Epicyclic Gearing

This book provides a broad introduction to the optimization techniques used in the design and manufacturing of epicyclic gearing. A wide variety of optimization techniques are covered, with a strong focus on practical application. The formulation of the underlying mathematical models and the algorithms for solving them are explained, which are then applied to solve real-world problems in epicyclic gearing. Figures and charts are provided to convey the intuition behind the various approaches. Each chapter includes a detailed case study based on a real-world application of epicyclic gearing. The case studies highlight the realities and challenges in the design optimization of epicyclic gearing systems, illustrate the application of optimization techniques in a real-world context, compare different optimization techniques in terms of performance, ease of use, etc., and identify the areas of future work. Suitable for gear professionals and researchers alike, the book will be of interest to those in the fields of mechanical engineering, statistics, computer science, aerospace, automotive engineering, and operations research.

Dr. Chandrasekaran G obtained his UG degree in Mechanical Engineering from The Institution of Engineers (India) in 1986, a PG degree in Engineering Design from Anna University, Chennai, India, in 1989 and PhD in Mechanical Engineering from Anna University, Chennai, India, in 2020. He has vast academic experience, having worked in prominent engineering colleges in India and taught subjects related to mechanical engineering and automobile engineering to undergraduate and postgraduate students. His research interests include gear design, optimization techniques, sustainable design and manufacturing, renewable sources of energy, and automotive engineering. He is a co-author of four research papers and one book chapter published in specialized international journals.

Chapter 1. Introduction to Epicyclic Gearing Chapter 2. Introduction to Design Optimization of Epicyclic Gearing Chapter 3. Design Optimization of Power Take-Off Gearbox Using Multi-Objective Genetic Algorithm - NSGA-II Chapter 4. Design Optimization of Wind Turbine Generator Gearbox Using Multi-Objective Particle Swarm Optimization Algorithm Chapter 5. Design Optimization of Helicopter Gearbox Using Multi-Objective Simulated Annealing Algorithm Chapter 6. Design Optimization of Electric Vehicle Gearbox Using Multi-Objective Ant Colony Optimization Algorithm Chapter 7. Design Optimization of Wolfrom Epicyclic Gearing for Robotic Actuator Using Multi-Objective Optimization Techniques Chapter 8. Optimization Techniques for the Sustainable Manufacture of Epicyclic Gearing