The Study of Optimal Molding of a LED Lens with Grey Relational Analysis and Molding Simulation

  • Min-Wen Wang Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, 415 Jiangong Rd, Kaohsiung 80778, Taiwan
  • Fatahul Arifin Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, 415 Jiangong Rd, Kaohsiung 80778, Taiwan; Department of Mechanical Engineering, Politeknik Negeri Sriwijaya, Srijaya Negara Rd, Bukit Besar, Palembang 30139, Indonesia https://orcid.org/0000-0002-8973-0709
  • Van-Hanh Vu Institute of Mechanical and Precision Engineering, National Kaohsiung University of Applied Sciences 415 Jiangong Rd, Kaohsiung 80778, Taiwan

Abstract

Injection molding technology is known as the most widely used method in mass production of plastic products. To meet the quality requirements, a lot of methods were applied in optimization of injection molding process parameter. In this study the optimization based on Taguchi orthogonal array and Grey relational analysis (GRA) is used to optimize the injection molding process parameters on a LED lens. The four process parameters are: packing pressure, injection speed, melt temperature and mold temperature. The multi-response quality characteristics are total displacement, volumetric shrinkage, and thermal residual stress. The optimal molding parameters are packing pressure (90 MPa), injection speed (300 mm/sec), melt temperature (270 °C) and mold temperature (90 °C). The luminous uniformity of the LED is 92.61 % and the viewing angle of the LED is 124.76°. Among the four factors, packing pressure plays the key role in reducing total displacement, volumetric shrinkage, and thermal residual stress.

Keywords: injection molding, LED lens, Taguchi orthogonal array, grey relational analysis, analysis of variance
Published online
2019-08-23
How to Cite
Wang, M.-W., Arifin, F. and Vu, V.-H. (2019) “The Study of Optimal Molding of a LED Lens with Grey Relational Analysis and Molding Simulation”, Periodica Polytechnica Mechanical Engineering, 64(4), pp. 278-294. doi: https://doi.org/10.3311/PPme.13337.
Section
Articles