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ویرایش: نویسندگان: Chander Prakash (editor), Sunpreet Singh (editor), Aminesh Basak (editor), J. Paulo Davim (editor) سری: ISBN (شابک) : 3031043006, 9783031043000 ناشر: Springer سال نشر: 2022 تعداد صفحات: 178 [171] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 7 Mb
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در صورت تبدیل فایل کتاب Numerical Modelling and Optimization in Advanced Manufacturing Processes (Materials Forming, Machining and Tribology) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مدل سازی عددی و بهینه سازی در فرآیندهای تولید پیشرفته (تشکیل مواد ، ماشینکاری و تریبولوژی) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
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