Optimization of 67% Powder Loading Co-30Cr-6Mo µMIM Part by Taguchi Method

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Azizah Wahi ◽  
Norhamidi Muhamad ◽  
Hafizawati Zakaria
Keyword(s):  
Taguchi Method ◽  
Injection Moulding ◽  
Injection Pressure ◽  
Palm Stearin ◽  
Mold Temperature ◽  
Powder Injection ◽  
Injection Time ◽  
Powder Injection Moulding ◽  
Micro Parts ◽  
Injection Temperature

This research studies the effect of injection moulding parameters on the density of green body of Cobalt-30Chromium-6Molybdenum (Co-30Cr-6Mo) for powder injection moulding (PIM) feedstock. In this paper 20 micron Co-Cr-Mo powder was mixed with a palm stearin and polyethylene binder system. L18 orthogonal array by Taguchi Method was used to optimize and predict the future performance. Several injection parameters were optimized such as injection temperature, holding pressure, injection temperature, and mould temperature and injection time. The result shows that the optimum combination of these parameters will produce higher density micro parts. The optimum parameters for 67% powder loading of 20µm Co-30Cr-6Mo powder is 180oC injection temperature, while injection pressure, mold temperature, packing time and injection time are 10 bar, 100oC, 5 s and 7 s respectively.

Optimization of Micro Metal Injection Molding SS 316L for the Highest Green Strength by Using Taguchi Method

2011 ◽  
Vol 264-265 ◽  
pp. 135-140 ◽  
Author(s):  
Mohd Halim Irwan Ibrahim ◽  
Norhamidi Muhamad ◽  
Abu Bakar Sulong ◽  
Khairur Rijal Jamaludin ◽  
Nor Hafiez Mohamad Nor ◽  
...  
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Injection Pressure ◽  
Rheological Characteristic ◽  
Mold Temperature ◽  
Metal Injection Molding ◽  
Small Scale ◽  
Injection Time ◽  
Green Strength ◽  
Injection Temperature

Micro metal injection molding which is a new develop technology has attract most researcher where it becomes among the promising method in powder metallurgy research to produce small-scale intricate part at an effective process and competitive cost for mass production. Due to highly stringent characteristics of micro MIM feedstock,the study has been emphasized in investigating the optimization of highest green strength which plays an important characteristic in determining the successful of micro MIM. Stainless steel SS 316L with D50 = 5.96μm was used with composite binder, which consists of PEG, PMMA and Stearic Acid. From rheological characteristic and highly significant parameter through screening experiment, feedstock with 61.5% with several injection parameters were optimized such as injection pressure(A), injection temperature(B), mold temperature(C), injection time(D) and holding time(E). Besides that, interaction effects between injection pressure, injection temperature and mold temperature were also considered to optimize in the Taguchi’s orthogonal array. Analysis of variance (ANOVA) in terms of signal-to-noise ratio (S/N-larger is better) for green strength was also presented in this paper. Result shows that interaction between injection temperature and mold temperature(BxC) give highest significant factor followed by interaction between injection pressure and injection temperature(AxB). Single factor that also contributes to significant optimization are mold temperature(C), injection time(D) and injection pressure(A). This study shows that Taguchi method would be among the best method to solve the problem with minimum number of trials.

Parameter Optimization towards Highest Micro MIM Density by Using Taguchi Method

2010 ◽  
Vol 443 ◽  
pp. 705-710 ◽  
Author(s):  
Mohd Halim Irwan Ibrahim ◽  
Norhamidi Muhamad ◽  
Abu Bakar Sulong ◽  
Khairur Rijal Jamaludin ◽  
Nor Hafiez Mohamad Nor ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Signal To Noise Ratio ◽  
Injection Pressure ◽  
Mold Temperature ◽  
Metal Injection Molding ◽  
Small Scale ◽  
Injection Time ◽  
Green Strength ◽  
Minimum Number ◽  
Injection Temperature

Nowadays, micro metal injection molding has become among the promising method in powder metallurgy research to produce small-scale intricate part at an effective process and competitive cost for mass production. This paper investigated the optimization of highest green strength which plays an important characteristic in determining the successful of micro MIM. In this paper, stainless steel SS 316L with D50 = 5.96µm was used with composite binder, which consists of PEG (Polyethelena Glycol), PMMA (Polymethyl Methacrilate) and SA (Stearic Acid). Feedstock with 61.5% with several injection parameters were optimized which highly significant through screening experiment such as injection pressure(A), injection temperature(B), mold temperature(C), injection time(D) and holding time(E). Besides that, interaction effects between injection pressure, injection temperature and mold temperature were also considered to optimize in the Taguchi’s orthogonal array. Analysis of variance (ANOVA) in terms of signal-to-noise ratio (S/N-larger is better) for green density was also presented in this paper. Result shows that interaction between injection temperature and mold temperature(BxC) give highest significant factor followed by interaction between injection pressure and mold temperature(AxC). Single factor that also contributes to significant optimization are mold temperature(C) and injection time(D). This study shows that Taguchi method would be among the best method to solve the problem with minimum number of trials.

Optimization of Injection Moulding Process Parameters for Manufacturing Plastic Components (PBT) Using Taguchi Method (TM)

2019 ◽  
Vol 969 ◽  
pp. 775-780
Author(s):  
Rajendra Khavekar ◽  
Hari Vasudevan ◽  
Gosar Vimal
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Injection Moulding ◽  
Injection Pressure ◽  
Injection Time ◽  
Time Zone ◽  
Polybutylene Terephthalate ◽  
Influence Of Process Parameters ◽  
Pressure Injection ◽  
Injection Moulding Process

In this Paper, the application of Taguchi Method (TM) on the process parameters of Injection Moulding of Polybutylene Terephthalate (PBT) is presented. The influence of process parameters, such as Injection Pressure, Suckback Pressure, Injection Time, Cooling Time, Zone 1 Temperature & Zone 2 Temperature (Barrel Temperatures) on Dark Spots and Short Shots (defects) were investigated using the Orthogonal Array L16 of Taguchi Method for 6 factors at 2 levels each with the response being percent defectives. It was found that Injection Pressure, Injection Time & Zone 1 Temperature had a major effect on the response. After the application of Taguchi Method, the rejection rate dropped down to 5.84% from 11.33%, which is a 48.45% reduction.

Powder injection moulding of metallic and ceramic micro parts

2011 ◽  
Vol 17 (2) ◽  
pp. 251-263 ◽  
Author(s):  
V. Piotter ◽  
W. Bauer ◽  
R. Knitter ◽  
M. Mueller ◽  
T. Mueller ◽  
...  
Keyword(s):  
Injection Moulding ◽  
Powder Injection ◽  
Powder Injection Moulding ◽  
Micro Parts

Influence of palm stearin on powder injection moulding of stainless steel 316L

2011 ◽  
Vol 15 (sup2) ◽  
pp. s30-s33
Author(s):  
M Jabir ◽  
M Azmirruddin ◽  
R Ibrahim ◽  
M Muhamad ◽  
A Shaaban ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Injection Moulding ◽  
Palm Stearin ◽  
Powder Injection ◽  
Stainless Steel 316L ◽  
Powder Injection Moulding

Multiple Performance Optimization for the Best Injection Molding Process of Ti-6Al-4V Green Compact

2010 ◽  
Vol 44-47 ◽  
pp. 2707-2711 ◽  
Author(s):  
Norhamidi Muhamad ◽  
Nor Hafiez Mohamad Nor ◽  
Sufizar Ahmad ◽  
Mohd Halim Irwan Ibrahim ◽  
Mohd Ruzi Harun
Keyword(s):  
Injection Molding ◽  
Confidence Level ◽  
Performance Optimization ◽  
Injection Pressure ◽  
Mold Temperature ◽  
Powder Injection ◽  
Injection Molding Process ◽  
Pressure Injection ◽  
Injection Temperature ◽  
Grey Relational

The L27 (313) Taguchi orthogonal array is used in the experiment while the injection pressure, injection temperature, powder loading, mold temperature, holding pressure and injection speed are optimized in this study. A grey relational grade (GRG) obtained from the grey relational analysis (GRA) is used to solve the titanium alloy powder injection molding operations with the multiple performance characteristics such as strength and density. From the analysis of variance (ANOVA), the injection temperature has the highest contribution at confidence level 90% to the quality of green part followed by powder loading. The others factor such as mold temperature, holding pressure, injection pressure and injection rate and all the interactions are not significant even though it give contribution during injection molding but the confidence level are less than 90%.

Parameter Optimization of Injection Molding Ti-6Al-4V Powder and Palm Stearin Binder System for Highest Green Density Using Taguchi Method

2010 ◽  
Vol 443 ◽  
pp. 69-74 ◽  
Author(s):  
Nor Hafiez Mohamad Nor ◽  
Norhamidi Muhamad ◽  
Sufizar Ahmad ◽  
Mohd Halim Irwan Ibrahim ◽  
Mohd Ruzi Harun ◽  
...  
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Injection Pressure ◽  
Palm Stearin ◽  
Quality Characteristic ◽  
Metal Injection Molding ◽  
Green Density ◽  
Injection Speed ◽  
Pressure Injection ◽  
Injection Temperature

In this paper, the titanium alloy powder of Ti-6Al-4V is mixed with binder 60wt% of palm stearin and 40wt% of polyethylene for metal injection molding (MIM) process. Injection molding parameters has been optimized using Taguchi method of L27 (313) orthogonal array. Highest green density has been identified as the green part quality characteristic or as an output for this study. Parameters optimized are the injection pressure, injection temperature, powder loading, mold temperature, holding pressure and injection speed. Besides those, interaction of the injection pressure, injection temperature and powder loading were studied. The analysis of variance (ANOVA) is employed to determine the significant levels (α) and contributions of the variables to the green density. Results show that the injection pressure has highest significant percentage followed by injection temperature, powder loading and holding pressure.

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