Journal ArticleDOI
Multi-objective optimization of injection molding process parameters for short cycle time and warpage reduction using conformal cooling channel
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TLDR
In this article, the cooling performance of conformal cooling channel in plastic injection molding (PIM) is numerically and experimentally examined, and it is found from the numerical result that the cooling quality of the conformal channel is much improved compared to the conventional cooling channel.Abstract:
In this paper, cooling performance of conformal cooling channel in plastic injection molding (PIM) is numerically and experimentally examined. To examine the cooling performance, cycle time and warpage are considered. Melt temperature, injection time, packing pressure, packing time, cooling time, and cooling temperature are taken as the design variables. A multi-objective optimization of the process parameters is then performed. First, the process parameters of conformal cooling channel are optimized. Numerical simulation in the PIM is so intensive that a sequential approximate optimization using a radial basis function network is used to identify a pareto-frontier. It is found from the numerical result that the cooling performance of conformal cooling channel is much improved, compared to the conventional cooling channel. Based on the numerical result, the conformal cooling channel is developed by using additive manufacturing technology. The experiment is then carried out to examine the validity of the conformal cooling channel. Through numerical and experimental result, it is confirmed that the conformal cooling channel is effective to the short cycle time and the warpage reduction.read more
Citations
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Design for additive manufacturing: Framework and methodology
TL;DR: This paper presents a framework for DfAM methods and tools, subdivided into three distinct stages of product development: AM process selection, product redesign for functionality enhancement, and product optimization for the AM process chosen.
Journal ArticleDOI
Design and fabrication of conformal cooling channels in molds: Review and progress updates
TL;DR: Conformal cooling (CC) channels as discussed by the authors are a series of cooling channels that are equidistant from the mold cavity surfaces, they can provide more uniform and efficient cooling effects and thus improve the production quality and efficiency significantly.
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Monitoring and Control for Thermoplastics Injection Molding A Review
TL;DR: An overview of different studies related to research on the topic of monitoring and control systems for injection molding is given and why application of AI methods would be beneficial is explained.
Journal ArticleDOI
Design and optimization of conformal cooling channels for injection molding: a review
TL;DR: This review study presents the main design steps of CCCs and outlines the single- and multi-objective optimization procedures, so that clearer and effective CAE steps can be obtained for the designers before the on-site fabrication of C CCs.
Journal ArticleDOI
Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies
TL;DR: The objectives of this review paper are to provide an overview of recent additive manufacturing developments and current computer-aided design methodologies that can be applied to multimaterial, multiscale, multiform, and multifunctional AM technologies.
References
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Book
Nonlinear Multiobjective Optimization
TL;DR: This paper is concerned with the development of methods for dealing with the role of symbols in the interpretation of semantics.
Journal ArticleDOI
Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method
Changyu Shen,Lixia Wang,Qian Li +2 more
TL;DR: In this paper, a combining artificial neural network and genetic algorithm (ANN/GA) method is proposed to optimize the injection molding process, where a BP neural network model is developed to map the complex nonlinear relationship between process conditions and quality indexes of the injection molded parts, and a GA is used in the process conditions optimization with the fitness function based on an ANN model.
Journal ArticleDOI
Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm
Babur Ozcelik,Tuncay Erzurumlu +1 more
TL;DR: In this paper, the effects of process parameters for thin shell plastic part were exploited using both design of experiment (DOE), Taguchi orthogonal array and finite element software MoldFlow (FE).
Journal ArticleDOI
The effective factors in the warpage problem of an injection-molded part with a thin shell feature
Ming-Chih Huang,Ching-Chih Tai +1 more
TL;DR: In this article, the authors used the experimental design of Taguchi method to determine the injection molding conditions, and the injection processes were simulated using the commercial software C-MOLD™.
Journal ArticleDOI
Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part
TL;DR: In this article, the application of taguchi optimization technique to reduce warpage problem related to the shrinkage variation depended on process parameters during production of thin-shell plastic components for orthose part.
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