Optimization of Manufacturing Processes

1. Front Matter

   Pages i-viii

   PDF

2. Modelling and Optimization of Alpha-set Sand Moulding System Using Statistical Design of Experiments and Evolutionary Algorithms

   • G. C. Manjunath Patel, Ganesh R. Chate, Mahesh B. Parappagoudar

   Pages 1-28

3. Optimization of Electric Discharge Machining Based Processes

   • Roan Kirwin, Aakash Niraula, Chong Liu, Landon Kovach, Muhammad Jahan

   Pages 29-63

4. Optimization of Accuracy and Surface Finish of Drilled Holes in 350 Mild Steel

   • A. Pramanik, A. K. Basak, M. N. Islam, Y. Dong, Sujan Debnath, Jay J. Vora

   Pages 65-90

5. Modelling and Optimization of Laser Additive Manufacturing Process of Ti Alloy Composite

   • Rasheedat M. Mahamood, Esther T. Akinlabi

   Pages 91-109

6. Prediction and Optimization of Tensile Strength in FDM Based 3D Printing Using ANFIS

   • Shilpesh R. Rajpurohit, Harshit K. Dave

   Pages 111-128

7. Optimization of Abrasive Water Jet Machining for Green Composites Using Multi-variant Hybrid Techniques

   • G. C. Manjunath Patel, Jagadish, Rajana Suresh Kumar, N. V. Swamy Naidu

   Pages 129-162

8. An Integrated Fuzzy-MOORA Method for the Selection of Optimal Parametric Combination in Turing of Commercially Pure Titanium

   • Akhtar Khan, Kalipada Maity, Durwesh Jhodkar

   Pages 163-184

9. Application of Multi-objective Genetic Algorithm (MOGA) Optimization in Machining Processes

   • Nor Atiqah Zolpakar, Swati Singh Lodhi, Sunil Pathak, Mohita Anand Sharma

   Pages 185-199

10. Optimization in Manufacturing Systems Using Evolutionary Techniques

    • Ravi Shankar Rai, Vivek Bajpai

    Pages 201-229

11. Back Matter

    Pages 231-232

    PDF

This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. 

Optimization of Manufacturing Processes is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.

• Evolutionary Techniques
• Intelligent Manufacturing
• Artificial Neural Networks
• Fuzzy-Logic
• Genetic Algorithms
• Optimization in manufacturing
• Engineering Economics
• quality control, reliability, safety and risk

• Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, Doornfontein, Johannesburg, South Africa

  Kapil Gupta

• Assistant Professor, University Center for Research and Development, Chandigarh University, Gharuan, Mohali, India

  Munish Kumar Gupta

Professor Kapil Gupta is an associate professor in the Dept. of Mechanical and Industrial Engineering Technology at the University of Johannesburg. He obtained PhD in mechanical engineering with specialization in Advanced Manufacturing from Indian Institute of Technology Indore, India in 2014. Advanced machining processes, sustainable manufacturing, precision engineering and gear technology are the areas of his interest and specialization. Dr. Gupta published several SCI Journal articles and delivered presentations in some International Conferences. He possesses over five years of professional experience in academic and research environment. Currently, he is doing research in advanced/modern machining,  sustainable manufacturing and gear engineering. He has a good experience in implementing various optimization techniques for single and multi-objective optimization tasks in manufacturing.

Dr Munish Kumar Gupta, is an assistant professor at Chandigarh University, Gharuan, Punjab-India. He obtained a PhD from National Institute of Technology Hamirpur India in 2018. His area of interests includes sustainable machining, optimization, intelligent machining, rapid prototyping and advanced optimization methods. He has published several research papers in national and international journals and conference proceedings. He has expertise in implementation of statistical and evolutionary optimization techniques in manufacturing.

Policies and ethics