The application of fuzzy theory for the control of weld line positions in injection-molded part

Chen, Mei-Yung; Tzeng, Huan Wen; Chen, Yi Cheng; Chen, Shia Chung

doi:10.1016/j.isatra.2007.07.001

Cited by 29 publications

(11 citation statements)

References 14 publications

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“…Chen et al [25] investigated the effects of the process conditions on the weldline strength of ABS parts using the regression analysis. Chen et al [26] propose a fuzzy system to control the weldline positions. Lee and Kim [27] formed an objective function with the maximum injection pressure and maximum pressure difference among all the gates for an automobile dashboard model with weldline and shear stress constraints.…”

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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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

View full text Add to dashboard Cite

show abstract

“…See the references for a sampling of applications [1][2][3][4][5][6][7][8]. Most of the control system vendors offer a FLC product.…”

Section: Product Sourcesmentioning

confidence: 99%

Fuzzy Logic Control in Processes and Automation

Rhinehart¹

2011

Instrument Engineers' Handbook

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“…A robust adaptive backstepping controller is then designed to ensure that the tracking error falls within the prescribed performance bounds and that all other signals of the closed-loop systems are continuously bounded in some small residual set. The RFNN system, which provides the benefits of both recurrent neural networks (RNNs) [16,17] and fuzzy logic systems [18,19], was considered to compensate for a large number of complex terms and to avoid the complexity of the controller.…”

Section: Introductionmentioning

confidence: 99%

Recurrent fuzzy neural network backstepping control for the prescribed output tracking performance of nonlinear dynamic systems

Han

Lee

2014

ISA Transactions

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The application of fuzzy theory for the control of weld line positions in injection-molded part

Cited by 29 publications

References 14 publications

Interactive robust optimal design of plastic injection products with minimum weldlines

Interactive robust optimal design of plastic injection products with minimum weldlines

Fuzzy Logic Control in Processes and Automation

Recurrent fuzzy neural network backstepping control for the prescribed output tracking performance of nonlinear dynamic systems

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