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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IOP Publishing Ltd
2019
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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 |
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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 |
_version_ |
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