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Advances in Materials Science and Engineering
Volume 2018, Article ID 2635084, 9 pages
https://doi.org/10.1155/2018/2635084
Research Article

Optimization of Process Parameters for Vertical-Faced Polypropylene Bottle Injection Molding

School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu, China

Correspondence should be addressed to Zhichao Yan; moc.qq@2188708411

Received 3 March 2018; Revised 22 April 2018; Accepted 30 April 2018; Published 3 June 2018

Academic Editor: Marco Cannas

Copyright © 2018 Youmin Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In order to obtain the optimal combination of process parameters for vertical-faced polypropylene bottle injection molding, with UG, the model of the bottle was drawn, and then, one module and sixteen-cavity injection molding system was established and analyzed using Moldflow. For filling and maintaining pressure during the process of infusion bottle injection molding, the orthogonal test table L25 () using CAE was designed for injection molding of the bottle, with six parameters such as melt temperature, mold temperature, injection pressure, injection time, dwell pressure, and dwell time as orthogonal test factors. By finding the best combination of process parameters, the orthogonal experiment was completed, the results were analyzed by range analysis, and the order of influence of each process parameter on each direction of optimization was obtained. The prediction dates of the infusion bottle were gained under various parameters, a comprehensive quality evaluation index of the bottle was formulated, and the multiobjective optimization problem of injection molding process was transformed into a single-objective optimization problem by the integrated weighted score method. The bottle parameters were optimized by analyzing the range date of the weighted scoring method, and the best parameter combination such as melt temperature 200°C, mold temperature 80°C, injection pressure 40 MPa, injection time 2.1 S, dwell pressure 40 MPa, and dwell time 40 S was gained.