Modelling Techniques to Analyse the Functionality of Metallic Glass Alloys as Biomedical Implants: A Mini-review
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Shubhra Shitole
Abstract
Metallic glass alloysmetallic glass alloys have emerged as a promising class of materials for orthopaedic knee implants due to their unique combination of mechanical properties, including high strength, excellent wear resistance, and biocompatibility. Understanding the mechanical behaviour and performance of metallic glass under physiological stress circumstances is essential for their design and optimization. The modelling methods used to examine the mechanical reaction and long-term functionality of metallic glass biomedical applications are reviewed in this chapter. We explore in depth several modelling techniques, such as finite element analysis, molecular dynamic simulations, statistical modelling, and machine learningmachine learning. The review addresses issues such as stress distribution prediction, wear behaviour, and assessment of fatigue life. Also discussed are the drawbacks and difficulties of modelling these intricate materials. This review intends to promote the development of advanced metallic glass with improved mechanical properties, increased lifespan, and improved patient outcomes by offering a thorough examination of modelling approaches.
Abstract
Metallic glass alloysmetallic glass alloys have emerged as a promising class of materials for orthopaedic knee implants due to their unique combination of mechanical properties, including high strength, excellent wear resistance, and biocompatibility. Understanding the mechanical behaviour and performance of metallic glass under physiological stress circumstances is essential for their design and optimization. The modelling methods used to examine the mechanical reaction and long-term functionality of metallic glass biomedical applications are reviewed in this chapter. We explore in depth several modelling techniques, such as finite element analysis, molecular dynamic simulations, statistical modelling, and machine learningmachine learning. The review addresses issues such as stress distribution prediction, wear behaviour, and assessment of fatigue life. Also discussed are the drawbacks and difficulties of modelling these intricate materials. This review intends to promote the development of advanced metallic glass with improved mechanical properties, increased lifespan, and improved patient outcomes by offering a thorough examination of modelling approaches.
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Acknowledgments
- Contents XI
- Smart Surfaces and Coatings: An Innovative Approach 1
- Emerging Technologies in Cementitious Material Design: Autonomous Healing and Durability Enhancement Mechanisms 33
- A Study on the Strength and Stiffness of Shape Memory Alloy-Reinforced Structural Composites 63
- Modelling Techniques to Analyse the Functionality of Metallic Glass Alloys as Biomedical Implants: A Mini-review 75
- Numerical Modelling of URM Piers of Various Bond Patterns 91
- Sustainability and Durability Synergy: Self-Healing Concrete in Ultra-High-Rise Structures 101
- Experimental Investigations on Metallic Current Collectors and on the Performance of PDMFC 117
- In-Plane Dynamic Crushing Behavior of Hierarchical Honeycomb Sandwich Panel Under Blast Loading: A Finite Element Study 127
- Utilizing the U-Net Image Machine Learning Segmentation Model for Automated Analysis of Grain Sizes in Metallographic Microstructures 141
- Advancements in Banana Fiber-Reinforced Composites: Mechanical Properties, Sustainability, and Scientometric Analysis 151
- Exploring the Applications of Smart Materials in the Medical and Healthcare Sectors 173
- Advancements in 3D Printing of Composite Materials: Challenges and Prospects 193
- Colloidal Formulation and Robocasting of Silicon Nitride Scaffolds with Tailored TPMS Structures 209
- List of Contributors
- Index 233
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Acknowledgments
- Contents XI
- Smart Surfaces and Coatings: An Innovative Approach 1
- Emerging Technologies in Cementitious Material Design: Autonomous Healing and Durability Enhancement Mechanisms 33
- A Study on the Strength and Stiffness of Shape Memory Alloy-Reinforced Structural Composites 63
- Modelling Techniques to Analyse the Functionality of Metallic Glass Alloys as Biomedical Implants: A Mini-review 75
- Numerical Modelling of URM Piers of Various Bond Patterns 91
- Sustainability and Durability Synergy: Self-Healing Concrete in Ultra-High-Rise Structures 101
- Experimental Investigations on Metallic Current Collectors and on the Performance of PDMFC 117
- In-Plane Dynamic Crushing Behavior of Hierarchical Honeycomb Sandwich Panel Under Blast Loading: A Finite Element Study 127
- Utilizing the U-Net Image Machine Learning Segmentation Model for Automated Analysis of Grain Sizes in Metallographic Microstructures 141
- Advancements in Banana Fiber-Reinforced Composites: Mechanical Properties, Sustainability, and Scientometric Analysis 151
- Exploring the Applications of Smart Materials in the Medical and Healthcare Sectors 173
- Advancements in 3D Printing of Composite Materials: Challenges and Prospects 193
- Colloidal Formulation and Robocasting of Silicon Nitride Scaffolds with Tailored TPMS Structures 209
- List of Contributors
- Index 233
