Performance of assessment model for Injection moulding parameters

Nur Qurratul Ain, Adanan and Faiz, Mohd Turan and Kartina, Johan and Anis Izzati, Md Yusoff and Weng Yee, Yuen (2022) Performance of assessment model for Injection moulding parameters. In: Enabling Industry 4.0 through Advances in Manufacturing and Materials: Selected Articles from iM3F 2021, Malaysia , 20 September 2021 , Virtually hosted by Universiti Malaysia Pahang. pp. 59-65.. ISBN 978-981-19-2890-1

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Abstract

In order to manufacture a better quality of plastic product, the best injection moulding parameters have to be identified. Therefore, this research studies the performance of assessment model for injection moulding parameters using Taguchi and ANOVA method. The objective of this research is to identify the best injection moulding parameters in producing plastic pallets in term of compressive strength when subjected to a constant load. Melting temperature, charging speed and holding pressure and polypropylene material were chosen as the parameters to study their effect on compressive strength. According to the results obtained, the melting temperature of 230 °C, charging speed of 93 rpm and holding pressure of 25 MPa were found to be the best combination of injection moulding parameters to fabricate the better performance of plastic pallet which give the maximum ultimate load with 6376.7 kg. Based on the statistical ANOVA analysis results, the most significant parameter affecting the compressive strength of plastic pallet is melting temperature, which is indicated by the percentage contribution of P = 63.67%, followed by holding pressure with 21.79%. Charging speed is the least significant parameter with 2.96%. To conclude that, Taguchi and ANOVA method show that melting temperature is the most significant parameter in order to get the best compressive strength.

Item Type:	Conference or Workshop Item (Lecture)
Uncontrolled Keywords:	Injection moulding; compressive strength ; Taguchi · ANOVA
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management T Technology > TJ Mechanical engineering and machinery
Faculty/Division:	Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User:	Miss. Ratna Wilis Haryati Mustapa
Date Deposited:	11 Oct 2022 08:53
Last Modified:	12 Oct 2022 07:16
URI:	http://umpir.ump.edu.my/id/eprint/35400
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