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摘要: Determining the process parameter settings for plastic injection molding greatly affects the productivity and quality of the plastic injection molded product. Unsuitable process parameter settings can cause many production problems (like many product defects, long cycle times, large amount of scrap, high production costs, etc.), reduce the price competitive advantage, and decrease a company's profitability. Therefore, for plastic injection molding process, the present work proposes an effective process parameter optimization approach to help manufacturers achieve a competitive advantage of product quality and productivity. The present work highlights the development of mathematical models using response surface modeling (RSM) approach for correlating the inter-relationships of various injection molding process parameters such as, injection speed setting, melt temperature, injection time, and injection pressure …