scholarly journals Hybrid Taguchi–Gray Relation Analysis Method for Design of Metal Powder Injection-Molded Artificial Knee Joints with Optimal Powder Concentration and Volume Shrinkage

Polymers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 865 ◽  
Author(s):  
Chao-Ming Lin ◽  
Yu-Tung Hung ◽  
Chung-Ming Tan
Keyword(s):  
Metal Powder ◽  
Critical Role ◽  
Hybrid Approach ◽  
Volume Shrinkage ◽  
Knee Joints ◽  
Powder Injection ◽  
Powder Concentration ◽  
Aesthetic Appearance ◽  
Gray Relation Analysis ◽  
Relation Analysis

Artificial knee joints play a critical role in improving the quality of life of the elderly and those with knee injuries. Such knee joints are fabricated using a composite material consisting of metal alloy particles and polymer resin and are generally produced using the metal powder injection molding (MIM) process. However, if the local powder concentration of the molded product is too low, the mechanical properties and aesthetic appearance of the joint are severely degraded. Similarly, if the product undergoes excessive shrinkage following removal from the mold, the dimensional accuracy will fail to meet the design specifications. Accordingly, the present study applies a hybrid approach based on the Taguchi robust design methodology and gray relation analysis (GRA) theory to determine the optimal MIM processing conditions that simultaneously maximize the powder concentration uniformity while minimizing the volume shrinkage. The feasibility of the proposed approach is demonstrated by means of CAE (Computer Aided Engineering) mold flow simulations. The results show that while the robust Taguchi design method enables the optimal processing parameters that maximize the powder concentration uniformity and minimize the volume shrinkage to be individually determined, the hybrid Taguchi–GRA method enables both quality measures to be optimized simultaneously.

scholarly journals Processing Optimization for Metal Injection Molding of Orthodontic Braces Considering Powder Concentration Distribution of Feedstock

Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2635
Author(s):  
Chao-Ming Lin ◽  
Jhih-Jyun Wu ◽  
Chung-Ming Tan
Keyword(s):  
Injection Molding ◽  
Metal Powder ◽  
Concentration Distribution ◽  
Metal Injection Molding ◽  
Molding Process ◽  
Melt Temperature ◽  
Powder Concentration ◽  
Aesthetic Appearance ◽  
Filling Time ◽  
Sintered Product

Metal injection molding (MIM) utilizes a compound consisting of metal powder particles and a binding agent as the feedstock material. The present study combines MIM mold flow simulations with the Taguchi method to clarify the individual and combined effects of the main MIM process parameters on the metal powder concentration distribution in the final sintered product. The results show that the molding process should be performed using a short filling time, a high melt temperature, a low packing pressure, a low mold temperature, and a small gate size. Given these process settings, the powder concentration uniformity and phase separation effect are significantly improved; giving rise to a better aesthetic appearance of the final sintered product and an enhanced mechanical strength.

Numerical investigation of the microstructure of a clad layer produced via laser cladding with coaxial metal powder injection

2016 ◽  
Vol 80 (4) ◽  
pp. 381-386 ◽  
Author(s):  
M. D. Khomenko ◽  
V. Ya. Panchenko ◽  
V. G. Niziev ◽  
F. Kh. Mirzade ◽  
R. V. Grishaev
Keyword(s):  
Numerical Investigation ◽  
Metal Powder ◽  
Laser Cladding ◽  
Powder Injection ◽  
Clad Layer

Precursor Selection for Sol–Gel Synthesis of Titanium Carbide Nanopowders by a New Cubic Fuzzy Multi-Attribute Group Decision-Making Model

2017 ◽  
Vol 28 (5) ◽  
pp. 699-720 ◽  
Author(s):  
Aliya Fahmi ◽  
Saleem Abdullah ◽  
Fazli Amin ◽  
Asad Ali
Keyword(s):  
Decision Making ◽  
Titanium Carbide ◽  
Group Decision ◽  
Sol Gel ◽  
Topsis Method ◽  
Numerical Application ◽  
Gray Relation Analysis ◽  
Relation Analysis ◽  
Decision Making Model ◽  
Sol Gel Synthesis

Abstract In this paper, we construct an extended version of the TOPSIS method by using cubic information, and provide a numerical application to verify and demonstrate the practicality of the method. A new extension of the gray relation analysis (GRA) method is introduced by using cubic information. We also propose the cubic fuzzy multi-attribute group decision-making model, and the relation between the cubic TOPSIS method and the cubic gray relation analysis (CGRA) method is introduced. Finally, the proposed method is used for selection in sol–gel synthesis of titanium carbide nanopowders. We analyzed the proposed method by using a numerical application to sol–gel synthesis of titanium carbide nanopowders.

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