scholarly journals Application of Moldflow Simulation in Injection Molding of Plastic Tank

2017 ◽  
Vol 9 (1) ◽  
pp. 79-88
Author(s):  
Piotr Tutak
Keyword(s):  
Injection Molding ◽  
Simulation Software ◽  
Injection Molding Process ◽  
Development Cost ◽  
Molding Process ◽  
Improve Product ◽  
Air Cooler ◽  
Moldflow Simulation

Abstract This article presents an application of moldflow simulation to optimize the injection molding process of charge air cooler plastic tank. The work shows the advantages of this kind of simulation software and information that it can provide. It also explains how big role today play simulation softwares and how they can improve product and reduce development cost.

Optimization of Injection Molding Process Parameters with Material Properties Based on GA and BP

2013 ◽  
Vol 345 ◽  
pp. 586-590 ◽  
Author(s):  
Xiao Hong Tan ◽  
Lei Gang Wang ◽  
Wen Shen Wang
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Axial Deformation ◽  
Molding Process ◽  
Melt Temperature ◽  
Bp Network ◽  
Injection Parameters ◽  
Moldflow Simulation

To obtain optimal injection process parameters, GA was used to optimize BP network structure based on Moldflow simulation results. The BP network was set up which considering the relationship between volume shrinkage of plastic parts and injection parameters, such as mold temperature, melt temperature, holding pressure and holding time etc. And the optimal process parameters are obtained, which is agreed with actual results. Using BP network to predict injection parameters impact on parts quality can effectively reduce the difficulty and workload of other modeling methods. This method can be extended to other quality prediction in the process of plastic parts.Keyword: Genetic algorithm (GA);Neural network algorithm (BP);Injection molding process optimization;The axial deformation

Numerical Investigation on the Effect of Injection Pressure on Melt Front Pressure and Velocity Drop

2015 ◽  
Vol 786 ◽  
pp. 210-214
Author(s):  
M.S. Rusdi ◽  
Mohd Zulkifly Abdullah ◽  
A.S. Mahmud ◽  
C.Y. Khor ◽  
M.S. Abdul Aziz ◽  
...  
Keyword(s):  
Injection Molding ◽  
Cfd Simulation ◽  
Fluid Dynamic ◽  
Injection Pressure ◽  
Simulation Software ◽  
Mold Cavity ◽  
Injection Molding Process ◽  
Flow Profile ◽  
Molding Process ◽  
Injection Process

Computational Fluid Dynamic (CFD) was used to simulate the injection molding process of a tray. The study focuses on pressure distribution and velocity drop during the injection process. CFD simulation software ANSYS FLUENT 14 was utilized in this study. The melt front pressure in the mold cavity shows that it was affected by the shape of mold cavity and filling stage. The melt front pressure will decrease as the flow move further than the sprue but it will increase rapidly when the mold was about to be fully filled. The slight pressure drop was detected when the molten flow meets the rib of the tray. The velocity of higher injection pressure was greater than the lower injection pressure but the velocity rapidly dropped when the melt front fully filled the cavity. The current predicted flow profile was validated by the experimental results, which demonstrates the excellent capability of the simulation tool in solving injection-molding problems.

scholarly journals Optimization for Reducing Warpage in Injection Moulding

2018 ◽  
Vol 2 (5) ◽  
pp. 25-31
Author(s):  
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Large Scale ◽  
Simulation Software ◽  
Optimum Process ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Product Cycles ◽  
Filling Time

Injection molding is a standout technique utilized for the fabrication of thermoplastic parts in industry due to short product cycles, high part quality, good mechanical properties and low cost for large scale manufacturing. In molded case circuit breaker (MCCB), Trip-bar is one of the most critical components as safety is concerned which is manufactured by injection molding process. To get it manufactured within the specified warpage and deformities free, number of mold flow simulations is carried out using Creo-MoldFlow. The outcomes of the simulation are used to design the mold tool and the process parameters for injection molding are optimized. For process parameter optimization Taguchi based experimental design and ANOVA analysis is done. The objective of this work is to optimize the injection molding process parameters such as filling time, melt temperature and mold temperature to minimize the warpage. CAE flow simulation software is used to simulate the process and Grey Relational Analysis (GRA) is used to find out optimum process parameters.

Gate Location and its Impact to Flowing Characteristics of Plastic Moldings

2015 ◽  
Vol 669 ◽  
pp. 36-43 ◽  
Author(s):  
Jozef Dobránsky ◽  
Luboš Bĕhálek ◽  
Petr Baron
Keyword(s):  
Injection Molding ◽  
Simulation Analysis ◽  
Simulation Software ◽  
Injection Molding Process ◽  
Flow Properties ◽  
Molding Process ◽  
Gate Location ◽  
Starting Position ◽  
Complex Shapes ◽  
Plastic Injection

Paper deals with simulation analysis of thermoplastic flowing in plastics product. As there is a demand in plastic products, plastic industries are growing in a fastest rate. Hence plastic injection molding process begins in manufacturing of complex shapes, in this process optimum gate location is one of the important criteria in mold design. Knowledge of ideal flow properties of thermoplastic materials give us a very good starting position for design of thermoplastics products which will be made by injection molding. By simulation software Plastic Advisor was compared injection parameters for the mold with varying gate locations. Simulated thermoplastic product is made from polycarbonate and is using for the drum washing machine as console window.

Injection Molding Process Optimization of Multi-Objective Based on MUD-RBFNN-GA

2010 ◽  
Vol 37-38 ◽  
pp. 564-569
Author(s):  
Bao Shou Sun ◽  
Zhe Chen ◽  
Bo Qin Gu ◽  
Xiao Diao Huang
Keyword(s):  
Injection Molding ◽  
Process Optimization ◽  
Simulation Analysis ◽  
Weld Line ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Multi Objective ◽  
Uniform Designs ◽  
Moldflow Simulation

The optimization algorithm of MUD-RBFNN-GA was proposed in this article. An injection molding process optimization model of multi-factor and multi-objective was also researched. The multiple uniform designs of experiment was applied to optimize the processing parameters. During this process, the RBF neural network was established, where the melt temperature, mold temperature and packing pressure were taken as the inputs, and warpage, area of air-traps and weld-line length as the outputs, and the Moldflow simulation analysis was used to obtain the output values. By combining the algorithm with genetic algorithm and global optimization in the networks, we can get the optimal process parameters. The results show that the multi-objective optimization based on MUD-RBFNN-GA is practically applicable, and it can reduce the molding defects effectively.

Design for Injection Molding: Using Process Simulation to Assess Tolerance Feasibility

1994 ◽  
Author(s):  
David R. Busick ◽  
Kurt A. Beiter ◽  
Kos Ishii
Keyword(s):  
Injection Molding ◽  
Process Simulation ◽  
Process Variations ◽  
Simulation Software ◽  
Injection Molding Process ◽  
Molding Process ◽  
Injection Molding Simulation ◽  
Injection Molded ◽  
Effective Use ◽  
Dimensional Errors

Abstract This paper proposes an effective use of process simulation in the dimensional tolerancing of injection molded thermoplastic components. The complexities of the injection molding process make it difficult for designers to assign dimensional tolerances. No standard method exists for predicting the feasibility of a design tolerance. Advances in injection molding simulation software offer information that could aid in tolerancing. However, engineers have not effectively used these programs for tolerancing. This paper proposes a methodology for using process simulation in evaluating the feasibility of a tolerance scheme. The methodology entails using simulation to quantify the dimensional errors due to process variations and estimate sensitivities. Comparison of simulation results with tolerances specified by designers helps them evaluate whether the desired tolerances are feasible. The paper describes the steps required for estimating the dimensional errors and defines criticality as a measure of tolerance feasibility. A plastic housing for an electrical switch serves as an illustrative example.

Filling Behavior of Polymer Material into Sub-^|^mu;m Structure in Injection Molding Process

2013 ◽  
Vol 133 (4) ◽  
pp. 105-111
Author(s):  
Chisato Yoshimura ◽  
Hiroyuki Hosokawa ◽  
Koji Shimojima ◽  
Fumihiro Itoigawa
Keyword(s):  
Injection Molding ◽  
Polymer Material ◽  
Injection Molding Process ◽  
Molding Process
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