The finite element analysis of melt flow behaviour in micro-injection moulding

Griffiths, Christian Andrew, Dimov, Stefan Simeonov, Brousseau, Emmanuel Bruno Jean Paul ORCID: https://orcid.org/0000-0003-2728-3189 and Packianather, Michael Sylvester ORCID: https://orcid.org/0000-0002-9436-8206 2008. The finite element analysis of melt flow behaviour in micro-injection moulding. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222 (9) , pp. 1107-1118. 10.1243/09544054JEM965

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Abstract

Micro-injection moulding as a replication method is one of the key technologies for micromanufacture. The understanding of process constraints for a selected production route is essential both at the design stage and during mass production. In this research, an existing finite element analysis system is used to verify the effects of four process parameters: the melt and mould temperatures, injection speed, and part thickness. Special attention is paid to the melt flow sensitivity when filling microchannels, particularly the factors affecting the shear rate, pressure, and temperature. In particular, the simulation model was used to investigate the flow behaviour of two polymer materials, polypropylene and acrylonitrile butadiene styrene, by varying the process parameters. Then, the results of this investigation were compared with those reported in an experimental study. Conclusions are made about the accuracy and sensitivity of the proposed simulation model.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Engineering Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures
Uncontrolled Keywords:	micro-injection moulding; finite element analysis; viscosity; process parameters; response surface methodology
Publisher:	SAGE Publications
ISSN:	0954-4054
Funders:	EU FP6, EPSRC
Last Modified:	02 Dec 2022 11:22
URI:	https://orca.cardiff.ac.uk/id/eprint/7767

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