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

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.

2013 ◽  
Vol 753-755 ◽  
pp. 1318-1323 ◽  
Author(s):  
Kwang Kyu Seo ◽  
Hong Kyu Kwon

In this research, Computer Aided Engineering (CAE) simulation was performed by using the simulation software (AnyCasting) in order to optimize casting design of an automobile part (Oil Pan_7G9E) which is well known and complicated to achieve a good casting layout. The simulation results were analyzed and compared carefully in order to apply them into the production die-casting mold. During the filling process, internal porosities caused by air entrap were predicted and reduced remarkably by the modification of the gate system and the configuration of overflow. With the solidification analysis, internal porosities caused by the solidification shrinkage were predicted and reduced by the modification of the gate system.


2013 ◽  
Vol 753-755 ◽  
pp. 928-931 ◽  
Author(s):  
Guo Qiang Zhang ◽  
Ji Qiang Zhai ◽  
Ting Hao ◽  
Wen Juan Wang ◽  
Xu Biao Yang ◽  
...  

Numerical simulation in the 200ml beverage can forming process was carried out by means of computer aided engineering. Beverage can drawing production process parameters and a forecast for the production process of all sorts of possible defects were obtained. Based on the results of the simulation, we can improve die structure and process method. Thus the development costs of die will be reduced. The manufacturing time of die will be shortened. The purpose of reducing the cost of production can be achieved ultimately.


2015 ◽  
Vol 9 (1) ◽  
pp. 416-421
Author(s):  
Chen Xiaoyong ◽  
Wang Qian

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.


2021 ◽  
Vol 36 (4) ◽  
pp. 459-467
Author(s):  
D. Sönmez ◽  
A. A. Eker

Abstract Injection compression molding (ICM) is a hybrid injection molding process for manufacturing polymer products with high precision and surface accuracy. In this study, a 3D flow simulation was employed for ICM and injection molding (IM) processes. Initially, the process parameters of IM and ICM were discussed based on the numerical simulations. The IM and ICM processes were compared via numerical simulation by using CAE tools of Moldflow software. The effect of process parameters of mold surface temperature, melting temperature, compression force and injection time on clamping force and pressure at the injection location of molded 3D BJ998MO Polypropylene (MFI 100) part was investigated by Taguchi analysis. In conclusion, it was found that the ICM has a relatively lower filling pressure than ICM, which results in reduced clamping force for producing a 3D thin-walled polymeric part.


2013 ◽  
Vol 658 ◽  
pp. 281-286 ◽  
Author(s):  
Kwang Kyu Seo ◽  
Hong Kyu Kwon

In this research, Computer Aided Engineering (CAE) simulation was performed by using the simulation software (Z-Cast) in order to optimize casting design of an automobile part (steering wheel housing) which is well known and complicated to achieve a good casting layout. The simulation results were analyzed and compared with experimental results. During the filling process, internal porosities caused by air entrap were predicted and reduced remarkably by the modification of the gate system and the configuration of overflow. With the solidification analysis, internal porosities caused by the solidification shrinkage were predicted and reduced by the modification of the gate system.


Polymers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1569
Author(s):  
Selim Mrzljak ◽  
Alexander Delp ◽  
André Schlink ◽  
Jan-Christoph Zarges ◽  
Daniel Hülsbusch ◽  
...  

Short glass fiber reinforced plastics (SGFRP) offer superior mechanical properties compared to polymers, while still also enabling almost unlimited geometric variations of components at large-scale production. PA6-GF30 represents one of the most used SGFRP for series components, but the impact of injection molding process parameters on the fatigue properties is still insufficiently investigated. In this study, various injection molding parameter configurations were investigated on PA6-GF30. To take the significant frequency dependency into account, tension–tension fatigue tests were performed using multiple amplitude tests, considering surface temperature-adjusted frequency to limit self-heating. The frequency adjustment leads to shorter testing durations as well as up to 20% higher lifetime under fatigue loading. A higher melt temperature and volume flow rate during injection molding lead to an increase of 16% regarding fatigue life. In situ Xray microtomography analysis revealed that this result was attributed to a stronger fiber alignment with larger fiber lengths in the flow direction. Using digital volume correlation, differences of up to 100% in local strain values at the same stress level for different injection molding process parameters were identified. The results prove that the injection molding parameters have a high influence on the fatigue properties and thus offer a large optimization potential, e.g., with regard to the component design.


2014 ◽  
Vol 1 (4) ◽  
pp. 256-265 ◽  
Author(s):  
Hong Seok Park ◽  
Trung Thanh Nguyen

Abstract Energy efficiency is an essential consideration in sustainable manufacturing. This study presents the car fender-based injection molding process optimization that aims to resolve the trade-off between energy consumption and product quality at the same time in which process parameters are optimized variables. The process is specially optimized by applying response surface methodology and using nondominated sorting genetic algorithm II (NSGA II) in order to resolve multi-object optimization problems. To reduce computational cost and time in the problem-solving procedure, the combination of CAE-integration tools is employed. Based on the Pareto diagram, an appropriate solution is derived out to obtain optimal parameters. The optimization results show that the proposed approach can help effectively engineers in identifying optimal process parameters and achieving competitive advantages of energy consumption and product quality. In addition, the engineering analysis that can be employed to conduct holistic optimization of the injection molding process in order to increase energy efficiency and product quality was also mentioned in this paper.


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