Faculty Publications

Title

Enhancement of quality of polypropylene by optimisation of injection moulding parameters with genetic algorithm

Document Type

Conference

Keywords

Impact strength, Multi-objective genetic algorithm, Plastic injection moulding, Polypropylene, Taguchi's orthogonal array, Thermal shrinkage, Warpage

Journal/Book/Conference Title

International Journal of Environment and Sustainable Development

Volume

21

Issue

1-2

First Page

206

Last Page

217

Abstract

injection moulding (PIM) represents one of the most important processes in the mass production of precise plastic parts with intricate geometries. Polypropylene (PP) is the widely used material related to plastic parts for automobile and packaging industry. It was observed that thermal shrinkage and warpage in plastic parts are the most prominent defects and affects the quality of plastic parts. In this paper, a methodology has been presented for reducing the thermal shrinkage and warpage along with the maximising the impact strength (IS) of virgin polypropylene (PP). To obtain the optimum values of injection moulding parameters, Taguchi orthogonal array (OA) was used. Overall, six parameters were chosen for the experiment. The linear graph was utilised to know the effectiveness and interactions of the parameters. Thus, with Taguchi method minimum thermal shrinkage of 4.67%, minimum warpage of 1.8 mm and maximum impact strength of 56.7 J/m were obtained in PP specimens. With this methodology, prediction equations and mathematical models for thermal shrinkage, warpage and IS of PP were developed which are useful for industrial applications. With multi objective genetic algorithm, these mathematical models were optimised.

Department

Department of Applied Engineering and Technical Management

Original Publication Date

1-1-2022

DOI of published version

10.1504/IJESD.2022.119389

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