Numerical Modelling and Optimization in Advanced Manufacturing Processes (Materials Forming, Machining and Tribology)

✍ Scribed by Chander Prakash (editor), Sunpreet Singh (editor), Aminesh Basak (editor), J. Paulo Davim (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 171
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
Contents
About the Editors
Parametric Appraisal of Plastic Injection Moulding for Low Density Polyethylene (LDPE): A Novel Taguchi Based Honey Badger Algorithm and Capuchin Search Algorithm
1 Introduction
2 Experimental Procedure
3 Honey Badger Algorithm (HBA)
4 Capuchin Search Algorithm (CSA)
5 Result and Discussions
6 Conclusion
References
A Comparison of Ferrofluid Flow Models for a Curved Rough Porous Circular Squeeze Film Considering Slip Velocity and Various Shapes
1 Introduction
2 Analysis
3 Results and Discussion
4 Conclusion
References
Simulation and Optimization Study on Polishing of Spherical Steel by Non-newtonian Fluids
1 Introduction
2 Shear Thickening Polishing Process
2.1 Principle of STP Method for the Spherical Surface
2.2 Fluid Simulation on Spherical Surface in STP Process
3 Optimization Results and Discussion
3.1 Regression Model
3.2 Optimal Results
4 Conclusions
References
3D Modeling and Analysis of Femur Bone During Jogging and Stumbling Condition
1 Introduction
2 Material Properties of Femur Bone
3 Loading Conditions
4 Creating 3D Model of Femur Bone
5 Boundary Conditions
6 Mesh Preparation
7 Femur Bone FEA Analysis
7.1 Stresses for a Person of BW 98 kg (Jogging Condition)
7.2 Stresses for a Person of BW 75 kg (Jogging Condition)
7.3 Stresses for a Person of BW 55 kg (Jogging Condition)
7.4 Stresses for a Person of BW 98 kg (Stumbling Condition)
7.5 Stresses for a Person of BW 75 kg (Stumbling Condition)
7.6 Stresses for a Person of BW 55 kg (Stumbling Condition)
8 Comparison Between Deformation and Stresses of Jogging and Stumbling Condition
8.1 Comparison of Total Deformation During Jogging and Stumbling for Different Body Weight
8.2 Comparison of Equivalent Stress During Jogging and Stumbling for Different Body Weight
8.3 Comparison of Maximum Principal Stress During Jogging and Stumbling for Different Body Weight
8.4 Comparison of Normal Stress During Jogging and Stumbling for Different Body Weight
9 Conclusion
References
On Parametric Optimization of TSE for PVDF-Graphene-MnZnO Composite Based Filament Fabrication for 3D/4D Printing Applications
1 Introduction
2 Material and Method
3 Experimentation
3.1 Pilot Experimentation
3.2 Final Experimentation
4 Results and Discussion
4.1 UTM Testing
4.2 Optimization of Young’s Modulus
4.3 Shore D Hardness
4.4 Morphological Analysis
5 Conclusion
References
Multi-factor Optimization for Joining of Polylactic Acid-Hydroxyapatite-Chitosan Based Scaffolds by Rapid Joining Process
1 Introduction
2 Research Background
3 Research Methods
4 Case Study
5 Results and Discussion
6 Conclusions
References
Analysis of Dimensional Accuracy of Fused Filament Fabrication Parts Using Genetic Algorithm and Taguchi Analysis
1 Introduction to Rapid Prototyping
2 Methodology
3 Results and Discussions
4 Conclusions
References
Introduction to Optimization in Manufacturing Operations
1 Introduction
1.1 Optimization Problem
1.2 History of Optimization Techniques
1.3 Generic Framework of Optimization Algorithms
1.4 Types of Optimization Algorithms
1.5 Maxima—Minima
1.6 Local Optima—Global Optima
1.7 Exploration—Exploitation
1.8 Gradient Descent
2 The Particle Swarm Optimization Algorithm (PSO)
2.1 PSO Methodology
2.2 Effect of Constants
2.3 PSO Variants
3 The Ant Colony Optimization Algorithm (ACO)
3.1 ACO Methodology
4 Genetic Algorithm
4.1 GA Methodology
5 Discussions
6 Conclusion
References
Potential Application of CEM43 °C and Arrhenius Model in Neurosurgical Bone Grinding
1 Introduction
2 Material and Methods
2.1 CEM43 °C Thermal Dose Thresholds
2.2 Relationship Between Arrhenius Models and the CEM 43 Thermal Dose
2.3 Thresholds for Tissue’s Thermal Damage
2.4 Time–Temperature Analysis of Cell Killing
2.5 Neurosurgical Bone Grinding
3 Case Studies
4 Conclusion
References
An Effective Selection of Laser Cutter Used in Stent Manufacturing Through Fuzzy TOPSIS
1 Introduction
1.1 Motivation and Contribution
2 Preliminaries
3 Proposed Trapezoidal Fuzzy TOPSIS Algorithm
4 Illustration
5 Conclusion
References