Multiobjective optimization of process parameters for plastic injection molding via soft computing and grey correlation analysis

2014 ◽  
Vol 78 (1-4) ◽  
pp. 525-536 ◽  
Author(s):  
Gang Xu ◽  
Zhitao Yang
Keyword(s):  
Correlation Analysis ◽  
Injection Molding ◽  
Multiobjective Optimization ◽  
Soft Computing ◽  
Process Parameters ◽  
Plastic Injection Molding ◽  
Grey Correlation ◽  
Optimization Of Process Parameters ◽  
Grey Correlation Analysis ◽  
Plastic Injection

Optimization of Process Parameters using DOE, RSM, and GA in Plastic Injection Molding

2012 ◽  
Vol 472-475 ◽  
pp. 1220-1223 ◽  
Author(s):  
Wen Chin Chen ◽  
Denni Kurniawan ◽  
Gong Loung Fu
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Industrial Applications ◽  
Plastic Injection Molding ◽  
Quality Characteristic ◽  
Optimal Process ◽  
Screening Experiments ◽  
Optimization Of Process Parameters ◽  
Initial Settings ◽  
Plastic Injection

In the past, plastic injection molding (PIM) product quality was usually measured by one single quality characteristic or by multiple quality characteristic with independent parameters one another. In this study, optimization of process parameters using design of experiment (DOE), response surface methodology (RSM), and genetic algorithm (GA) were proposed to generate the optimal process parameters settings of multiple-quality characteristics. In the first stage, significant PIM process parameters can be determined by DOE screening experiments. Then the optimal process parameter settings are obtained via computer aided engineering (CAE) simulation integrated with RSM and GA, which are taken as practically initial settings of process-related parameters. The experimental results show that the propose optimization model is very successful and can be used in industrial applications.

scholarly journals ANALYSIS ON VOLUMETRIC SHRINKAGE OF PLASTIC FOOD CONTAINER MADE FROM AN INJECTION MOLDING PROCESS

2020 ◽  
Vol 8 (2) ◽  
pp. 22-31
Author(s):  
Rosidah Jaafar ◽  
◽  
Hambali Arep ◽  
Effendi Mohamad ◽  
Jeefferie Abd Razak ◽  
...  
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Food Packaging ◽  
Plastic Injection Molding ◽  
Volumetric Shrinkage ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Plastic Injection

The plastic injection molding process is one of the widely used of the manufacturing process to manufacture the plastic product with high productivity. Moreover, the food packaging manufacturing industry undergoes the trials and errors to obtain the optimal setting of the process parameters in order to minimize the quality issues and these trials and errors are time consuming and costly. The aim of this study is to improve the quality of the butter tub by minimizing the volumetric shrinkage. This study is to deal with the application of Moldflow integrating with the statistical technique to minimize the volumetric shrinkage the butter tub which depends on the process parameters of the plastic injection molding. For this purpose, the rectangular shape of butter tub is designed by utilizing the SolidWorks. Molflow is used to simulate the plastic filling of the single cavity mold of butter tub based on the Taguchi’s �!" orthogonal array table. In addition, the analysis of variance (ANOVA) is applied to investigate significant impact of the process parameters on the quality of the butter tub. Minitab is used to optimize the response of the volumetric shrinkage by selecting the most appropriate process parameters that maximizing the desirability value. Furthermore, the butter tub has a uniform thickness which was 1.2 mm and its factor of safety was 3.383 and the volumetric shrinkage response have optimized by 0.956 %. The melt temperature and mold temperature are found to be the most significant process parameters for the plastic injection molding process of butter tub and the volumetric shrinkage value obtained from the simulation is verified by the calculated volumetric shrinkage value.

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