Injection Molding Measurement and Analysis of a Plastic Part with Changes in Thickness Dimensions and Material Types

2006 ◽  
Vol 505-507 ◽  
pp. 175-180
Author(s):  
Rong Yuan Jou
Keyword(s):  
Injection Molding ◽  
Plastic Part ◽  
Measurement And Analysis

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.

Optimization of Injection Molding Parameters for Plastic Part Using Taguchi-TOPSIS Method

2011 ◽  
Vol 421 ◽  
pp. 440-443 ◽  
Author(s):  
Shie Chen Yang ◽  
Feng Che Tsai ◽  
Tsuo Fei Mao ◽  
Amine Ghali Benna ◽  
Ling You Huang
Keyword(s):  
Injection Molding ◽  
Volumetric Shrinkage ◽  
Prototype Model ◽  
Topsis Method ◽  
Plastic Part ◽  
Melt Temperature ◽  
Automobile Part ◽  
Finite Element Software ◽  
Injection Parameters ◽  
Outstanding Result

This paper reports an simulation study to improve the shrinkage of plastic automobile part by optimizing the injection molding parameters using the Taguchi-TOPSIS method. The Reverse Engineering(RE) and rapid prototyping (RP) technique were used to modelling and createing a prototype model of plastic automobile part. Employing the finite element software, MoldFlow Plastic Insight, the effect of injection parameters on the warpage and shrinkage of plastic part were examined carefully. The simulation results show that Taguchi-TOPSIS method provided an outstanding result for the optimization of injection parameters to produce minimum volumetric shrinkage. The injection parameter of melt temperature was the most significant parameter that influences the warpage and volumetric shrinkage for plastic automobile part in this study.

scholarly journals Deformation simulations of plastic parts with consideration of assembly constraints

Mechanik ◽  
2017 ◽  
Vol 90 (12) ◽  
pp. 1190-1192 ◽  
Author(s):  
Przemysław Poszwa ◽  
Marek Szostak
Keyword(s):  
Injection Molding ◽  
Plastic Part ◽  
Plastic Parts ◽  
Assembly Constraints

The paper deals with the influence of part assembly on deformation of plastic part produced with injection molding technology. Parts tend to deform because of non-uniform shrinkage, which can be predicted with CAE injection molding software. Calculations usually do not consider the application of the part. In this paper, several examples were used to present the influence of assembly on the shape of the part.

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

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.

Analysis of Volumetric Shrinkage and Optimization of Process Parameters in Injection Molding

2012 ◽  
Vol 217-219 ◽  
pp. 2065-2069 ◽  
Author(s):  
Ji Ping Chen ◽  
Zhi Ping Ding
Keyword(s):  
Injection Molding ◽  
Regression Model ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Processing Parameters ◽  
Volumetric Shrinkage ◽  
Plastic Part ◽  
Melt Temperature ◽  
Optimization Of Process Parameters ◽  
Design Variables

Based on experimental method of factorial design, numerical simulation of injection molding using Moldflow software has been done. The effects of the gate number-distribution, melt temperature, packing pressure, packing time, injection time, etc. on volumetric shrinkage and the two-way interactions among factors in injection molding of plastic part have been researched. The regression model for volumetric shrinkage of plastic part has been obtained through multiple linear regression analysis of the experimental data. The optimization model has been established to optimize processing parameters setting leading factors which effect volumetric shrinkage as design variables and regression model of volumetric shrinkage as objective function. The volumetric shrinkage value of plastic part is less than the minimum volumetric shrinkage value of the main experiment, which indicates that the method has a good practical value in engineering.

A new procedure for calculating cycle time in injection molding based on plastic part geometry recognition

2018 ◽  
Vol 98 (1-4) ◽  
pp. 441-477 ◽  
Author(s):  
Jorge Manuel Mercado-Colmenero ◽  
Miguel Angel Rubio-Paramio ◽  
Peter Karlinger ◽  
Cristina Martin-Doñate
Keyword(s):  
Injection Molding ◽  
Cycle Time ◽  
Plastic Part ◽  
Part Geometry
Sign in / Sign up

Export Citation Format

Share Document