Reducing the effects of weldlines on appearance of plastic products by Taguchi experimental method

Li, Hongsheng; Guo, Zhenbang; Li, Dequn

doi:10.1007/s00170-006-0411-z

Cited by 55 publications

(22 citation statements)

References 4 publications

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“…Reference [35] also exploited the L 9 experimental design to study the effect of processing parameters on the weldline of the right door of copy machine which was modelled with three gates. Four processing parameters including melt temperature, injection speed, and injection pressure were optimized to eliminate the weld-line on the plastic part.…”

Section: Standalone Taguchi Methodsmentioning

confidence: 99%

Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review

Fei

Mehat²,

Kamaruddin

2013

ISRN Industrial Engineering

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Determining the optimal processing parameter is routinely performed in the plastic injection moulding industry as it has a direct and dramatic influence on product quality and costs. In this volatile and fiercely competitive market, traditional trial-and-error is no longer sufficient to meet the challenges of globalization. This paper aims to review the research of the practical use of Taguchi method in the optimization of processing parameters for injection moulding. Taguchi method has been employed with great success in experimental designs for problems with multiple parameters due to its practicality and robustness. However, it is realized that there is no single technique that appears to be superior in solving different kinds of problem. Improvements are to be expected by integrating the practical use of the Taguchi method into other optimization approaches to enhance the efficiency of the optimization process. The review will shed light on the standalone Taguchi method and integration of Taguchi method with various approaches including numerical simulation, grey relational analysis (GRA), principal component analysis (PCA), artificial neural network (ANN), and genetic algorithm (GA). All the features, advantages, and connection of the Taguchi-based optimization approaches are discussed.

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Section: Standalone Taguchi Methodsmentioning

confidence: 99%

Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review

Fei

Mehat²,

Kamaruddin

2013

ISRN Industrial Engineering

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“…In this study, a feed-forward back-propagation-based ANN solver, although there are fewer guidelines on the optimal number of hidden nodes [38] . To find the optimal network that allows most accurate ANNs for fitting target, different numbers of hidden layers (1 and 2) and nodes (9)(10)(11)(12)(13)(14)(15) in every hidden layer were tested, and then, the bests were selected. The inputs were control factors from A to E in the levels of 1, 2 or 3 and the target was the shrinkage percentage, warpage or average of normalized shrinkage and warpage.…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

“…Taguchi orthogonal arrays were applied to study the contribution of process parameters and geometry [15,16] on weld line strength and appearance of plastic parts. Chang and Faison [17] studied the optimization of shrinkage for polystyrene, high density polyethylene and acrylonitrile-butadiene-styrene articles by Taguchi method and ANOVA.…”

mentioning

confidence: 99%

Warpage and Shrinkage Optimization of Injection-Molded Plastic Spoon Parts for Biodegradable Polymers Using Taguchi, ANOVA and Artificial Neural Network Methods

Oliaei,

Heidari,

Davachi

et al. 2016

Journal of Materials Science & Technology

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“…Zhou and Li [23] developed artificial neural networks to estimate the weldline properties quantitatively. Li et al [24] determined the optimal process conditions for minimizing the weldlines after analyzing the factors that affect the weldline appearance through experiments using Taguchi method. Chen et al [25] investigated the effects of the process conditions on the weldline strength of ABS parts using the regression analysis.…”

Section: Related Workmentioning

confidence: 99%

Interactive robust optimal design of plastic injection products with minimum weldlines

Kim

Park

Suh

et al. 2016

Int J Adv Manuf Technol

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A new robust optimal design methodology has been developed and applied to the design of plastic injection molding products. Taguchi's robust design method and an optimal design search algorithm are integrated with a commercial CAE simulation tool. A direct search-based optimization procedure is implemented with the considerations of process variations as well as uncontrollable noise variables. The Interactive Design Space Reduction Method (IDSRM) based on orthogonal arrays for design of experiments is developed as a general optimization tool. Using the system, designers can interactively adjust the design space during the searching process for the optimal solution based on the outcomes of the experiments. The developed methodology is applied to an industrial application: a molding process design of an automobile front bumper to minimize the weldline, a form defect of plastic parts. Compared with the initial design solution, the optimized design aided by the proposed methodology shows a more efficient and better result in terms of design robustness against process variations.

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Reducing the effects of weldlines on appearance of plastic products by Taguchi experimental method

Cited by 55 publications

References 4 publications

Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review

Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review

Warpage and Shrinkage Optimization of Injection-Molded Plastic Spoon Parts for Biodegradable Polymers Using Taguchi, ANOVA and Artificial Neural Network Methods

Interactive robust optimal design of plastic injection products with minimum weldlines

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