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Fenmo yejin jishu
Article . 2025
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Deformation of Fe2Ni prepared by metal powder injection molding

Authors: MU Jianghan; LIU Shumei; LI Dajie; YANG Hangzhou; ZHOU Haitao;

Deformation of Fe2Ni prepared by metal powder injection molding

Abstract

In the process of the metal powder injection molding Fe2Ni, the deformation problem was present due to the uneven distribution of metal powders caused by the poor bonding of binder and shear heat generation. The flow and coupling properties of feedstock in three powder loads were compared by melt index experiment in this paper. The gate area, mold temperature, and injection temperature were optimized by Taguchi method, range analysis, and variance analysis, and the influence of process parameter interaction on the shear stress was studied. The results show that the optimum process parameters are the powder loading capacity (volume fraction) 62.5%, the gate surface 23.984 cm2, the mold temperature 69.854 ℃, and the injection temperature 194.323 ℃. Through the verification analysis of Moldex 3D software, the shear stress of the products is the minimum, the powder uniformity is the highest, and the deformation of the final products is improved.

Keywords

Mining engineering. Metallurgy, simulation optimization, TN1-997, deformation defect, metal powder injection molding, binder, shear stress

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold