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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Shaari, Muhammad Farid
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2020The Mechanical Performance of Pipe Based on Fiberglass Reinforced with Plastic Waste (FRPW) Compositescitations
- 2019The open air electrical-field activated sintering and forming of micro components.
- 2019Multiple Responses Optimisation in Injection Moulding Parameter for Polypropylene-Nanoclay-Gigantochloa Scortechinii via Taguchi Method.citations
- 2017Development and characterization of the ionic polymer metal composite actuated contractile water jet thruster
- 2016Process parameters evaluation for direct investment casting
- 2014Fabrication and Characterization of IPMC Actuator for Underwater Micro Robot Propulsorcitations
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article
Multiple Responses Optimisation in Injection Moulding Parameter for Polypropylene-Nanoclay-Gigantochloa Scortechinii via Taguchi Method.
Abstract
This paper presents the findings of multiple responses optimisation of overall qualityperformances for the samples made from the blend of polypropylene-nanoclay with differentweight 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 tobe improved upon the optimisation were flexural strength, warpage and shrinkage. Thisresearch started by drying the fibres at 120°C before mixing the fibres with polypropylene,compatibilizer (polypropylene grafted maleic anhydride) and nanoclay. The compounding ofthese nanocomposites was performed before injection moulding by using lab compounder andpalletizer. The multiple responses optimisation process was compiled by adding the signal tonoise ratio for each responses. As for the results, for control sample (0 wt. % fibre) thevalidated S/NQP was 112.173 dBi by using the optimised parameter. These values were usedfor comparison purposed. As for the 3 wt. % of fibre content, the validated S/NQP was 133.313dBi at 35% of packing pressure with 170°C setting of melt temperature. The filled time was 3seconds with 35% of screw speed. As for the 6 wt. % setting, the validated S/NQP was 135.835dBi with the same setting of packing pressure and screw speed but with different setting ofmelt temperature (175°C) and filled time (2 seconds). The most influential parameter forcontrol sample was melt temperature but the parameter changed to packing pressure when thefibre was added. Therefore existence of fibre was proven to affect towards the end results. Inconclusion, the optimum values of parameter setting and fibre contend will improve the qualityperformances specifically for products samples made from polypropylene-nanoclay-Gigantochloa Scortechinii. This material obviously giving a promising manufacturingopportunity to improve the quality of the injected moulding products.