Research on effects of injection process parameters on the molding process for ultra-thin wall plastic parts

2007 ◽  
Vol 187-188 ◽  
pp. 668-671 ◽  
Author(s):  
M.C. Song ◽  
Z. Liu ◽  
M.J. Wang ◽  
T.M. Yu ◽  
D.Y. Zhao
2013 ◽  
Vol 377 ◽  
pp. 133-137 ◽  
Author(s):  
Qiu Hua Sun ◽  
Ming Wei Wang ◽  
Ren Pan ◽  
Wen Xin ◽  
Hong Yan Lv

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.


2011 ◽  
Vol 80-81 ◽  
pp. 375-378
Author(s):  
Jian Zhong Chu ◽  
Rong Song

Warping deformation is an important indicator to evaluate the performance of thin-wall Plastic. In this paper, using the CAE(computer aided engineering)technology and DOE(Design of experiment)in the thin-wall injection molding field, take a box-shaped thin-wall plastic parts for example, using the moldflow software to simulation analyze of the process parameters of injection molding. By analyzing the causes of plastic parts’ warpage, learn the holding pressure is a leading role in warping. Optimization of process parameters under the guidance of the orthogonal test, it can reduce the warpage of plastic parts effectively.


2018 ◽  
Vol 178 ◽  
pp. 02001 ◽  
Author(s):  
Adelina Hriţuc

The injection molding process is largely applied to obtain plastic parts. The problem of finding a simple equipment able to allow the study of the injection process was addressed in the research presented in this paper. Aiming to solve the problem, the main requests valid for the proposed equipment were formulated. Considering some possible versions of the equipment subassemblies, the ideas diagram method and the method of imposed decision were applied to select the most convenient version of the injection equipment. As a result, a constructive solution for a simple injection molding equipment that could be used to develop some experimental researches was identified.


Polymers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 4093
Author(s):  
Somen K. Bhudolia ◽  
Pavel Perrotey ◽  
Goram Gohel ◽  
Sunil C. Joshi ◽  
Pierre Gerard ◽  
...  

The bladder molding process is primarily used in sporting applications but mostly with prepregs. Bladder-Assisted Resin Transfer Molding (B-RTM) presents the tremendous potential to automate and mass produce the complex hollow-composite profiles. Thin-ply, non-crimp fabrics (NCFs) provide excellent mechanical, fracture toughness, and vibration damping properties on top of the weight saving it offers to a final product. However, these fiber architectures are difficult to inject due to the resistance they provide for the polymer flow using the liquid injection process. Therefore, it is mandatory to optimize the process parameters to reduce the time for injection and simultaneously achieve better consolidation. This work presents a first, detailed, experimental case study to successfully inject a low-permeability, thin-ply, complex, thermoplastic tubular structure, and the effect of process parameters, boundary conditions, the associated manufacturing challenges, and proposed solutions are deliberated in this paper.


2011 ◽  
Vol 483 ◽  
pp. 53-57 ◽  
Author(s):  
Duo Yang ◽  
Chong Liu ◽  
Zheng Xu ◽  
Ji Zhang Wang ◽  
Li Ding Wang

Micro-channels were the main microstructures in most micro-fluidic devices. In this paper, the effects of injection molding process parameters on the replicability of micro-channels profile are studied. Orthogonal experiments (Taguchi method) are carried out to establish the relationship between injection process parameters and replication accuracy for various micro-channels. Experimental results show that mold temperature and packing pressure are the principal factors in molding process. The replication accuracy depends strongly on the processing conditions. The replication accuracy reached about 99.84% using the optimum parameters.


2011 ◽  
Vol 101-102 ◽  
pp. 254-257
Author(s):  
Hua Bo He ◽  
Fei Lin Wu ◽  
Yi Min Deng

By the combination of orthogonal experiments and moldflow simulation analysis, the warpage of a thin-wall injection molded parts is analyzed under the combined effects of multi-molding process parameters. By this method, it can gain the experiment data which can basically reflect the overall situation using fewer number of simulation analysis. In addition, the effects degree of different molding process parameters for warpage are researched, and the optimized parameter combination is obtained. It can avoid the one-sidedness of individual analysis of the various factors and solve the unreasonable appearance of process parameter settings. With the help of results, it can fasten the mold developing schedule, thus shorten the cycle of product development, and improve the quality of products and the competitive ability of enterprise.


Polimery ◽  
2021 ◽  
Vol 66 (5) ◽  
pp. 283-292
Author(s):  
Bo Wang ◽  
Anjiang Cai

Thin-walled plastic parts are susceptible to deformation during injection molding. Using the example of a notebook battery cover, optimization of the injection mold design and injection process parameters was performed with Moldflow software, which resulted in about 69% reduction of the deformations. Moreover, the uneven material shrinkage during the injection process has been shown to be the main cause of deformations of thin-walled plastic parts.


2000 ◽  
Author(s):  
H. P. Wang ◽  
Sreeganesh Ramaswamy ◽  
Irene Dris ◽  
Erin M. Perry ◽  
Dominic Gao

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.


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