Problems

Recent Advances in Manufacturing Processes and Systems

Dr. Harshit K. Dave, Dr. Uday Shanker Dixit and Prof. Dumitru Nedelcu

BOOK CHAPTER: Balaji M. Jagtap, Ganesh M. Kakandikar & Samidha A. Jawade, Mechanical Behavior of Inconel 625 and 17-4 PH Stainless Steel Processed by Atomic Diffusion Additive Manufacturing.

Computational Intelligence in Manufacturing

Kaushik Kumar, Ganesh M. Kakandikar and J. Paulo Davim

BOOK CHAPTER: Ganesh M.Kakandikar, Vilas M.Nandedkar and Omkar K.Kulkarni, Multiverse multiobjective optimization of thinning and wrinkling in automotive connector.

Smart Innovations and Technological Advancements in Civil and Mechanical Engineering

Satish Chinchanikar, Ashok Mache, Shardul G. Joshi and Preeti Kulkarni.

BOOK CHAPTER: Christoph Schiffers, Manish Adwani, Omkar Kulkarni, Atul Kulkarni, and Ganesh Kakandikar, Process Parameter Optimization by Ant Lion Algorithm of Austenitic Stainless Steel (SS 304) for Cutting Force in Turning Using PVD-Coated Tools Deposited with TiAlN/TiSiN Coating Materials.