In this study, the optimization of injection molding parameters was investigated to minimize warpage in polycarbonate/ acrylonitrile-butadiene-styrene (PC/ABS) components, specifically two distinct long bar-shaped products with internal grooves. Commercial-grade CHIMEI WONDERLOY PC-345 was utilized in a family mold configuration to improve production efficiency and space utilization. The Taguchi method, employing an L27 orthogonal array, was applied systematically, and the influence of five key process parameters—mold temperature, melt temperature, packing pressure, packing time, and cooling time—were analyzed. The simulation results are subsequently analyzed using the S/N ratio, which identified packing pressure, packing time, and melt temperature as the most significant factors affecting warpage. The optimal parameter set derived from the simulation is determined to be a mold temperature of 60 \(^\circ \) C, a melt temperature of 245 \(^\circ \) C, a packing pressure of 80 MPa, a packing time of 15 s, and a cooling time of 30 s. This study establishes a systematic simulation framework to improve product quality and manufacturing efficiency in plastic injection molding.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Simulation-Based Optimization of Injection Molding Parameters for Family Mold of Automotive Components

  • Minh-Tuan Ho,
  • Van-Keo Dong,
  • Quoc-Dat Luong,
  • Anh-Son Tran,
  • Quoc-Nguyen Banh

摘要

In this study, the optimization of injection molding parameters was investigated to minimize warpage in polycarbonate/ acrylonitrile-butadiene-styrene (PC/ABS) components, specifically two distinct long bar-shaped products with internal grooves. Commercial-grade CHIMEI WONDERLOY PC-345 was utilized in a family mold configuration to improve production efficiency and space utilization. The Taguchi method, employing an L27 orthogonal array, was applied systematically, and the influence of five key process parameters—mold temperature, melt temperature, packing pressure, packing time, and cooling time—were analyzed. The simulation results are subsequently analyzed using the S/N ratio, which identified packing pressure, packing time, and melt temperature as the most significant factors affecting warpage. The optimal parameter set derived from the simulation is determined to be a mold temperature of 60 \(^\circ \) C, a melt temperature of 245 \(^\circ \) C, a packing pressure of 80 MPa, a packing time of 15 s, and a cooling time of 30 s. This study establishes a systematic simulation framework to improve product quality and manufacturing efficiency in plastic injection molding.