Optimizing Injection Parameter of Metal Injection Molding Processes Using the Feedstock of 16 μm Stainless Steel Powder (SS316L), PEG, PMMA and Stearic Acid (Similarity)

Arifin, Amir (2019) Optimizing Injection Parameter of Metal Injection Molding Processes Using the Feedstock of 16 μm Stainless Steel Powder (SS316L), PEG, PMMA and Stearic Acid (Similarity). .. (Unpublished)

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Abstract

Optimization of injection molding parameters isrequired to achieve acceptable strength anddensity of green compact prior to debinding and sintering process in MIM. This study relies on an L9 orthogonal array of Taguchi method in optimizing parameters ofmetal injection molding process and to study effect of solvent debinding stage. Feedstock in this study consists of stainless steel powder (SS316L) with the powder loading of 64Vol% and binder compositions are polyethelene glycol (PEG-73% wt), polymethyl methacrilate (PMMA-25% wt) and stearic acid (SA-2%). Results show that optimum parameters are: mold temperature 550C, injection temperature 1450C, injection pressure 700 bar and packing time 10 s. From the analysis of variance (ANOVA), packing time give effect achieve 69.57% in order to produce good surface quality and mold temperature 43.40% for the highest contribution factor to the strength of the green compact. The most suitable immersion time for debinding process is 180 minutes at the immersion temperature of 590C.

Item Type: Other
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions: 03-Faculty of Engineering > 21201-Mechanical Engineering (S1)
Depositing User: Amir Arifin
Date Deposited: 27 Mar 2020 05:08
Last Modified: 27 Mar 2020 05:08
URI: http://repository.unsri.ac.id/id/eprint/28636

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