DOI QR코드

DOI QR Code

실험계획법에 의한 폴리카보네이트 차량 스위치 버튼의 사출성형공정 최적화

Optimization of an Injection Molding Process for Polycarbonate Car Switch Buttons Using the Taguchi Method

  • Kim, Cheol (Kyungpook National University, Department of Mechanical Engineering) ;
  • Park, Jaewoo (Kyungpook National University, Department of Mechanical Engineering)
  • 투고 : 2015.07.30
  • 심사 : 2016.02.24
  • 발행 : 2016.02.29

초록

고분자 재료로 된 자동차부품들은 주로 사출성형으로 제작되며, 이 과정에서 뒤틀림, 침전 흔적, 용입선, 수축, 잔류응력 등의 결함이 발생한다. 본 연구를 통해서 이들 결함을 제거할 수 있는 차량용 폴리카보네이트 버튼의 사출성형 공정변수를 실험계획법을 이용하여 최적화 하였다. 공정변수로는 충전압력, 금형온도, 용융온도, 충전시간을 고려했으며 FEM, 다구치법, ANOVA를 사용하여 해석하고 최적화 하였다. 최적화 결과, 충전압력은 140 MPa, 금형온도는 $105^{\circ}C$, 용융온도는 $292.5^{\circ}C$, 충전시간은 1초, 등의 공정변수 값을 얻었으며, 10.2의 S/N 비를 얻었다. 수지의 용융온도가 가장 큰 영향을 미치며, 그 다음으로 금형의 온도였다.

The quality of polymeric automotive parts depends highly on an injection molding process, which causes various defects, such as warpage, sink marks, weld lines, shrinkage, residual stress, etc. This study is to determine the optimum processing parameters, such as packing pressure, mold temperature, melting temperature, and packing time for the manufacture of polycarbonate buttons in cars on the basis of FEM, the Taguchi method, and analysis of variance (ANOVA). As a result, the optimum processing parameters of buttons made of polycarbonate material were obtained as follows: 140 MPa of packing pressure, $105^{\circ}C$ of mold temperature, $292.5^{\circ}C$ of melting temperature and 1 second of packing time. A gain of S/N (signal to noise) ratio, 10.2, was obtained with the optimum values. Moreover, the melting temperature was found to be the most significant factor followed by the mold temperature.

키워드

참고문헌

  1. Ahmad, A.H., Leman, Z., Azmir, M.A., Muhamad, K.F., Harun, W.S.W., Juliawati, A., and Alias, A.B.S., "Optimization of Warpage Defect in Injection Moulding Process using ABS Material," Proc. the 2009 Third Asia International Conference on Modelling & Simulation, 2009, pp. 470-472.
  2. Kim, H.J., Improvement of Connector Injection Molding Process by QFD & Taguchi Method, M.S. Thesis, Hanyang University, 2010.
  3. Oh, J. and Huh, Y., "A Study on Optimization of Injectionmolded System Using CAE and Design of Experiment," J. Korea Academia-Industrial Cooperation Society, Vol. 7, No. 3, 2006, pp. 271-277.
  4. Bae, J., "Optimization of Multilayer Injection Molding Process using DOE & CAE", M.S. Thesis, Ulsan University, 2007.
  5. Yang, H., Park, H., Na, H., and Park, E., "The Study on the Reliability Enhancement for CAE through Modification of Viscosity," KSAE 2011 Annual Conference, KSAE11-A0411, 2011, pp. 2246-2251.
  6. Lee, W.J., Lee, S.E., and Kim, C.G., "A Study on Mechanical Properties of MWNT/PMMA Nanocomposites Fabricated by Injection Molding," J. Korean Society for Composite Materials, Vol. 17, No. 4, 2004, pp. 47-52.
  7. Jeong, S., Moon, S., Jeoung, S., Lee, P., and Moon, J., "Optimization of Process Parameters of Die Slide Injection by Using Taguchi Method," Korean Chem. Eng. Res., Vol. 50, No. 2, 2012, pp. 264-269. https://doi.org/10.9713/kcer.2012.50.2.264
  8. Taguchi, G., Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream, ASME Press, 1993.
  9. Taguchi, G., Introduction to Quality Engineering: Design Quality into Products and Processes, Asian Productivity Organization, 1986.

피인용 문헌

  1. Intelligent Injection Molding on Sensing, Optimization, and Control vol.2020, pp.None, 2016, https://doi.org/10.1155/2020/7023616
  2. Optimization for the prepreg compression molding of notebook computer cover using design of experiment and finite element method vol.2, pp.9, 2016, https://doi.org/10.1007/s42452-020-03416-4