Numerical Modelling and Optimization in Advanced Manufacturing Processes [electronic resource] / edited by Chander Prakash, Sunpreet Singh, Aminesh Basak, J. Paulo Davim.

Chapter 1. Parametric Appraisal of Plastic Injection Moulding for Low Density Polyethylene (LDPE): A Novel Taguchi based Honey Badger Algorithm and Capuchin Search Algorithm (Siddharth Jeet) -- Chapter 2. A Comparison of ferrofluid flow models for a curved rough porous circular squeeze film considering slip velocity and various shapes (Jimit R. Patel) -- Chapter 3. Simulation and optimization study on polishing of spherical steel by non-Newtonian fluids (Duc-Nam Nguyen) -- Chapter 4. 3D Modeling and Analysis of Femur Bone during Jogging and Stumbling Condition (Imran Ahemad Khan) -- Chapter 5. On Parametric Optimization of TSE for PVDF-Graphene-MnZnO Composite Based Filament Fabrication for 3D /4D Printing Applications (Vinay Kumar) -- Chapter 6. Multi-factor Optimization for Joining of Polylactic acid-Hydroxyapatite-Chitosan based Scaffolds by Rapid Joining Process (N. Ranjan) -- Chapter 7. Analysis of Dimensional Accuracy of Fused Filament Fabrication Parts Using Genetic Algorithm and Taguchi Analysis (J.S. Chohan) -- Chapter 8. Introduction to Optimization in Manufacturing Operations (Debojyoti Sarkar) -- Chapter 9. Potential Application of CEM43℃ and Arrhenius Model in Neurosurgical Bone Grinding (Atul Babbar) -- Chapter 10. An effective selection of laser cutter used in Stent manufacturing through Fuzzy TOPSIS.

This book presents different numerical modeling and nature-inspired optimization methods in advanced manufacturing processes for understanding the process characteristics. Particular emphasis is devoted to applications in non-conventional machining, nano-finishing, precision casting, porous biofabrication, three-dimensional printing, and micro-/nanoscale modeling. The book includes practical implications of empirical, analytical, and numerical models for predicting the vital output responses. Especial attention is given to finite element methods (FEMs) for understanding the design of novel highly complex engineering products, their performances, and behaviors under simulated processing conditions.