China Plastics ›› 2018, Vol. 32 ›› Issue (10): 99-104.DOI: 10.19491/j.issn.1001-9278.2018.10.015

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Warpage Optimization of Large-size Plate Plastic Parts Based on DOE, RSM and PSO

  

  • Received:2018-04-08 Revised:2018-09-02 Online:2018-10-26 Published:2018-10-26

Abstract: Design of experiments (DOE) was first adopted to analyze the process parameters of a cabinet type air conditioning panel including melt temperature, mold temperature, pressure holding pressure and pressure holding time, which influenced the warpage deformation of the injectionmolded part significantly.Subsequently, the response surface methodology (RSM) was applied to construct the secondorder response surface model by taking four process parameters as experimental variables and the warpage of the panelas a goal.The process parameters with minimum warpage were optimized, which led to a high accuracy for the model as well as alow prediction error rate of 2.486 %.Finally, the optimal of process parameters were obtained by particle swarm optimization (PSO) for the twoorder response surface model.The verification results indicated that the optimization error of PSO was 4882 %.Compared to the RSM optimization, the actual value of warpage was reduced by 38367 % from 5217 mm to 3459 mm, which was reduced, suggesting that this optimization effect was much better.