Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method

This paper presents the findings of multiple responses optimisation of overall quality performances for the samples made from the blend of polypropylene-nanoclay with different weight percentage of Gigantochloa Scortechinii fibres. The contents of fiber were set at 0 wt. %, 3 wt. % and 6 wt. %. T...

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Main Authors: Khamis, S.Z., Othman, Mohd Hilmi, Hasan, Sulaiman, Main, Nor Mazlana, Masrol, Shaiful Rizal, Shaari, Muhammad Farid, Ibrahim, Siti Noorjannah, Salim, Sabiha M.
Format: Conference or Workshop Item
Language:English
English
Published: IOP Publishing Ltd 2019
Subjects:
Online Access:http://irep.iium.edu.my/72637/
http://irep.iium.edu.my/72637/
http://irep.iium.edu.my/72637/
http://irep.iium.edu.my/72637/1/72637%20Multiple%20Responses%20Optimisation%20in%20Injection%20Moulding%20Parameter.pdf
http://irep.iium.edu.my/72637/2/72637%20Multiple%20Responses%20Optimisation%20in%20Injection%20Moulding%20Parameter%20SCOPUS.pdf
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spelling iium-726372019-06-14T04:05:53Z http://irep.iium.edu.my/72637/ Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method Khamis, S.Z. Othman, Mohd Hilmi Hasan, Sulaiman Main, Nor Mazlana Masrol, Shaiful Rizal Shaari, Muhammad Farid Ibrahim, Siti Noorjannah Salim, Sabiha M. T Technology (General) This paper presents the findings of multiple responses optimisation of overall quality performances for the samples made from the blend of polypropylene-nanoclay with different weight percentage of Gigantochloa Scortechinii fibres. The contents of fiber were set at 0 wt. %, 3 wt. % and 6 wt. %. The selected injection moulding parameters were packing pressure, melt temperature, screw speed and filling time. The overall quality performances that need to be improved upon the optimisation were flexural strength, warpage and shrinkage. This research started by drying the fibres at 120°C before mixing the fibres with polypropylene, compatibilizer (polypropylene grafted maleic anhydride) and nanoclay. The compounding of these nanocomposites was performed before injection moulding by using lab compounder and palletizer. The multiple responses optimisation process was compiled by adding the signal to noise ratio for each responses. As for the results, for control sample (0 wt. % fibre) the validated S/NQP was 112.173 dBi by using the optimised parameter. These values were used for comparison purposed. As for the 3 wt. % of fibre content, the validated S/NQP was 133.313 dBi at 35% of packing pressure with 170°C setting of melt temperature. The filled time was 3 seconds with 35% of screw speed. As for the 6 wt. % setting, the validated S/NQP was 135.835 dBi with the same setting of packing pressure and screw speed but with different setting of melt temperature (175°C) and filled time (2 seconds). The most influential parameter for control sample was melt temperature but the parameter changed to packing pressure when the fibre was added. Therefore existence of fibre was proven to affect towards the end results. In conclusion, the optimum values of parameter setting and fibre contend will improve the quality performances specifically for products samples made from polypropylene-nanoclayGigantochloa Scortechinii. This material obviously giving a promising manufacturing opportunity to improve the quality of the injected moulding products. IOP Publishing Ltd 2019-03-01 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/72637/1/72637%20Multiple%20Responses%20Optimisation%20in%20Injection%20Moulding%20Parameter.pdf application/pdf en http://irep.iium.edu.my/72637/2/72637%20Multiple%20Responses%20Optimisation%20in%20Injection%20Moulding%20Parameter%20SCOPUS.pdf Khamis, S.Z. and Othman, Mohd Hilmi and Hasan, Sulaiman and Main, Nor Mazlana and Masrol, Shaiful Rizal and Shaari, Muhammad Farid and Ibrahim, Siti Noorjannah and Salim, Sabiha M. (2019) Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method. In: International Conference on Mechanical and Manufacturing Engineering (ICME2018), 16th-17th July 2018, Johor Bahru, Johor. https://iopscience.iop.org/article/10.1088/1742-6596/1150/1/012062/pdf 10.1088/1742-6596/1150/1/012062
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Khamis, S.Z.
Othman, Mohd Hilmi
Hasan, Sulaiman
Main, Nor Mazlana
Masrol, Shaiful Rizal
Shaari, Muhammad Farid
Ibrahim, Siti Noorjannah
Salim, Sabiha M.
Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method
description This paper presents the findings of multiple responses optimisation of overall quality performances for the samples made from the blend of polypropylene-nanoclay with different weight percentage of Gigantochloa Scortechinii fibres. The contents of fiber were set at 0 wt. %, 3 wt. % and 6 wt. %. The selected injection moulding parameters were packing pressure, melt temperature, screw speed and filling time. The overall quality performances that need to be improved upon the optimisation were flexural strength, warpage and shrinkage. This research started by drying the fibres at 120°C before mixing the fibres with polypropylene, compatibilizer (polypropylene grafted maleic anhydride) and nanoclay. The compounding of these nanocomposites was performed before injection moulding by using lab compounder and palletizer. The multiple responses optimisation process was compiled by adding the signal to noise ratio for each responses. As for the results, for control sample (0 wt. % fibre) the validated S/NQP was 112.173 dBi by using the optimised parameter. These values were used for comparison purposed. As for the 3 wt. % of fibre content, the validated S/NQP was 133.313 dBi at 35% of packing pressure with 170°C setting of melt temperature. The filled time was 3 seconds with 35% of screw speed. As for the 6 wt. % setting, the validated S/NQP was 135.835 dBi with the same setting of packing pressure and screw speed but with different setting of melt temperature (175°C) and filled time (2 seconds). The most influential parameter for control sample was melt temperature but the parameter changed to packing pressure when the fibre was added. Therefore existence of fibre was proven to affect towards the end results. In conclusion, the optimum values of parameter setting and fibre contend will improve the quality performances specifically for products samples made from polypropylene-nanoclayGigantochloa Scortechinii. This material obviously giving a promising manufacturing opportunity to improve the quality of the injected moulding products.
format Conference or Workshop Item
author Khamis, S.Z.
Othman, Mohd Hilmi
Hasan, Sulaiman
Main, Nor Mazlana
Masrol, Shaiful Rizal
Shaari, Muhammad Farid
Ibrahim, Siti Noorjannah
Salim, Sabiha M.
author_facet Khamis, S.Z.
Othman, Mohd Hilmi
Hasan, Sulaiman
Main, Nor Mazlana
Masrol, Shaiful Rizal
Shaari, Muhammad Farid
Ibrahim, Siti Noorjannah
Salim, Sabiha M.
author_sort Khamis, S.Z.
title Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method
title_short Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method
title_full Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method
title_fullStr Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method
title_full_unstemmed Multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa Scortechinii via Taguchi method
title_sort multiple responses optimisation in injection moulding parameter for polypropylene-nanoclay-gigantochloa scortechinii via taguchi method
publisher IOP Publishing Ltd
publishDate 2019
url http://irep.iium.edu.my/72637/
http://irep.iium.edu.my/72637/
http://irep.iium.edu.my/72637/
http://irep.iium.edu.my/72637/1/72637%20Multiple%20Responses%20Optimisation%20in%20Injection%20Moulding%20Parameter.pdf
http://irep.iium.edu.my/72637/2/72637%20Multiple%20Responses%20Optimisation%20in%20Injection%20Moulding%20Parameter%20SCOPUS.pdf
first_indexed 2023-09-18T21:42:56Z
last_indexed 2023-09-18T21:42:56Z
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