Metal Forming Processes: Developments in Experimental and Numerical Approaches: Ganesh M. Kakandikar, Anupam Agrawal, D. Ravi Kumar Metal forming processes include bulk forming and sheet metal forming with numerous applications. This book covers some of the latest developments aspects of these processes such as numerical simulations to achieve optimum combinations and to get insight into process capability. Implementation of new technologies to improve performance based on Computer Numerical Control (CNC) technologies are also discussed, including the use of CAD/CAM/CAE techniques to enhance precision in manufacturing. Applications of AI/ML, the Internet of Things (IoT), and the role of tribological aspects in green engineering are included to suit Industry 4.0.
Available As Reference Book in Libraries At
| Sr. No. | Name of University | Link |
| 01 | National Institute of Technology, Durgapur | Click here |
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. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered.
Available As Reference Book in Libraries At
| Sr. No. | Name of University | Link |
| 01 | Wentworth Institute of Technology, Boston | Click here |
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.
Available As Reference Book in Libraries At
| Sr. No. | Name of University | Link |
| 1 | National Institute of Technology Karnataka, Surathkal | Click here |
| 2 | Northeastern University, Boston | Click here |
| 3 | Indian Institute of Technology (IIT), Jodhpur | Click here |
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.
Available As Reference Book in Libraries At
| Sr. No. | Name of University | Link |
| 1 | National Institute of Technology Karnataka, Surathkal | Click here |
| 2 | Vellore Institute of Technology | Click here |
Change Management in Supply Chain Sudhir Shivankar, Ganesh M. 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 Mhatugade, Omkar 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.