Analysis of Warpage and Optimization of Parameter for Thin-Wall Plastic Part Moldflow-Based Software

2013 ◽  
Vol 377 ◽  
pp. 133-137 ◽  
Author(s):  
Qiu Hua Sun ◽  
Ming Wei Wang ◽  
Ren Pan ◽  
Wen Xin ◽  
Hong Yan Lv
Keyword(s):  
Three Dimensional ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Thin Wall ◽  
Three Dimensional Model ◽  
Molding Process ◽  
Melt Temperature ◽  
Bottom Cover ◽  
Plastic Parts ◽  
Press Time

The injection molding process of plastic parts is simulated and analyzed through a three-dimensional model of bottom cover of USB (Universal Serial Bus) extender obtained by Pro/E software and MPI module of Moldflow software. Orthogonal test is applied to analyze the influence of press time, press pressure, mold temperature and melt temperature on the warpage of plastic parts. Those being influenced by factors above are listed in order as press pressure, melt tempreture, mold tempreture and press time. The optimum parameters are obtained by analyzing effect trend that the four factors can influence on warpage.

Optimization of the Injection Molding Process Parameters Based on Moldflow and Orthogonal Experiment

2013 ◽  
Vol 561 ◽  
pp. 239-243 ◽  
Author(s):  
Yong Nie ◽  
Hui Min Zhang ◽  
Jia Teng Niu
Keyword(s):  
Injection Molding ◽  
Orthogonal Experiment ◽  
Mold Temperature ◽  
Processing Parameters ◽  
Influential Factors ◽  
Injection Molding Process ◽  
Range Analysis ◽  
Molding Process ◽  
Melt Temperature ◽  
Plastic Parts

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.

Performance Predictor for Thin-Wall Plastic Parts Produced by Injection Molding

2000 ◽  
Author(s):  
H. P. Wang ◽  
Sreeganesh Ramaswamy ◽  
Irene Dris ◽  
Erin M. Perry ◽  
Dominic Gao
Keyword(s):  
Injection Molding ◽  
Process Development ◽  
Injection Molding Process ◽  
Thin Wall ◽  
Molding Process ◽  
Melt Temperature ◽  
Shear Degradation ◽  
Development Cycle ◽  
Filling Time ◽  
Plastic Parts

Abstract The objective of this work was to develop a numerical simulation tool that is able to predict the processing window for thin-wall plastic parts made by the injection molding process. This performance predictor links the processing conditions (filling time, resin inlet melt temperature, and so on) to the mechanical properties and failure mechanisms of the part, using empirical data developed for the thermal and shear degradation behavior of the resin. Usage of such a performance predictor will help to expedite the long process development cycle time and to reduce the potentially expensive tooling costs associated with the thin-wall segment of the plastics business.

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

The simulation of the warpage rule of the thin-walled part of polypropylene composite based on the coupling effect of mold deformation and injection molding process

2018 ◽  
Vol 25 (3) ◽  
pp. 593-601 ◽  
Author(s):  
Jixiang Zhang ◽  
Xiaoyi Yin ◽  
Fengzhi Liu ◽  
Pan Yang
Keyword(s):  
Injection Molding ◽  
Coupling Effect ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Plastic Part ◽  
Molding Process ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Thin Walled ◽  
Packing Time

Abstract Aiming at the problem that a thin-walled plastic part easily produces warpage, an orthogonal experimental method was used for multiparameter coupling analysis, with mold structure parameters and injection molding process parameters considered synthetically. The plastic part deformation under different experiment schemes was comparatively studied, and the key factors affecting the plastic part warpage were analyzed. Then the injection molding process was optimized. The results showed that the important order of the influence factors for the plastic part warpage was packing pressure, packing time, cooling plan, mold temperature, and melt temperature. Among them, packing pressure was the most significant factor. The optimal injection molding process schemes reducing the plastic part warpage were melt temperature (260°C), mold temperature (60°C), packing pressure (150 MPa), packing time (2 s), and cooling plan 3. In this situation, the forming plate flatness was better.

Application of Numerical Simulation in Optimizing Rubber Injection Molding Process

2013 ◽  
Vol 561 ◽  
pp. 390-394
Author(s):  
Hui Min Zhang ◽  
Jia Teng Niu ◽  
Lei Lei Dong
Keyword(s):  
Numerical Simulation ◽  
Production Efficiency ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Melt Flow ◽  
Molding Process ◽  
Melt Temperature ◽  
Numerical Simulation Methods ◽  
Quality Of Products

The rubber melt flow processes was studied through the numerical simulation methods. According to the two important factors of the melt temperature and mold temperature, the paper designs three plans, analyzed rubber melt flow front temperature, volume curing rate and volume curing rate at the end of filling in different melt temperature and mold temperature and found the best solution, so that curing time was shorten and production efficiency was improved under the precondition of filling smoothly mold and ensuring quality of products.

Numerical and Experimental Study on the Injection Moulding of a Thin-Wall Complex Part

2008 ◽  
Author(s):  
Catalin Fetecau ◽  
Ion Postolache ◽  
Felicia Stan
Keyword(s):  
Injection Molding ◽  
Injection Pressure ◽  
Mold Temperature ◽  
Processing Parameters ◽  
Injection Molding Process ◽  
Thin Wall ◽  
Molding Process ◽  
Complex Part ◽  
Filling Time ◽  
Wall Injection

The research presented in this paper involves numerical and experimental efforts to investigate the relative thin-wall injection molding process in order to obtain high dimensional quality complex parts. To better understand the effects of various processing parameters (the filling time, injection pressure, the melting temperature, the mold temperature) on the injection molding of a thin-wall complex part, the molding experiments are regenerated into the computer model using the Moldflow Plastics Insight (MPI) 6.1 software. The computer visualization of the filling phase allows accurate prediction of the location of the flow front, welding lines and air traps. Furthermore, in order to optimize the injection molding process, the effects of the geometry of the runner system on the filling and packing phases are also investigated. It is shown that computational modeling could be used to help the process and mold designer to produce accurate parts.

Influence of Injection Molding Process Parameters on Sink Marks of Injection Parts Based on Moldflow

2013 ◽  
Vol 347-350 ◽  
pp. 1163-1167
Author(s):  
Ling Bai ◽  
Hai Ying Zhang ◽  
Wen Liu
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Processing Parameters ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Sink Marks ◽  
Research Show

Moldflow software was used to obtain the best gate location and count. Influence of injection molding processing parameters on sink marks of injection-piece was studied based on orthogonal test. The effects of different process parameters were analyzed and better process parameters were obtained. Results of research show that decreasing melt temperature, mold temperature, the increasing injection time and packing pressure can effectively reduce the sink marks index.

Optimization and Design for Parameter in Injection Molding Technology of Cell Shell of Polypropylene

2011 ◽  
Vol 189-193 ◽  
pp. 537-540
Author(s):  
Jia Min Zhang ◽  
Ming Yi Zhu ◽  
Zhao Xun Lian ◽  
Rong Zhu
Keyword(s):  
Injection Molding ◽  
Injection Pressure ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Technological Parameters ◽  
Molding Process ◽  
Melt Temperature ◽  
Injection Speed ◽  
Technical Parameters ◽  
High Degree

The use of L27 (35) orthogonal to the battery shell injection molding process is optimized. The main factors of technical parameters were determined mould temperature, melt temperature, the speed of injection, injection pressure, cooling time.On the basis of actual production, to determine the factors values of different process parameters.Combination of scrapped products in key (reduction and a high degree of tolerance deflated) tests were selected in the process parameters within the scope of the assessment. Various factors impact on the product of the total height followed by cooling time, mold temperature, melt temperature, injection pressure, injection speed from strong to weak .The best products technological parameters were determined.Good results were obtained for production.

Injection Molding Process Parameter Optimization for Warpage Minimization Based on Uniform Design of Experiment

2010 ◽  
Vol 37-38 ◽  
pp. 570-575 ◽  
Author(s):  
Bao Shou Sun ◽  
Zhe Chen ◽  
Bo Qin Gu ◽  
Xiao Diao Huang
Keyword(s):  
Injection Molding ◽  
Design Of Experiment ◽  
Simulation Analysis ◽  
Uniform Design ◽  
Mold Temperature ◽  
Optimization Method ◽  
Processing Parameters ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature

To optimize injection molding warpage, this paper applies the uniform design of experiment method to search for the optimal injection molding processing parameters. The warpage. simulation analysis is accomplished by emplying Moldflow software. The melt temperature, mold temperature, injection time and packing pressure are regarded as processing parameters, and processing parameters are optimized through establishing a regression equation, and the optimization result and influence factors are analyzed. The results show that uniform design of experiment can reduce number of experiments used effectively and the quality of the product is greatly improved by the optimization method.

Optimization of Injection Molding Process Parameters Based on Taguchi Design of Experiment

2012 ◽  
Vol 233 ◽  
pp. 335-338
Author(s):  
Xue Feng Li ◽  
Hong Bin Liu
Keyword(s):  
Design Of Experiment ◽  
Optimization Design ◽  
Mold Temperature ◽  
Taguchi Design ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Taguchi Design Of Experiment ◽  
Filling Time ◽  
Warpage Deformation

In this paper, circulating box cover is taken as the main object of the study with the application of Taguchi design of experiment and Moldflow software. The warpage deformation was obtained under different molding conditions including melt temperature, mold temperature, filling time and packing time. The influencing degree and trend of these parameters was studied by using the rang analysis, and the optimization set of factors was obtained. Experimental results show that the optimization design is effective and the warpage of the product reduce.

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