Injection Molding Process Optimization of Polypropylene using Orthogonal Experiment Method Based on Tensile Strength

This article is using Moldflow analysis and orthogonal experimental method during the whole experiment. The injection molding process of motor cover is simulated under various technological conditions.After forming the maximum amount of warpage of plastic parts for evaluation.According to the range analysis of the comprehensive goal, the extent of the overall influence to the processing parameters, such as gate location, melt temperature, mold temperature and holding pressure is clarified.Through analyzing the diagrams of influential factors resulted from the simulation result,the optimized process parameter scheme is obtained and further verified by simulation.

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THE EFFECT OF VAPOR CHAMBER IN AN INJECTION MOLDING PROCESS ON PART TENSILE STRENGTH

Experimental Techniques ◽

10.1111/j.1747-1567.2009.00578.x ◽

2009 ◽

Vol 35 (1) ◽

pp. 60-64 ◽

Cited By ~ 9

Author(s):

Y.-P. Tsai ◽

J.-C. Wang ◽

R.-Q. Hsu

Keyword(s):

Tensile Strength ◽

Injection Molding ◽

Injection Molding Process ◽

Vapor Chamber ◽

Molding Process

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Injection molding process optimization of a bi-aspheric lens using hybrid artificial neural networks (ANNs) and particle swarm optimization (PSO)

Measurement ◽

10.1016/j.measurement.2018.10.066 ◽

2019 ◽

Vol 134 ◽

pp. 359-374 ◽

Cited By ~ 17

Author(s):

R. Joseph Bensingh ◽

Rajendra Machavaram ◽

S. Rajendra Boopathy ◽

C. Jebaraj

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Artificial Neural Networks ◽

Injection Molding ◽

Process Optimization ◽

Particle Swarm ◽

Injection Molding Process ◽

Molding Process ◽

Swarm Optimization ◽

Aspheric Lens

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Effects of Injection Molding Process Conditions on Physical Properties of EPDM Using Design of Experiment Method

MATEC Web of Conferences ◽

10.1051/matecconf/201816702016 ◽

2018 ◽

Vol 167 ◽

pp. 02016 ◽

Cited By ~ 1

Author(s):

Young Shin Kim ◽

Euy Sik Jeon ◽

Eui Seob Hwang

Keyword(s):

Injection Molding ◽

Physical Properties ◽

Raw Material ◽

Injection Molding Process ◽

Process Conditions ◽

Process Variables ◽

Molding Process ◽

Test Pieces ◽

Experiment Method ◽

Major Factors

The process variables such as time and temperature during the EPDM-injection molding not only change the physical properties of the raw material but also affect the insertion and separations forces when a grommet product is molded and mounted on a car body. Using the design of experiments method, the major factors in the injection molding process were considered to analyze their effects on the physical properties of the obtained EPDM materials. Test pieces were prepared under different process conditions, tensile strength and elongation were measured, and their correlation was analyzed.

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Automotive Interior Parts Molding Process Simulation and Parameter Optimization

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.734-737.2725 ◽

2013 ◽

Vol 734-737 ◽

pp. 2725-2729

Author(s):

Yin Wu Tan ◽

You Min Wang ◽

Ge Zhou ◽

Xiao Yang Du

Keyword(s):

Injection Molding ◽

Orthogonal Experiment ◽

Injection Pressure ◽

Mold Temperature ◽

Injection Molding Process ◽

Molding Process ◽

Interior Decoration ◽

Melt Temperature ◽

Influence Of Process Parameters ◽

Sink Mark

By the use of UG software，the solid model of the interior decoration board inside the automobile door was created and the molding behavior of the plastic product was simulated and analysis in the virtue of Moldflow．Based on the analysis of the effect of the mould parameter on the molding behavior ,the best gate location was achieved.We designed the L9(33) orthogonal experiment table of the parts injection molding,selected the mold temperature, melt temperature, injection pressure as the factores .Sink mark index, volume shrinkage, maximumwarping deformation and cavity residual stress are determined as the parts quality evaluation. We completed the orthogonal experiment and the range analyses of the results. We analyzed the influence of process parameters on evaluation of every optimal direction,developed evaluation for comprehensive quality of parts. Finally, we get the table showing the tendency on the assessment of the quality index influenced by various factors, which provides a foundation for the approaching research on the parameters of the injection molding process.

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Application of Optimization Algorithms in Injection Molding Process Parameters Optimization

Materials Science Forum ◽

10.4028/www.scientific.net/msf.704-705.183 ◽

2011 ◽

Vol 704-705 ◽

pp. 183-190

Author(s):

Ze Hao Hu ◽

Wei Wei ◽

Juan Liu ◽

Kun Liu

Keyword(s):

Injection Molding ◽

Process Parameters ◽

Design Method ◽

Orthogonal Experiment ◽

Parameters Optimization ◽

Injection Molding Process ◽

Molding Process ◽

Bp Artificial Neural Network ◽

Agent Model ◽

Set Up

In this paper, the numerical simulation and calculation of injection molding process are taken in the Moldflow software. The BP artificial neural network combining with the orthogonal experiment design method is used to set up the injection molding process agent model, genetic algorithms are applied to realize global optimization, finally, the optimal combination of process parameters of each quality indicators is obtained.

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Optimization of injection molding process parameters based on GA-ELM-GA

MATEC Web of Conferences ◽

10.1051/matecconf/202235501029 ◽

2022 ◽

Vol 355 ◽

pp. 01029

Author(s):

Yi Mei ◽

Maoyuan Xue

Keyword(s):

Genetic Algorithm ◽

Injection Molding ◽

Process Parameters ◽

Orthogonal Experiment ◽

Optimization Method ◽

Injection Molding Process ◽

Optimal Process ◽

Range Analysis ◽

Molding Process ◽

Warpage Deformation

The most common optimization method for the optimization of injection mold process parameters is range analysis, but there is often a nonlinear coupling relationship between injection molding process parameters and quality indicators. Therefore, it is difficult to find the optimal process combination in range analysis. In this article, a genetic algorithm optimized extreme learning machine network model (GA-ELM) combined with genetic algorithm (GA) was proposed to optimize the process parameters of the injection mold. Take the injection molding process parameter optimization of an electrical appliance buckle cover shell as an example. In order to find the process parameters corresponding to the minimum warpage deformation, an orthogonal experiment was designed and the results of the orthogonal experiment were analyzed. Then, the corresponding optimal process combination and the degree of influence of process parameters on the warpage deformation were obtained. At the same time, the extreme learning machine network model (GA-ELM) optimized by the genetic algorithm was used to predict the warpage deformation of the plastic part. The trained GA-ELM model can map non-linear coupling relationship between the five process parameters and the warpage deformation well. And the optimal process parameters in the trained GA-ELM network model was searched by the powerful optimization ability of genetic algorithm. Generally speaking, the warpage deformation after optimization by range analysis is reduced by 6.7% compared with the minimum warpage after optimization by orthogonal experiment. But compared to the minimum warpage deformation after orthogonal experiment optimization, the warpage deformation after GAELM-GA optimization is reduced by 22%, which is better than that of the range analysis, thus verifying the feasibility and the optimization of the optimization method. This optimization method provides a certain theoretical reference and technical support for the field involving the optimization of process parameters.

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Experimental Study and Numerical Simulation of Injection Molding Process for Special-shaped Plastic Part

The Open Mechanical Engineering Journal ◽

10.2174/1874155x01509010416 ◽

2015 ◽

Vol 9 (1) ◽

pp. 416-421

Author(s):

Chen Xiaoyong ◽

Wang Qian

Keyword(s):

Numerical Simulation ◽

Experimental Study ◽

Injection Molding ◽

Orthogonal Experiment ◽

Coordinate Measuring Machine ◽

Injection Molding Process ◽

Plastic Part ◽

Molding Process ◽

Measuring Machine ◽

Cae Technology

Taking the special-shaped plastic part as the research object, experimental study and numerical simulation of injection molding process were performed using numerical simulation technology, orthogonal experiment method, software Moldflow, injection machine and coordinate measuring machine (CMM). The better feeding system and optimal molding process parameters were proposed and qualified products were produced. The research results show that the efficiency of the simulation guidance would be significantly improved by combining the CAE technology and production experience.

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