General frameworks for optimization of plastic injection molding process parameters

Dang, Xuan-Phuong

doi:10.1016/j.simpat.2013.11.003

Cited by 140 publications

(54 citation statements)

References 33 publications

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“…[18] explored parameters of the injection molding process. A process of performing imitation simulation isdescribed, but the process of optimization of the casting parameters, which influence QL of plastic parts, is not described.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the comprehensive method forquality assessment of plastic parts

Nevliudov

Sotnik

Frolov

et al. 2017

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the comprehensive method forquality assessment of plastic parts

Nevliudov

Sotnik

Frolov

et al. 2017

EEJET

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“…Optimizing Filling Pressure. Mobile phone shell is thin-walled part, the main deformation is warpage [3],we adopt the pressure control method with filling pressure and time, which set up 80%, 100%, 120%, 140% filling pressure. The results show that the larger the filling pressure is, the smaller the volume shrinkage is, when the filling pressure is 120%, the volume shrinkage is 3.827+0.9055=4.7325.As we can be seen in Figure 1, the greater the filling pressure, the smaller the deformation, When the filling pressure is 80%, the deformation is 0.5173-0.1367=0.3806mm,When the filling pressure is 140%, the deformation of all effects is 0.2667 -0.0137=0.253mm, and the deformation decreased by 33.5%, But too much pressure will increase the clamping force, increase energy consumption, count against to enterprise production.…”

Section: Optimal Designmentioning

confidence: 99%

Optimization Analysis of Mobile Phone Shell Based on Moldflow

Sun¹,

Mingjiang²,

Wang³

2017

Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 20

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Abstract. For simple plastic injection parts of mobile phone shell, in order to reduce the warp of the injection molding and the number of test mold in design process, this paper takes a mobile phone shell for example as the analysis object, using SolidWorks software to address the Three-dimensional modeling of the mobile phone shell and moldflow software to analyze the warp defects of product .By the way of taking the method of Taguchi experiment, optimizing mold structure, filling pressure and sizing pressure curve,the warp of the injection molding could be reduced. So we can get a better combination data of process and reduce the cost of mold-design and manufacturing.

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“…The productivity, cycle time and energy consumption of the molding process is also influenced by molding conditions. Materials, part design and tooling develop a close relationship with molding conditions [1].…”

Section: Introductionmentioning

confidence: 99%

Experimentation and Optimization of Shrinkage in Plastic Injection Molded GPPS Part

Bhirud¹,

Metkar²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Abstract:The objective of this research is to find out the optimized process parameters for minimum shrinkage.For this purpose, the injection molded General Purpose Polystyrene (GPPS) part which is used in refrigerators is taken. The Taguchi method is used for design of experiments. For five parameters with three levels, L27 orthogonal array in case of Taguchi method is selected. The experiments are performed in Autodesk mold-flow insight simulation software with mold temperature, melt temperature, injection time, packing pressure and cooling time as process parameters. Analysis of variance is used to find out optimized set of process parameters and percentage effect of each parameter on shrinkage. Regression analysis is carried out to predict shrinkage value using regression equation. Artificial Neural Network (ANN) is used to predict shrinkage value for optimized process setting. Thus, experimental, statistical and computational approaches are used for validation of research.

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General frameworks for optimization of plastic injection molding process parameters

Cited by 140 publications

References 33 publications

Development of the comprehensive method forquality assessment of plastic parts

Development of the comprehensive method forquality assessment of plastic parts

Optimization Analysis of Mobile Phone Shell Based on Moldflow

Experimentation and Optimization of Shrinkage in Plastic Injection Molded GPPS Part

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