التفاصيل البيبلوغرافية
| العنوان: |
Warpage Minimization: Analysis using Response Surface Methodology (RSM) and Particle Swarm Optimization (PSO) on Thin Part. |
| المؤلفون: |
Yasiin, A., Fathullah, M., Shayfull, Z., Nasir, S. M., Hazwan, M. H. W., Sazli, M., Yahya, Z. R. |
| المصدر: |
AIP Conference Proceedings; 2017, Vol. 1885 Issue 1, p1-8, 8p, 1 Color Photograph, 7 Charts, 1 Graph |
| مصطلحات موضوعية: |
PLASTIC products manufacturing, INJECTION molding, RESPONSE surfaces (Statistics), PARTICLE swarm optimization, ACRYLONITRILE butadiene styrene resins |
| مستخلص: |
Injection moulding process usually used in industry manufacturing for producing variety plastic parts. The most serious issues in manufacturing is to minimize the cost of producing product without influencing their final product quality. To produce a high quality of product, it's important to control the parameters of injection moulding machine. So that, this paper presents a systematic methodology to analyse on the quality (warpage) on a top part of optical mouse using Response Surface Methodology (RSM) and Particle Swarm Optimization (PSO). Acrylonitrile Butadiene Styrene (ABS) were selected as a material that used in simulation. The variable parameters were selected based on previous researches that influence the warpage and shrinkage on the moulded part which are packing pressure, packing time, melt temperature, mould temperature and cooling time. The result shows that the warpage on the top part of optical mouse was improved 0.0043% after the optimization process. The result not affect to the change of warpage before optimise. Its conclude that using RSM is enough to optimise the parameters to get the minimum warpage of top part of optical mouse. In this study, Mould temperature was selected as the most significant factors affects the warpage, followed by packing pressure and packing time. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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