Optimization of Process Parameters in Plastic Injection Mold Simulation for Auto Lock-Parts using Taguchi-Grey Method Based on Multi-Objective
Weitai Huang, Derho Wu, Ziyun Tasi, Chialun Tsai
Available Online November 2015.
- https://doi.org/10.2991/icsmme-15.2015.13How to use a DOI?
- Injection Molding, Taguchi Method, Grey Relational Analysis, Warpage
- Locks may be inserted during the production of certain auto lock-parts. Warpage of auto lock-parts during injection molding is the most critical problem facing product quality. This warpage is mostly affected by the processing parameters and design of the injection mold. In this paper, the influences of molding conditions on the warpage of auto-lock parts were studied using a mold filling analysis software. This study combines the Taguchi method and grey relational analysis to find the optimal set parameters for auto lock-parts and to analyze the effect of individual parameter on the warpage and the temperature distribution results. We then configure different cooling design change temperature distribution and reduce warpage, respectively, the original cooling, U-shaped cooling and conformal cooling with each other. From the results, it is shown that the factor that the most strongly affects the warpage is the mold temperature, with packing pressure being a secondary consideration. The optimum parameters that can minimize the warpage defects filling time (0.6 s), melt temperature (260°C), mold temperature (65°C), injection pressure (125 MPa) and packing pressure (140 MPa).
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Weitai Huang AU - Derho Wu AU - Ziyun Tasi AU - Chialun Tsai PY - 2015/11 DA - 2015/11 TI - Optimization of Process Parameters in Plastic Injection Mold Simulation for Auto Lock-Parts using Taguchi-Grey Method Based on Multi-Objective BT - 2015 International Conference on Structural, Mechanical and Material Engineering PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/icsmme-15.2015.13 DO - https://doi.org/10.2991/icsmme-15.2015.13 ID - Huang2015/11 ER -