The Influence of Temperature Dependant Parameters in Plastic 0.0nd Metal Injection Molding using Taguchi Method

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Zaliha Wahid ◽  
Norhamidi Muhamad ◽  
Shahrir Abdullah ◽  
Jaharah A. Ghani
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
State Of The Art ◽  
Rheological Behaviour ◽  
Processing Parameters ◽  
Raw Material ◽  
Engineering Properties ◽  
Metal Injection Molding ◽  
Influence Of Temperature ◽  
Conventional Injection Molding

Injection molding is a promising manufacturing process because of several advantages. Conventional injection molding was dominated by plastic as the raw material, but for better engineering properties feasibility, metal injection molding (MIM) has been given special attention. However, because of different properties and rheology, processing parameters for both processes must be treated accordingly. In this paper, the most influencing process parameter is identified for both processes using the state of the art Taguchi method. Simulation using Moldflow software is conducted with various process settings. From the study, it is proven that due to rheological behaviour, all the input parameters influence the MIM process while only one parameter is dominating during the injection molding of polypropylene.

scholarly journals Effects of Injection Molding Screw Tips on Polymer Mixing

2018 ◽  
Vol 62 (3) ◽  
pp. 241-246 ◽  
Author(s):  
Dániel Török ◽  
József Gábor Kovács
Keyword(s):  
Injection Molding ◽  
Processing Parameters ◽  
Raw Material ◽  
Molding Machine ◽  
Surface Color ◽  
Melt Temperature ◽  
Injection Molding Machine ◽  
Aesthetic Appearance ◽  
Molded Parts ◽  
Injection Molded

In all fields of industry it is important to produce parts with good quality. Injection molded parts usually have to meet strict requirements technically and aesthetically. The aim of the measurements presented in our paper is to investigate the aesthetic appearance, such as surface color homogeneity, of injection molded parts. It depends on several factors, the raw material, the colorants, the injection molding machine and the processing parameters. In this project we investigated the effects of the injection molding machine on surface color homogeneity. We focused on injection molding screw tips and investigated five screw tips with different geometries. We produced flat specimens colored with a masterbatch and investigated color homogeneity. To evaluate the color homogeneity of the specimens, we used digital image analysis software developed by us. After that we measured the plastication rate and the melt temperature of the polymer melt because mixing depends on these factors. Our results showed that the screw tips (dynamic mixers) can improve surface color homogeneity but they cause an increase in melt temperature and a decrease in the plastication rate.

Application of the Grey-Taguchi Method to the Optimization of Metal Injection Molding (MIM) Process

2010 ◽  
Vol 443 ◽  
pp. 63-68 ◽  
Author(s):  
Khairur Rijal Jamaludin ◽  
Norhamidi Muhamad ◽  
Mohd Nizam Ab. Rahman ◽  
Sufizar Ahmad ◽  
Mohd Halim Irwan Ibrahim ◽  
...  
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Mold Temperature ◽  
Parameter Design ◽  
Metal Injection Molding ◽  
Quality Performance ◽  
Surface Appearance ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Grey Taguchi

The Grey-Taguchi method was adopted in this study to optimize the injection molding parameters for the MIM green compacts with multiple quality performance. A Grey relational grade obtained from the Grey relational analysis is used as the quality performance in the Taguchi method. Then, the optimum injection molding parameters are determined using the parameter design proposed by the Taguchi method. The result concluded that the mold temperature (D) is very significant, by the fact that the ANOVA shows its contribution to excellent surface appearance as well as strong and dense green compacts is 38.82%.

Dynamic Response Optimization for Cemented Carbide Injection Molding

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Sri Yulis M. Amin ◽  
Norhamidi Muhamad ◽  
Khairur Rijal Jamaludin
Keyword(s):  
Injection Molding ◽  
Palm Stearin ◽  
Processing Parameters ◽  
Cemented Carbide ◽  
Metal Injection Molding ◽  
Injection Molding Process ◽  
Molding Process ◽  
Response Optimization ◽  
Injection Molded ◽  
Injection Temperature

The need to optimize the injection molding parameters for producing cemented carbide parts via Metal Injection Molding process is crucial to ensure the system’s robustness towards manufacturer and customer’s satisfactions. Defect free product with best density can be produced while reducing time and cost in manufacturing. In this work, the feedstock consisting of WC-Co powders, mixed with palm stearin and polyethylene binder system was injection molded to produce green parts. Several processing variables, namely powder loading, injection temperature, holding pressure and flowrate, were optimized towards the density of the green body, as the response factor. By considering humidity level at morning and evening conditions as the noise factor, the results show the optimum combination of injection molding parameters that produces best green density. The green part exhibited best density by following this optimum processing parameters, A2B3C1D1, that are flowrate at 20 ccm/s, powder loading at 63% vol., injection temperature at 140°C, and holding pressure at 1700 bar.

scholarly journals Experimental Investigation of Comparative Process Capabilities of Metal and Ceramic Injection Molding for Precision Applications

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Aminul Islam ◽  
Nikolaos Giannekas ◽  
David Marhöfer ◽  
Guido Tosello ◽  
Hans Hansen
Keyword(s):  
Experimental Investigation ◽  
Injection Molding ◽  
Comparative Study ◽  
State Of The Art ◽  
Ceramic Materials ◽  
Metal Injection Molding ◽  
Powder Injection ◽  
Ceramic Injection Molding ◽  
Metal Ceramic ◽  
The Right

The purpose of this paper is to make a comparative study on the process capabilities of the two branches of the powder injection molding (PIM) process—metal injection molding (MIM) and ceramic injection molding (CIM), for high-end precision applications. The state-of-the-art literature does not make a clear comparative picture of the process capabilities of MIM and CIM. The current paper systematically characterizes the MIM and CIM processes and presents the process capabilities in terms of part shrinkage, surface replication, tolerance capability, and morphological fidelity. The results and discussion presented in the paper will be useful for thorough understanding of the MIM and CIM processes and to select the right material and process for the right application or even to combine metal and ceramic materials by molding to produce metal–ceramic hybrid components.

Metal injection molding of W-Ni-Fe microcutters

2011 ◽  
Vol 31 (4) ◽  
Author(s):  
Ming-Shyan Huang ◽  
Chin-Feng Chung
Keyword(s):  
Mechanical Properties ◽  
Injection Molding ◽  
Taguchi Method ◽  
Dimensional Stability ◽  
Liquid Phase Sintering ◽  
Metal Injection Molding ◽  
Powder Injection ◽  
Heating Rates ◽  
Optimal Injection ◽  
Micrometer Scale

Abstract This investigation applies metal injection molding (MIM) to fabricate precise microcutters from W-Ni-Fe alloy powder. The hard and brittle W-Ni-Fe alloy is difficult to machine, and MIM must be applied to produce near net-shaped products. MIM involves the injection molding of feedstock by blending metal powder and binders, debinding, and sintering. Liquid-phase sintering is commonly adopted to improve the density and mechanical properties of the sintered parts, but it is inferior in terms of dimensional stability. This study elucidates the dimensional stability of sintered parts made from W-Ni-Fe alloy feedstocks that contain 83 and 93 wt% W. The powder injection molding of microcutters that demand micrometer-scale precision is considered as an example. The Taguchi method is utilized to optimize injection molding and sintering parameters, effectively optimizing the dimensional stability and mechanical properties. Experimental results show that (1) feedstock with 93 wt% W exhibited little and consistent shrinkage (25%–26%); (2) the optimal injection molding parameters determined by the Taguchi method yield an eccentricity of over 18%, and (3) in the sintering process, low heating rate significantly improves dimensional stability. The average hardness of microcutters, sintered at various heating rates, ranges from Vickers hardness 446 to 452.

scholarly journals Green density optimization of stainless steel powder via metal injection molding by Taguchi method

2017 ◽  
Vol 135 ◽  
pp. 00038 ◽  
Author(s):  
AM Amin ◽  
MHI Ibrahim ◽  
MY Hashim ◽  
OMF Marwah ◽  
MH Othman ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Injection Molding ◽  
Taguchi Method ◽  
Steel Powder ◽  
Stainless Steel Powder ◽  
Metal Injection Molding ◽  
Green Density

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.

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.

scholarly journals Green Strength Optimization in Metal Injection Molding Applicable with a Taguchi Method L9 (3)4

2015 ◽  
Vol 773-774 ◽  
pp. 115-117 ◽  
Author(s):  
N. Mustafa ◽  
Mohd Halim Irwan Ibrahim ◽  
Rosli Asmawi ◽  
Azriszul Mohd Amin ◽  
S.R. Masrol
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Complex Geometry ◽  
Signal To Noise Ratio ◽  
Injection Pressure ◽  
Cost Effective ◽  
Metal Injection Molding ◽  
Injection Molding Process ◽  
Molding Process ◽  
Green Strength

Recently Metal injection molding is selected as a vital process in producing large amount of small part with complex geometry and intricate shape. This process is lead to solve cost effective issue in manufacturing fields. Feedstock composition behavior categorized as one of impact factor in determines the victories in metal injection molding process. Thus this paper is focused on optimizing the strength of green part by applied Taguchi Method L9 (34) as optimization tools during injection process. The composition of feedstock is 55% powder loading (PL) were injected by injection molding machine .Several injection parameter were optimized such as injection temperature (A), barrel temperature (B), injection pressure (C) and Speed (D) The results analyzed by using Signal to Noise Ratio (S/N ratio) terms. The highest green strength is A2, B2, C2, and D2

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