Iranian Journal of Manufacturing Engineering

Iranian Journal of Manufacturing Engineering

Investigating metal injection molding of AISI-4605 low alloy steel feedstock: parametric optimization of the injection stage using RSM technique

Document Type : Original Article

Authors
Sina Rezaei 1
Ali Askari 2
1 MSc Graduate, Department of Materials Engineering, Science and research branch, Islamic Azad University, Tehran, Iran
2 Faculty Member, Department of Mechanical Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
10.22034/ijme.2024.440630.1926
Abstract
In the present study, the effective parameters of injection stage of the metal injection molding process (MIM) is investigated in order to make a sound industrial part from the AISI-4605 low-alloy steel. In order to design of experiments and also to optimize different parameters of injection, statistical method of response surface method (RSM) and five-variable Box-Behnken Design (BBD) have been used assuming a quadratic model. Using this software, 46 experiments were designed. Then the samples are made and their density is measured. After that, the importance of the injection parameters as well as the interaction between each parameter have been investigated using analysis of variance (ANOVA). Finally, this research has shown that the injection temperature of 155°C, the injection speed of 80 mm/s, the holding pressure of 83 bar, the holding time of 9 seconds and the injection pressure of 132 bar led to the maximum density of the green body, which is equivalent to 4.892 g/cm2. Finally, after producing a new sample using the optimal parameters a piece with a density of 4.9 g/cm2 was obtained, and it was observed that the results were very close to the predicted value, which presented the model has good accuracy in prediction.
Keywords
Metal Injection Molding
Low Alloy Steel 4605
Feedstock
Density
Response Surface Method (RSM)
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