| People | Locations | Statistics |
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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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Masrol, Shaiful Rizal
in Cooperation with on an Cooperation-Score of 37%
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Publications (7/7 displayed)
- 2020The Mechanical Performance of Tile Based on Plastic Waste (PW) Mixed Wood Waste (MWW)citations
- 2019A study of reflection phase of reflectarray antennas with high loss organic substratescitations
- 2019Multiple Responses Optimisation in Injection Moulding Parameter for Polypropylene-Nanoclay-Gigantochloa Scortechinii via Taguchi Method.citations
- 2018Loss Quantization of Reflectarray Antenna Based on Organic Substrate Materials
- 2015Green Strength Optimization in Metal Injection Molding applicable with a Taguchi Method L9 (3) 4citations
- 2013Mechanical and physical behaviour of short and randomly oriented banana pseudo-stem fiber reinforced epoxy composite
- 2013Sound absorption characteristics of palm oil male flower spikes fiber reinforced composite
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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.