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Hybrid Taguchi-Gray Relation Analysis Method for Design of Metal Powder Injection-Molded Artificial Knee Joints with
Chao-Ming Lin1, Yu-Tung Hung1, Chung-Ming Tan2
1Department of Mechanical and Energy Engineering, National Chiayi University, Chiayi 60004, Taiwan.
Polymers
|April 3, 2021
Summary
This study optimizes metal powder injection molding (MIM) for artificial knee joints. A hybrid Taguchi-GRA method simultaneously improves powder uniformity and reduces shrinkage for better joint quality.
Area of Science:
- Biomaterials Engineering
- Materials Science
- Manufacturing Processes
Background:
- Artificial knee joints are crucial for elderly and injured populations.
- Current fabrication relies on metal powder injection molding (MIM) of composite materials.
- Suboptimal powder concentration and excessive shrinkage degrade joint performance and accuracy.
Purpose of the Study:
- To determine optimal MIM processing conditions for artificial knee joints.
- To simultaneously maximize powder concentration uniformity and minimize volume shrinkage.
- To enhance mechanical properties and dimensional accuracy of artificial knee joints.
Main Methods:
- Application of a hybrid approach combining Taguchi robust design methodology and Gray Relation Analysis (GRA).
- Utilizing Computer Aided Engineering (CAE) mold flow simulations to validate the approach.
- Simultaneously optimizing two critical quality measures: powder concentration uniformity and volume shrinkage.
Main Results:
- Taguchi design individually optimized parameters for powder concentration and shrinkage.
- The hybrid Taguchi-GRA method successfully optimized both quality measures concurrently.
- CAE simulations confirmed the feasibility and effectiveness of the proposed hybrid approach.
Conclusions:
- The hybrid Taguchi-GRA method provides a robust framework for optimizing MIM processes.
- This approach leads to superior artificial knee joint fabrication with improved uniformity and dimensional stability.
- The study offers a pathway to enhanced quality and reliability in orthopedic implants.
