Optimization of Part Wall Thicknesses to Reduce Warpage of Injection-Molded Parts Based on The Modified Complex Method

Lee, B. H.; Kim, B. H.

doi:10.1080/03602559508009600

Cited by 95 publications

(37 citation statements)

References 3 publications

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“…Numerous research has been conducted on the warpage of thin shell plastic parts [1][2][3][4][5]. However, very few of them are devoted to the optimization of such parts [6,7].…”

Section: Introductionmentioning

confidence: 99%

Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm

Kurtaran

Erzurumlu

2005

Int J Adv Manuf Technol

154

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During the production of thin shell plastic parts by injection molding, warpage depending on the process conditions is often encountered. In this study, efficient minimization of warpage on thin shell plastic parts by integrating finite element (FE) analysis, statistical design of experiment method, response surface methodology (RSM), and genetic algorithm (GA) is investigated. A bus ceiling lamp base is considered as a thin shell plastic part example. To achieve the minimum warpage, optimum process condition parameters are determined. Mold temperature, melt temperature, packing pressure, packing time, and cooling time are considered as process condition parameters. FE analyses are conducted for a combination of process parameters organized using statistical three-level full factorial experimental design. The most important process parameters influencing warpage are determined using FE analysis results based on analysis of variance (ANOVA) method. A predictive response surface model for warpage data is created using RSM. The response surface (RS) model is interfaced with an effective GA to find the optimum process parameter values.

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“…Numerous research has been conducted on the warpage of thin shell plastic parts [1][2][3][4][5]. However, very few of them are devoted to the optimization of such parts [6,7].…”

Section: Introductionmentioning

confidence: 99%

Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm

Kurtaran

Erzurumlu

2005

Int J Adv Manuf Technol

154

View full text Add to dashboard Cite

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“…They are not capable of directly improving design. To address this problem, a number of optimisation algorithms have been proposed based on the utilisation of the simulation software, such as gate location optimisation [6,7], feed system optimisation [3], moulding condition optimisation [8], cavity balancing [9], and part thickness optimisation [10]. These optimisation algorithms require iterative executions of simulation routines.…”

Section: Introductionmentioning

confidence: 99%

Towards automatic shape modification in injection-moulded-plastic-part design

Deng

Lam

Britton

2005

Int J Adv Manuf Technol

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Injection-moulded-plastic-part design must ensure that the part can be manufactured to the desired quality level by the injection moulding process. Simulation software has been widely used in industry to assess mouldability and measures of quality. However, it cannot be used to improve a design directly. Design modifications must be performed by the designer after evaluation of the simulation results. Based on the authors' previous work on injection moulding CAD-CAE integration, this paper explores the strategies and methods for automatic-partshape-modification to attain a desired part quality. An enhanced CAD-CAE integration model is developed. This model is used to specify the shape-modification variables, as well as the mouldability and other quality measuring criteria. The shape modification variables include positional and sizing parameters of each individual feature, as well as those associated with the part, such as part thickness. With this information, an iterative process of part-shape modification and execution of simulation subroutines is carried out automatically, and the results are verified and evaluated. Optimal shape, according to the specified criteria can thus be derived from the evaluation results. A software prototype has been developed. A design case study is presented to illustrate and demonstrate the usefulness of the proposed strategies and methods.

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“…Recently, with the development of the numerical simulation and intelligent technology, some progress towards the design of injection moulding process has been made. Lee and Kim used a modified complex method to reduce warpage by adjusting the thickness of different surfaces [1]. Seow proposed an approach to balancing the mould cavity based on numerical simulation.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Plastic Injection Moulding Process with Soft Computing

Shi

Lou

Zhang

et al. 2003

The International Journal of Advanced Manufacturing Technology

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The paper presents a hybrid strategy in a soft computing paradigm for the optimisation of the plastic injection moulding process. Various plastic injection molding process parameters, such as mold temperature, melt temperature, injection time and injection pressure are considered. The hybrid strategy combines numerical simulation software, a genetic algorithm and a multilayer neural network to optimise the process parameters. An approximate analysis model is developed using a Back-propagation neural network in order to avoid the expensive computation resulting from the numerical simulation software. According to the characteristic of the optimisation problem, a nonbinary genetic algorithm is applied to solve the optimisation model. The effectiveness of the improved strategy is shown by an example.

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Optimization of Part Wall Thicknesses to Reduce Warpage of Injection-Molded Parts Based on The Modified Complex Method

Cited by 95 publications

References 3 publications

Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm

Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm

Towards automatic shape modification in injection-moulded-plastic-part design

Optimisation of Plastic Injection Moulding Process with Soft Computing

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