Injection Molding CAE Simulation

2009 ◽  
Vol 50 (579) ◽  
pp. 296-300
Author(s):  
Ryo NAKANO
Keyword(s):  
Injection Molding ◽  
Injection Molding Cae ◽  
Cae Simulation

The CAE Simulation of the Printer Cover Panel with Gas-Assisted Injection Molding

2012 ◽  
Vol 201-202 ◽  
pp. 808-811
Author(s):  
Guo Qiang Zhang ◽  
Mei Ting Xie ◽  
Wen Juan Wang ◽  
Ji Qiang Zhai
Keyword(s):  
Numerical Simulation ◽  
Injection Molding ◽  
Production Process ◽  
Process Parameters ◽  
Filling Process ◽  
Molding Process ◽  
Computer Aided ◽  
Simulation Results ◽  
Cae Technology ◽  
Cae Simulation

Numerical simulation in the printer cover product molding process with gas assisted injection molding was carried out by means of computer aided engineering. The filling process and surface quality were forecasted. The simulation results provide an important reference for the selection in the production process parameters. Compared with the production molding process and the actual product, CAE technology used in actual production and design is entirely feasible.

scholarly journals Influences of the mesh in the CAE simulation for plastic injection molding

Polímeros ◽  
2019 ◽  
Vol 29 (3) ◽  
Author(s):  
Felipe Marin ◽  
Adriano Fagali de Souza ◽  
Rodolfo Gabriel Pabst ◽  
Carlos Henrique Ahrens
Keyword(s):  
Injection Molding ◽  
Plastic Injection Molding ◽  
Cae Simulation ◽  
Plastic Injection

Design of Optimization Parameters with Hybrid Genetic Algorithm Method in Multi-Cavity Injection Molding Process

2012 ◽  
Vol 463-464 ◽  
pp. 587-591 ◽  
Author(s):  
Wen Jong Chen ◽  
Jia Ru Lin
Keyword(s):  
Genetic Algorithm ◽  
Injection Molding ◽  
Hybrid Genetic Algorithm ◽  
Injection Molding Process ◽  
Process Conditions ◽  
Molding Process ◽  
Optimization Parameters ◽  
Genetic Algorithm Method ◽  
Artificial Neural Network Ann ◽  
Cae Simulation

This paper combines an artificial neural network (ANN) with a traditional genetic algorithm (GA) method, called hybrid genetic algorithm (HGA), to analyze the warpage of multi-cavity plastic injection molding parts. Simulation results indicate that the minimum and the maximum warpage of the hybrid genetic algorithm (HGA) method were lower than that of the traditional GA method and CAE simulation. These results reveal that, when HGA is applied to multi-cavity plastic warpage analysis, the optimal process conditions are significantly better than those using the traditional GA method or CAE simulation.

Key Technologies Research on Section Display of Full 3D Gas-Assisted Injection Molding Simulation Results

2013 ◽  
Vol 365-366 ◽  
pp. 580-583
Author(s):  
Qing Hai Ren ◽  
Tie Geng
Keyword(s):  
Injection Molding ◽  
Analytic Geometry ◽  
Key Technologies ◽  
Display Technology ◽  
Injection Molding Simulation ◽  
Simulation Results ◽  
Injection Molding Cae ◽  
Gas Penetration ◽  
Element Algorithm

The section display technology of full-3D gas-assisted injection molding CAE results can describe the plastic melt filling and gas penetration inside the complex gas-assisted product. So, the key technologies of section display of "effective element" algorithm which is based on the pure space analytic geometry thought were introduced in detail. In the end, an instance was given.

The Shell of Internal Combustion Tamping Pickax Injection Molding CAE Technology Research

2011 ◽  
Vol 415-417 ◽  
pp. 339-342
Author(s):  
Li Min Sun ◽  
Jing Chao Zou
Keyword(s):  
Injection Molding ◽  
Flow Field ◽  
Mathematic Model ◽  
Internal Combustion ◽  
Mold Filling ◽  
Technology Research ◽  
Plastic Molding ◽  
Injection Molding Cae ◽  
Cae Technology ◽  
Plastic Housing

This article establish the physical and mathematic model of the plastic housing of the ND-5 internal combustion tamping pickax by plastic molding CAE, analyse the flow field in injection molding. We simulate many programs of the injection molding processing , analyze the mold-filling characteristic of the programs, study the defect situation and select the best injection molding program for the moulding.

Flow Analysis of Insert Molding Using Injection Molding CAE

2017 ◽  
Vol 11 (1) ◽  
pp. 81-83 ◽  
Author(s):  
Kazuto Yoshida ◽  
◽  
Kazutoshi Ootsuki ◽  
Koichi Hirose
Keyword(s):  
Injection Molding ◽  
Product Quality ◽  
Flow Analysis ◽  
Added Value ◽  
Shape Design ◽  
Flow Process ◽  
Plastic Shrinkage ◽  
Molded Part ◽  
Injection Molding Cae ◽  
Insert Molding

Injection molding CAE is employed to analyze the flow process of insert molding. The goals of the analysis are to reduce the number of injection processes required in injection molding, to impart greater added value to the product, and to advance injection molding technology. The importance of an analysis for the weld lines that occur when the mold is filled with plastic and that may lead to lower product quality in addition to an displacements in the insert-molded part due to plastic shrinkage is pointed out. This paper will report about the importance of the previous injection molding CAE for actual fabrication to investigate the product shape design and molding conditions.

Technical Study on Neural Network Intelligent Setting for GAIM Processing Parameters

2010 ◽  
Vol 102-104 ◽  
pp. 796-800
Author(s):  
Bing Quan Wang ◽  
Zheng Wei Zhang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Injection Molding ◽  
Processing Parameters ◽  
Software Platform ◽  
Experimental Parameters ◽  
Technical Study ◽  
Artificial Neural ◽  
Cae Simulation

The defects in gas-assisted injection molding are mainly caused by processing parameters improper adjustment. The model for artificial neural network was developed, and was trained through the software platform MATLAB. By the bridle-wise network, the experimental parameters could be set quickly and intelligently. The correctness of these parameters was validated by CAE simulation.

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