Industrial Strategies and Solutions for 3D Printing (eBook, PDF)
Applications and Optimization
Redaktion: Vanaei, Hamid Reza; Tcharkhtchi, Abbas; Khelladi, Sofiane
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Industrial Strategies and Solutions for 3D Printing (eBook, PDF)
Applications and Optimization
Redaktion: Vanaei, Hamid Reza; Tcharkhtchi, Abbas; Khelladi, Sofiane
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INDUSTRIAL STRATEGIES AND SOLUTIONS FOR 3D PRINTING Multidisciplinary, up-to-date reference on 3D printing from A to Z, including material selection, in-process monitoring, process optimization, and machine learning Industrial Strategies and Solutions for 3D Printing: Applications and Optimization offers a comprehensive overview of the 3D printing process, covering relevant materials, control factors, cutting-edge concepts, and applications across various industries such as architecture, engineering, medical, jewelry, footwear, and industrial design. While many published books and review…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 320
- Erscheinungstermin: 27. Februar 2024
- Englisch
- ISBN-13: 9781394150311
- Artikelnr.: 70175559
- Verlag: John Wiley & Sons
- Seitenzahl: 320
- Erscheinungstermin: 27. Februar 2024
- Englisch
- ISBN-13: 9781394150311
- Artikelnr.: 70175559
Field 1 Hamid Reza Vanaei, Sofiane Khelladi, and Abbas Tcharkhtchi 1.1
Introduction 1 1.2 Unveiling the Foundations: Grasping the Essential
Features of 3D Printing 2 1.2.1 Historical Review 2 1.2.2 Potential of 3D
Printing from Lab to Industry 5 1.2.3 Challenges and Potential Roadmap
Toward Solving them in 3D Printing 6 1.2.3.1 High Building Rate 3D Printing
Process 9 1.2.3.2 Big Area Additive Manufacturing (BAAM) System 9 1.2.3.3
Faster FFF 3D Printing System 10 1.2.3.4 Improvement of Interfacial Bonding
and Strength in Z-Direction 11 1.2.4 Role of Controlling Factors in 3D
Printing 12 1.3 Multiphysics Behavior in 3D Printing Process 13 1.3.1
Physicochemical and Mechanical Phenomena of 3D-printed Parts 13 1.3.2
Thermal Features of 3D-printed Parts 14 1.3.3 Rheological Evaluations in 3D
Printing 15 1.3.3.1 Mastering the Flow: Essential Fundamentals of Rheology
15 1.3.3.2 Optimizing with Rheological Insights 16 1.3.4 In-process
Temperature Monitoring in 3D Printing 17 1.4 3D Printing Perfection:
Unveiling the Power of Optimization 18 1.4.1 Importance of Multiphysics
Evaluation in 3D Printing 18 1.4.2 Optimizing the Controlling Factors and
Characteristics of 3D-printed Parts 20 1.4.3 Role of Machine Learning in 3D
Printing 21 1.5 Future Outlook 22 1.5.1 Emerging Horizons in
Multidisciplinary 3D Printing 22 1.5.2 Building Life with Precision 22
1.5.3 Architectural Revolution: Design and Construction Reimagined 23 1.5.4
Sustainable Manufacturing: A Green Revolution 23 1.6 Summary and Outlooks:
Pioneering a Multidisciplinary Renaissance 23 References 24 2 Potential of
3D Printing from Lab to Industry 25 Zohreh Mousavi Nejad, Nicholas J.
Dunne, and Tanya J. Levingstone 2.1 Introduction 25 2.2 Architecture and
Construction Industry 26 2.3 Healthcare and Medical Industry 28 2.3.1
Dental and Craniomaxillofacial 29 2.3.2 Medical Devices 30 2.3.3 Drug
Delivery and Pharmaceutical 31 2.3.4 Tissue Engineering 32 2.3.5
Personalized Treatment 35 2.4 Textile and Fashion Industry 35 2.5 Food
Industry 37 2.6 Aerospace Industry 39 2.7 Conclusions and Future
Perspectives 40 References 40 3 Applicable Materials and Techniques in 3D
Printing 43 Saeedeh Vanaei and Mohammad Elahinia 3.1 Introduction 43 3.2
Materials in 3D Printing 45 3.2.1 Metals 45 3.2.1.1 Aluminum Alloys 45
3.2.1.2 Stainless Steel 45 3.2.1.3 Titanium Alloys 46 3.2.1.4 Nickel-based
Shape Memory Alloys 46 3.2.1.5 Cobalt Chrome Alloys 46 3.2.2 Polymers 47
3.2.2.1 Polylactide 47 3.2.2.2 Acrylonitrile Butadiene Styrene 47 3.2.2.3
Polyamide 47 3.2.2.4 Polycarbonate 48 3.2.3 Ceramics 48 3.2.4 Composites 48
3.2.4.1 Fiber Reinforced Composites 49 3.2.4.2 Particle Reinforced
Composites 49 3.3 Techniques in 3D Printing 49 3.3.1 Fused Deposition
Modeling 52 3.3.2 Powder Bed Fusion 52 3.3.3 Direct Energy Deposition 52
3.3.4 Binder Jetting 53 3.3.5 Material Jetting 53 3.3.6 Sheet Lamination 54
3.3.7 Vat Photopolymerization 54 3.4 Summary and Outlook 54 References 55 4
Diverse Application of 3D Printing Process 59 Shohreh Vanaei and Nader
Zirak 4.1 Introduction 59 4.2 3D Printing: Transforming Manufacturing
Landscapes 60 4.3 Application of 3D Printing: Different Manufacturing
Technology 61 4.3.1 Fused Deposition Modeling 61 4.3.1.1 Revolutionizing
Prototyping with Fused Deposition Modeling (fdm) 61 4.3.1.2 Functional
End-Use Parts in Manufacturing 61 4.3.1.3 Medical Advancements Through FDM
61 4.3.1.4 Education and Conceptual Learning 62 4.3.1.5 Sustainability and
Customization 62 4.3.2 Stereolithography 62 4.3.2.1 Precision Prototyping
and Beyond with Stereolithography (sla) 62 4.3.2.2 Tailoring the Medical
Landscape 63 4.3.2.3 Architectural and Design Elegance 63 4.3.2.4 Jewelry
and Fashion Innovation 63 4.3.2.5 Educational Enrichment and Research 63
4.3.3 Binder Jetting 64 4.3.3.1 Redefining Metal Fabrication with Binder
Jetting Technology 64 4.3.3.2 Ceramic Applications and Engineering
Advancements 64 4.3.3.3 Transforming Customization and Product Design 64
4.3.3.4 Architectural and Artistic Exploration 65 4.3.3.5 Promoting
Sustainable Practices and Material Efficiency 65 4.3.4 Power Bed Fusion 65
4.3.4.1 Empowering Aerospace Innovation with Powder Bed Fusion 65 4.3.4.2
Medical Advancements Through PBF Techniques 65 4.3.4.3 High-Performance
Components in Automotive Engineering 66 4.3.4.4 Unlocking Design
Possibilities with Customization 66 4.3.5 Selective Laser Sintering 66
4.3.5.1 Elevating Manufacturing Precision with Selective Laser Sintering
(SLS) 66 4.3.5.2 Aerospace Innovation Through SLS 67 4.3.5.3 Medical
Devices and Prosthetics 67 4.3.5.4 Automotive Engineering and Rapid
Prototyping 67 4.3.5.5 Tooling and Manufacturing Efficiency 67 4.3.6 Direct
Energy Deposition (DED) 67 4.3.6.1 Empowering Large-Scale Manufacturing
with DED 67 4.3.6.2 Aerospace Advancements with DED 68 4.3.6.3 Oil and Gas
Infrastructure Enhancement 68 4.3.6.4 Tooling and Mold Manufacturing 68
4.3.6.5 Repair and Refurbishment 68 4.4 Application of 3D Printing:
Industrial Sector 69 4.4.1 Automotive Innovation Driven by 3D Printing 69
4.4.2 Aerospace Advancements Through 3D Printing 70 4.4.3 3D Printing in
Turbomachinery 71 4.4.4 Food Industry 72 4.4.5 Medical Breakthroughs with
3D Printing 73 4.4.6 Electronic Industry 74 4.4.7 Construction Industry:
Architecture and Building 75 4.4.8 Fashion Industry 76 4.5 Summary 78
References 78 5 Redefining Fabrication: Emerging Challenges in the
Evaluation of 3D-printed Parts 81 Xiaofan Luo, Mengxue Yan, Kaddour Raissi,
and Amrid Mammeri 5.1 Introduction: Scope and Definition 81 5.2 Historical
Review 82 5.3 Technological Challenges in ME-3DP 85 5.3.1 The Symptoms of
ME-3DP 86 5.3.1.1 Poor Process Reliability 86 5.3.1.2 Low Printing Speed 88
5.3.1.3 Part Distortion 89 5.3.1.4 Unpredictable Properties 90 5.3.2 The
Root Cause 91 5.3.2.1 Process Complexity: ME-3DP vs Injection Molding 91
5.3.2.2 The Extrusion Process 92 5.3.2.3 Anisotropy and the Poor Strength
in Z-direction of 3D-printed Parts 93 5.3.2.4 The Lower Building Rate of
ME-3DP 96 5.4 Future Perspective: Potential Roadmaps Toward Solving the Key
Challenges of ME-3DP 96 5.5 High Building Rate ME-3DP Process 98 5.6 Big
Area Additive Manufacturing (BAAM) System 98 5.7 Faster FFF 3D Printing
System 99 5.8 Improvement of Interfacial Bonding and Strength in
Z-direction 100 5.9 Conclusions 101 References 102 6 Importance of
Multi-objective Evaluation in 3D Printing 105 Kasin Ransikarbum and Namhun
Kim 6.1 Introduction 105 6.2 The Current State of Multi-Objective
Evaluation of 3DP 107 6.2.1 Part Orientation Problem in 3DP 108 6.2.2
Printer Selection Problem in 3DP 109 6.2.3 Part-to-Printer Assignment
Problem in 3DP 110 6.3 Decision Support System for 3DP Under
Multi-Objective Evaluation 111 6.3.1 Part Orientation 111 6.3.1.1 Data
Envelopment Analysis (DEA) 114 6.3.1.2 Analytic Hierarchy Process (AHP) 114
6.3.1.3 Linear Normalization (LN) 115 6.3.1.4 Illustrative Case Study for
Part Orientation 115 6.3.2 Printer Selection 120 6.3.2.1 Fuzzy Analytic
Hierarchy Process (FAHP) 120 6.3.2.2 Technique for Order of Preference by
Similarity to Ideal Solution (topsis) 121 6.3.2.3 Illustrative Case Study
for Printer Selection 122 6.3.3 Part-to-Printer Scheduling 122 6.3.3.1
Multi-objective Optimization 123 6.3.3.2 Illustrative Case Study for
Part-to-Printer Assignment 124 6.4 Discussion and Managerial Implication
125 6.5 Conclusion 126 References 127 7 Role of Controlling Factors in 3D
Printing 129 Shahriar Hashemipour and Amrid Mammeri 7.1 Introduction 129
7.2 FFF Process Parameters 130 7.3 Controlling Factors as a Source of Heat
Transfer 133 7.4 Impact of Controlling Factors on Mechanical Features of
3D-Printed Parts 135 7.5 Role of Controlling Factors on Interfacial Bonding
of 3D-Printed Parts 136 7.6 Role of Controlling Factors on Optimization of
3D-Printed Parts 137 7.7 Summary and Outlook 141 References 142 8
Physico-chemical Features of 3D-printed Parts 145 Wuzhen Huang and Yi Xiong
8.1 Introduction 145 8.2 Fused Filament Fabrication 146 8.3 Different Types
of Applicable Materials in FFF 147 8.3.1 Classification of Polymers 149
8.3.1.1 Amorphous Polymers 149 8.3.1.2 Semi-crystalline Polymers 152 8.3.2
Classification of Polymer Composites 155 8.3.2.1 Structural Polymer Matrix
Composites 156 8.3.2.2 Functional Polymer Matrix Composites 157 8.4
Physicochemical Characterization of 3D-printed Parts 157 8.4.1 Physical
Properties of 3D-printed Parts 158 8.4.1.1 Mechanical Properties 158
8.4.1.2 Thermal Properties 161 8.4.1.3 Electrical and Optical Properties
164 8.4.2 Chemical Properties 164 8.4.2.1 Molecular Weight 164 8.4.2.2
Chemical Permeability 165 8.4.2.3 Chemical Resistance 165 8.4.2.4 Chemical
Degradability 165 8.5 Effect of Phase Change on the Quality of 3D-Printed
Parts 166 8.5.1 The Factors that Affect the Crystallization of 3D-Printed
Parts 166 8.5.2 The Effect of Crystallinity on Physical Properties 166
8.5.2.1 Optical Properties 166 8.5.2.2 Thermal Properties 167 8.5.2.3 Water
Absorption and Wear Resistance 167 8.5.2.4 Mechanical Properties 168
References 168 9 3D Printing Optimization: Importance of Rheological
Evaluation in 3D Printing 171 Abbas Tcharkhtchi, Reza Eslami Farsani, and
Hamid Reza Vanaei 9.1 Introduction 171 9.2 Fundamentals of Viscosity 172
9.3 Resistance of Materials to Flow 173 9.3.1 Modulus 173 9.3.2 Viscosity
174 9.3.3 Relaxation Time 175 9.4 Materials with Different Rheological
Behaviors 176 9.4.1 Elastic Materials 177 9.4.2 Viscous Materials 177 9.4.3
Plastic Materials 178 9.5 Different Rheological Behaviors at Constant
Pressure and Temperature 181 9.5.1 Newtonian Liquids 181 9.5.2
Time-independent Non-Newtonian Liquids 181 9.6 Viscoelastic Behavior 182
9.7 3D Printing of Thermoplastic Polymers 184 9.7.1 Temperature Evolution
as an Indicator for Viscosity Measurement 185 9.7.2 Interphase Formation
Between the Filaments During 3D Printing Process 188 9.8 Rheology and
Optimization in 3D Printing Process 189 9.9 Summary 190 References 191 10
Investigating the Mechanical Performance of 3D-printed Parts 193 Hamid Reza
Javadinejad, Abdoulmajid Eslami, and Hamid Reza Vanaei 10.1 Introduction
193 10.2 Mechanical Properties of 3D-Printed Parts 194 10.2.1 Modula of
3D-Printed Parts 194 10.2.2 Tensile Properties of 3D-Printed Parts 194
10.2.3 Compressive Properties of 3D Printed Parts 196 10.2.4 Flexural
Properties of 3D Printed Parts 197 10.2.5 Impact Strength Properties of 3D
Printed Parts 199 10.2.6 Shear Properties of 3D Printed Parts 201 10.2.7
Hardness Properties of 3D Printed Parts 202 10.2.8 Fatigue Properties of 3D
Printed Parts 203 10.2.9 Creep Properties of 3D Printed Parts 204 10.3
Conclusion 205 References 205 11 Thermal Modeling of Material Extrusion
Additive Manufacturing (MEX) 211 José A. Covas, Sidonie F. Costa, and
Fernando M. Duarte 11.1 Introduction 211 11.2 Thermal Modeling of MEX 212
11.3 A Thermal Model for Heat Transfer and Bonding 218 11.4 Printing a
Tensile Test Specimen 225 11.5 Conclusions 228 References 229 12 In-Process
Temperature Monitoring in 3D Printing 233 Saeedeh Vanaei and Michael
Deligant 12.1 Introduction 233 12.2 Heat Transfer in 3D Printing 234 12.3
The Impact of Cyclic Temperature Profile in 3D-Printing Process 237 12.3.1
In-Process Monitoring of Temperature Variation in 3D-Printing Process 240
12.3.1.1 Global Monitoring - Temperature Recording on the External Surface
of Deposited Layers 241 12.3.1.2 Local Monitoring - Temperature Recording
at the Interfaces of Adjacent Layers 243 12.4 Advantages and Disadvantages
of Global-Local In-Process Monitoring 247 12.5 Summary and Outlook 247
References 248 13 Optimizing the Controlling Factors and Characteristics of
3D-printed Parts 253 Anouar El Magri and Sébastien Vaudreuil 13.1
Introduction 253 13.2 Controlling Factors of FFF Process 254 13.3 Overview
of Optimization 256 13.3.1 What Is "Optimization of 3D-Printing
Parameters"? 256 13.3.2 Response Surface Methodology (RSM) 257 13.3.3
Equation of Regression and ANOVA 258 13.3.4 Main Effect Diagram and Pareto
Chart 259 13.3.5 Contour Plots, 3D Surface Plots, and Optimization Diagram
261 13.4 Advantages and Disadvantages of the Optimization 262 13.5
Optimization in 3D-Printing Perspective 264 13.6 Optimization of
3D-Printing FFF Controlling Factors 264 13.6.1 Nozzle Temperature 264
13.6.2 Layer Thickness 266 13.6.3 Printing Speed 267 13.6.4 Infill Density
268 References 269 14 Machine Learning in 3D Printing 273 Mohammadali
Rastak, Saeedeh Vanaei, Shohreh Vanaei, and Mohammad Moezzibadi 14.1
Introduction 273 14.2 Literature Review 274 14.3 3D Printing: Applications
and Obstacles 278 14.4 AI/ML and 3D Printing 279 14.4.1 Role of AI/ML in 3D
Printing 279 14.4.2 ML Algorithms Review 282 14.4.3 Application of AI/ML in
3D Printing: A Roadmap from Defect Detection to Optimization Purposes 284
14.4.3.1 Defect Detection 284 14.4.3.2 Processing Parameter Optimization
286 14.4.3.3 Geometric Control Using Deep Learning 287 14.4.3.4 Cost
Estimation 288 References 290 Index 295
Field 1 Hamid Reza Vanaei, Sofiane Khelladi, and Abbas Tcharkhtchi 1.1
Introduction 1 1.2 Unveiling the Foundations: Grasping the Essential
Features of 3D Printing 2 1.2.1 Historical Review 2 1.2.2 Potential of 3D
Printing from Lab to Industry 5 1.2.3 Challenges and Potential Roadmap
Toward Solving them in 3D Printing 6 1.2.3.1 High Building Rate 3D Printing
Process 9 1.2.3.2 Big Area Additive Manufacturing (BAAM) System 9 1.2.3.3
Faster FFF 3D Printing System 10 1.2.3.4 Improvement of Interfacial Bonding
and Strength in Z-Direction 11 1.2.4 Role of Controlling Factors in 3D
Printing 12 1.3 Multiphysics Behavior in 3D Printing Process 13 1.3.1
Physicochemical and Mechanical Phenomena of 3D-printed Parts 13 1.3.2
Thermal Features of 3D-printed Parts 14 1.3.3 Rheological Evaluations in 3D
Printing 15 1.3.3.1 Mastering the Flow: Essential Fundamentals of Rheology
15 1.3.3.2 Optimizing with Rheological Insights 16 1.3.4 In-process
Temperature Monitoring in 3D Printing 17 1.4 3D Printing Perfection:
Unveiling the Power of Optimization 18 1.4.1 Importance of Multiphysics
Evaluation in 3D Printing 18 1.4.2 Optimizing the Controlling Factors and
Characteristics of 3D-printed Parts 20 1.4.3 Role of Machine Learning in 3D
Printing 21 1.5 Future Outlook 22 1.5.1 Emerging Horizons in
Multidisciplinary 3D Printing 22 1.5.2 Building Life with Precision 22
1.5.3 Architectural Revolution: Design and Construction Reimagined 23 1.5.4
Sustainable Manufacturing: A Green Revolution 23 1.6 Summary and Outlooks:
Pioneering a Multidisciplinary Renaissance 23 References 24 2 Potential of
3D Printing from Lab to Industry 25 Zohreh Mousavi Nejad, Nicholas J.
Dunne, and Tanya J. Levingstone 2.1 Introduction 25 2.2 Architecture and
Construction Industry 26 2.3 Healthcare and Medical Industry 28 2.3.1
Dental and Craniomaxillofacial 29 2.3.2 Medical Devices 30 2.3.3 Drug
Delivery and Pharmaceutical 31 2.3.4 Tissue Engineering 32 2.3.5
Personalized Treatment 35 2.4 Textile and Fashion Industry 35 2.5 Food
Industry 37 2.6 Aerospace Industry 39 2.7 Conclusions and Future
Perspectives 40 References 40 3 Applicable Materials and Techniques in 3D
Printing 43 Saeedeh Vanaei and Mohammad Elahinia 3.1 Introduction 43 3.2
Materials in 3D Printing 45 3.2.1 Metals 45 3.2.1.1 Aluminum Alloys 45
3.2.1.2 Stainless Steel 45 3.2.1.3 Titanium Alloys 46 3.2.1.4 Nickel-based
Shape Memory Alloys 46 3.2.1.5 Cobalt Chrome Alloys 46 3.2.2 Polymers 47
3.2.2.1 Polylactide 47 3.2.2.2 Acrylonitrile Butadiene Styrene 47 3.2.2.3
Polyamide 47 3.2.2.4 Polycarbonate 48 3.2.3 Ceramics 48 3.2.4 Composites 48
3.2.4.1 Fiber Reinforced Composites 49 3.2.4.2 Particle Reinforced
Composites 49 3.3 Techniques in 3D Printing 49 3.3.1 Fused Deposition
Modeling 52 3.3.2 Powder Bed Fusion 52 3.3.3 Direct Energy Deposition 52
3.3.4 Binder Jetting 53 3.3.5 Material Jetting 53 3.3.6 Sheet Lamination 54
3.3.7 Vat Photopolymerization 54 3.4 Summary and Outlook 54 References 55 4
Diverse Application of 3D Printing Process 59 Shohreh Vanaei and Nader
Zirak 4.1 Introduction 59 4.2 3D Printing: Transforming Manufacturing
Landscapes 60 4.3 Application of 3D Printing: Different Manufacturing
Technology 61 4.3.1 Fused Deposition Modeling 61 4.3.1.1 Revolutionizing
Prototyping with Fused Deposition Modeling (fdm) 61 4.3.1.2 Functional
End-Use Parts in Manufacturing 61 4.3.1.3 Medical Advancements Through FDM
61 4.3.1.4 Education and Conceptual Learning 62 4.3.1.5 Sustainability and
Customization 62 4.3.2 Stereolithography 62 4.3.2.1 Precision Prototyping
and Beyond with Stereolithography (sla) 62 4.3.2.2 Tailoring the Medical
Landscape 63 4.3.2.3 Architectural and Design Elegance 63 4.3.2.4 Jewelry
and Fashion Innovation 63 4.3.2.5 Educational Enrichment and Research 63
4.3.3 Binder Jetting 64 4.3.3.1 Redefining Metal Fabrication with Binder
Jetting Technology 64 4.3.3.2 Ceramic Applications and Engineering
Advancements 64 4.3.3.3 Transforming Customization and Product Design 64
4.3.3.4 Architectural and Artistic Exploration 65 4.3.3.5 Promoting
Sustainable Practices and Material Efficiency 65 4.3.4 Power Bed Fusion 65
4.3.4.1 Empowering Aerospace Innovation with Powder Bed Fusion 65 4.3.4.2
Medical Advancements Through PBF Techniques 65 4.3.4.3 High-Performance
Components in Automotive Engineering 66 4.3.4.4 Unlocking Design
Possibilities with Customization 66 4.3.5 Selective Laser Sintering 66
4.3.5.1 Elevating Manufacturing Precision with Selective Laser Sintering
(SLS) 66 4.3.5.2 Aerospace Innovation Through SLS 67 4.3.5.3 Medical
Devices and Prosthetics 67 4.3.5.4 Automotive Engineering and Rapid
Prototyping 67 4.3.5.5 Tooling and Manufacturing Efficiency 67 4.3.6 Direct
Energy Deposition (DED) 67 4.3.6.1 Empowering Large-Scale Manufacturing
with DED 67 4.3.6.2 Aerospace Advancements with DED 68 4.3.6.3 Oil and Gas
Infrastructure Enhancement 68 4.3.6.4 Tooling and Mold Manufacturing 68
4.3.6.5 Repair and Refurbishment 68 4.4 Application of 3D Printing:
Industrial Sector 69 4.4.1 Automotive Innovation Driven by 3D Printing 69
4.4.2 Aerospace Advancements Through 3D Printing 70 4.4.3 3D Printing in
Turbomachinery 71 4.4.4 Food Industry 72 4.4.5 Medical Breakthroughs with
3D Printing 73 4.4.6 Electronic Industry 74 4.4.7 Construction Industry:
Architecture and Building 75 4.4.8 Fashion Industry 76 4.5 Summary 78
References 78 5 Redefining Fabrication: Emerging Challenges in the
Evaluation of 3D-printed Parts 81 Xiaofan Luo, Mengxue Yan, Kaddour Raissi,
and Amrid Mammeri 5.1 Introduction: Scope and Definition 81 5.2 Historical
Review 82 5.3 Technological Challenges in ME-3DP 85 5.3.1 The Symptoms of
ME-3DP 86 5.3.1.1 Poor Process Reliability 86 5.3.1.2 Low Printing Speed 88
5.3.1.3 Part Distortion 89 5.3.1.4 Unpredictable Properties 90 5.3.2 The
Root Cause 91 5.3.2.1 Process Complexity: ME-3DP vs Injection Molding 91
5.3.2.2 The Extrusion Process 92 5.3.2.3 Anisotropy and the Poor Strength
in Z-direction of 3D-printed Parts 93 5.3.2.4 The Lower Building Rate of
ME-3DP 96 5.4 Future Perspective: Potential Roadmaps Toward Solving the Key
Challenges of ME-3DP 96 5.5 High Building Rate ME-3DP Process 98 5.6 Big
Area Additive Manufacturing (BAAM) System 98 5.7 Faster FFF 3D Printing
System 99 5.8 Improvement of Interfacial Bonding and Strength in
Z-direction 100 5.9 Conclusions 101 References 102 6 Importance of
Multi-objective Evaluation in 3D Printing 105 Kasin Ransikarbum and Namhun
Kim 6.1 Introduction 105 6.2 The Current State of Multi-Objective
Evaluation of 3DP 107 6.2.1 Part Orientation Problem in 3DP 108 6.2.2
Printer Selection Problem in 3DP 109 6.2.3 Part-to-Printer Assignment
Problem in 3DP 110 6.3 Decision Support System for 3DP Under
Multi-Objective Evaluation 111 6.3.1 Part Orientation 111 6.3.1.1 Data
Envelopment Analysis (DEA) 114 6.3.1.2 Analytic Hierarchy Process (AHP) 114
6.3.1.3 Linear Normalization (LN) 115 6.3.1.4 Illustrative Case Study for
Part Orientation 115 6.3.2 Printer Selection 120 6.3.2.1 Fuzzy Analytic
Hierarchy Process (FAHP) 120 6.3.2.2 Technique for Order of Preference by
Similarity to Ideal Solution (topsis) 121 6.3.2.3 Illustrative Case Study
for Printer Selection 122 6.3.3 Part-to-Printer Scheduling 122 6.3.3.1
Multi-objective Optimization 123 6.3.3.2 Illustrative Case Study for
Part-to-Printer Assignment 124 6.4 Discussion and Managerial Implication
125 6.5 Conclusion 126 References 127 7 Role of Controlling Factors in 3D
Printing 129 Shahriar Hashemipour and Amrid Mammeri 7.1 Introduction 129
7.2 FFF Process Parameters 130 7.3 Controlling Factors as a Source of Heat
Transfer 133 7.4 Impact of Controlling Factors on Mechanical Features of
3D-Printed Parts 135 7.5 Role of Controlling Factors on Interfacial Bonding
of 3D-Printed Parts 136 7.6 Role of Controlling Factors on Optimization of
3D-Printed Parts 137 7.7 Summary and Outlook 141 References 142 8
Physico-chemical Features of 3D-printed Parts 145 Wuzhen Huang and Yi Xiong
8.1 Introduction 145 8.2 Fused Filament Fabrication 146 8.3 Different Types
of Applicable Materials in FFF 147 8.3.1 Classification of Polymers 149
8.3.1.1 Amorphous Polymers 149 8.3.1.2 Semi-crystalline Polymers 152 8.3.2
Classification of Polymer Composites 155 8.3.2.1 Structural Polymer Matrix
Composites 156 8.3.2.2 Functional Polymer Matrix Composites 157 8.4
Physicochemical Characterization of 3D-printed Parts 157 8.4.1 Physical
Properties of 3D-printed Parts 158 8.4.1.1 Mechanical Properties 158
8.4.1.2 Thermal Properties 161 8.4.1.3 Electrical and Optical Properties
164 8.4.2 Chemical Properties 164 8.4.2.1 Molecular Weight 164 8.4.2.2
Chemical Permeability 165 8.4.2.3 Chemical Resistance 165 8.4.2.4 Chemical
Degradability 165 8.5 Effect of Phase Change on the Quality of 3D-Printed
Parts 166 8.5.1 The Factors that Affect the Crystallization of 3D-Printed
Parts 166 8.5.2 The Effect of Crystallinity on Physical Properties 166
8.5.2.1 Optical Properties 166 8.5.2.2 Thermal Properties 167 8.5.2.3 Water
Absorption and Wear Resistance 167 8.5.2.4 Mechanical Properties 168
References 168 9 3D Printing Optimization: Importance of Rheological
Evaluation in 3D Printing 171 Abbas Tcharkhtchi, Reza Eslami Farsani, and
Hamid Reza Vanaei 9.1 Introduction 171 9.2 Fundamentals of Viscosity 172
9.3 Resistance of Materials to Flow 173 9.3.1 Modulus 173 9.3.2 Viscosity
174 9.3.3 Relaxation Time 175 9.4 Materials with Different Rheological
Behaviors 176 9.4.1 Elastic Materials 177 9.4.2 Viscous Materials 177 9.4.3
Plastic Materials 178 9.5 Different Rheological Behaviors at Constant
Pressure and Temperature 181 9.5.1 Newtonian Liquids 181 9.5.2
Time-independent Non-Newtonian Liquids 181 9.6 Viscoelastic Behavior 182
9.7 3D Printing of Thermoplastic Polymers 184 9.7.1 Temperature Evolution
as an Indicator for Viscosity Measurement 185 9.7.2 Interphase Formation
Between the Filaments During 3D Printing Process 188 9.8 Rheology and
Optimization in 3D Printing Process 189 9.9 Summary 190 References 191 10
Investigating the Mechanical Performance of 3D-printed Parts 193 Hamid Reza
Javadinejad, Abdoulmajid Eslami, and Hamid Reza Vanaei 10.1 Introduction
193 10.2 Mechanical Properties of 3D-Printed Parts 194 10.2.1 Modula of
3D-Printed Parts 194 10.2.2 Tensile Properties of 3D-Printed Parts 194
10.2.3 Compressive Properties of 3D Printed Parts 196 10.2.4 Flexural
Properties of 3D Printed Parts 197 10.2.5 Impact Strength Properties of 3D
Printed Parts 199 10.2.6 Shear Properties of 3D Printed Parts 201 10.2.7
Hardness Properties of 3D Printed Parts 202 10.2.8 Fatigue Properties of 3D
Printed Parts 203 10.2.9 Creep Properties of 3D Printed Parts 204 10.3
Conclusion 205 References 205 11 Thermal Modeling of Material Extrusion
Additive Manufacturing (MEX) 211 José A. Covas, Sidonie F. Costa, and
Fernando M. Duarte 11.1 Introduction 211 11.2 Thermal Modeling of MEX 212
11.3 A Thermal Model for Heat Transfer and Bonding 218 11.4 Printing a
Tensile Test Specimen 225 11.5 Conclusions 228 References 229 12 In-Process
Temperature Monitoring in 3D Printing 233 Saeedeh Vanaei and Michael
Deligant 12.1 Introduction 233 12.2 Heat Transfer in 3D Printing 234 12.3
The Impact of Cyclic Temperature Profile in 3D-Printing Process 237 12.3.1
In-Process Monitoring of Temperature Variation in 3D-Printing Process 240
12.3.1.1 Global Monitoring - Temperature Recording on the External Surface
of Deposited Layers 241 12.3.1.2 Local Monitoring - Temperature Recording
at the Interfaces of Adjacent Layers 243 12.4 Advantages and Disadvantages
of Global-Local In-Process Monitoring 247 12.5 Summary and Outlook 247
References 248 13 Optimizing the Controlling Factors and Characteristics of
3D-printed Parts 253 Anouar El Magri and Sébastien Vaudreuil 13.1
Introduction 253 13.2 Controlling Factors of FFF Process 254 13.3 Overview
of Optimization 256 13.3.1 What Is "Optimization of 3D-Printing
Parameters"? 256 13.3.2 Response Surface Methodology (RSM) 257 13.3.3
Equation of Regression and ANOVA 258 13.3.4 Main Effect Diagram and Pareto
Chart 259 13.3.5 Contour Plots, 3D Surface Plots, and Optimization Diagram
261 13.4 Advantages and Disadvantages of the Optimization 262 13.5
Optimization in 3D-Printing Perspective 264 13.6 Optimization of
3D-Printing FFF Controlling Factors 264 13.6.1 Nozzle Temperature 264
13.6.2 Layer Thickness 266 13.6.3 Printing Speed 267 13.6.4 Infill Density
268 References 269 14 Machine Learning in 3D Printing 273 Mohammadali
Rastak, Saeedeh Vanaei, Shohreh Vanaei, and Mohammad Moezzibadi 14.1
Introduction 273 14.2 Literature Review 274 14.3 3D Printing: Applications
and Obstacles 278 14.4 AI/ML and 3D Printing 279 14.4.1 Role of AI/ML in 3D
Printing 279 14.4.2 ML Algorithms Review 282 14.4.3 Application of AI/ML in
3D Printing: A Roadmap from Defect Detection to Optimization Purposes 284
14.4.3.1 Defect Detection 284 14.4.3.2 Processing Parameter Optimization
286 14.4.3.3 Geometric Control Using Deep Learning 287 14.4.3.4 Cost
Estimation 288 References 290 Index 295