Extension method and numerical simulation of micro-injection molding

Y. K. Shen; Y. J. Shie; W. Y. Wu

doi:10.1016/S0735-1933(04)00066-1

Extension method and numerical simulation of micro-injection molding

Y. K. Shen, Y. J. Shie, W. Y. Wu

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

Micro system technology is including Optic, Mechanism, Electricity, Material, Control and Chemistry, etc. Micro-injection molding is a branch of micro system technology. In this study, 3D numerical simulation and extension method are performed on micro-injection molding. The analysis with different polymers (such as PP ? PA and POM) ? processing parameters (injection time ? mold temperature ? injection temperature ? injection temperature and injection pressure) uses to simulate the micro-gear for example. In order to obtain optimum result, the analysis introduces Taguchi method to discuss the influence of each parameter in micro-injection molding. In this study, the results between numerical simulation and extension method show that the mold temperature is the most important factor on processing parameters and PP material is the best suitable material.

Original language	English
Pages (from-to)	795-804
Number of pages	10
Journal	International Communications in Heat and Mass Transfer
Volume	31
Issue number	6
DOIs	https://doi.org/10.1016/S0735-1933(04)00066-1
Publication status	Published - Aug 1 2004
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Chemical Engineering
Condensed Matter Physics

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10.1016/S0735-1933(04)00066-1

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AU - Wu, W. Y.

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AB - Micro system technology is including Optic, Mechanism, Electricity, Material, Control and Chemistry, etc. Micro-injection molding is a branch of micro system technology. In this study, 3D numerical simulation and extension method are performed on micro-injection molding. The analysis with different polymers (such as PP ? PA and POM) ? processing parameters (injection time ? mold temperature ? injection temperature ? injection temperature and injection pressure) uses to simulate the micro-gear for example. In order to obtain optimum result, the analysis introduces Taguchi method to discuss the influence of each parameter in micro-injection molding. In this study, the results between numerical simulation and extension method show that the mold temperature is the most important factor on processing parameters and PP material is the best suitable material.

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Extension method and numerical simulation of micro-injection molding

Abstract

ASJC Scopus subject areas

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