Quality prediction and control of thin-walled shell injection molding based on GWO-PSO, ACO-BP, and NSGA-II
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Dezhao Wang
,
Yonghuan Guo
Abstract
ECG recorders are precision medical devices, but their thin-walled shells are susceptible to warpage and shrinkage during injection molding production due to the injection molding process, which greatly shortens their service life. To address this problem, a multiobjective optimization method for injection molding process parameters based on a combination of a BP neural network model optimized by an ant colony algorithm (ACO-BP) and an improved non-dominated sorting genetic algorithm (NSGA-II) is proposed. The study takes the warpage deformation amount and volume shrinkage rate of the plastic part as the optimization objectives, and the melt temperature, mold temperature, injection pressure, holding pressure, holding time, and cooling time as the design variables. However, for BP neural networks, it is crucial to choose an appropriate number of hidden layer neurons, so the particle swarm algorithm combined with the grey wolf algorithm (GWO-PSO) is used to solve for the optimal number of hidden layer neurons. Firstly, the number of hidden layer neurons of the BP network model was solved based on the samples obtained from the Box–Behnken experimental design and the GWO-PSO algorithm, and the ACO-BP algorithm was used to build the prediction models for warpage and volume shrinkage, respectively, and then combined with NSGA-II for global optimisation. The pareto optimal solution set was subjected to CRITIC analysis and the optimal process parameters were finally obtained, with a minimum warpage of 0.3293 mm and minimum volume shrinkage of 4.993%, a reduction of 8.93 and 6.95% respectively compared to the pre-optimisation period. At the same time, injection molding tests were carried out on the optimum process parameters, and it was found that the molding quality of the plastic parts was better and met the actual production requirements through measurement. The research in this paper provides a theoretical basis for further improving the quality defects of the thin-walled injection molded parts.
Funding source: Graduate Research Innovation Program of Jiangsu Normal University
Award Identifier / Grant number: 2021XKT0362
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 52075231
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: The authors would like to express sincere thanks to National Natural Science Foundation of China (no. 52075231) and Graduate Research Innovation Program of Jiangsu Normal University (2021XKT0362) for the financial support of this research.
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Conflict of interest statement: The authors declare that they have no financial and personal relationships with other people or organizations that can inappropriately influence their work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, this article.
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Articles in the same Issue
- Frontmatter
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- A comparative investigation on wear characteristics of polymer and biopolymer gears
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- Recent progress on the morphology and thermal cycle of phase change materials (PCMs)/conductive filler composites: a mini review
- Effect of tiny amount of DMC on thermal, mechanical, optical, and water resistance properties of poly(vinyl alcohol)
- Vibration and tribological properties of epoxy-granite composites used as novel foundations for machine elements
- Effect of lyocell fiber cross-sectional shape on structure and properties of lyocell/PLA composites
- Engineering and processing
- Quality prediction and control of thin-walled shell injection molding based on GWO-PSO, ACO-BP, and NSGA-II
- Doubly modified MWCNTs embedded in polyethersulfone (PES) ultrafiltration membrane and its anti-fouling performance
- Solid-state extrusion of polymers using simple shear deformation
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Articles in the same Issue
- Frontmatter
- Material properties
- Effect of nanodiamond particles on the structure, mechanical, and thermal properties of polymer embedded ND/PMMA composites
- A comparative investigation on wear characteristics of polymer and biopolymer gears
- Unsaturated polyester resin modified with a novel reactive flame retardant: effects on thermal stability and flammability
- Recent progress on the morphology and thermal cycle of phase change materials (PCMs)/conductive filler composites: a mini review
- Effect of tiny amount of DMC on thermal, mechanical, optical, and water resistance properties of poly(vinyl alcohol)
- Vibration and tribological properties of epoxy-granite composites used as novel foundations for machine elements
- Effect of lyocell fiber cross-sectional shape on structure and properties of lyocell/PLA composites
- Engineering and processing
- Quality prediction and control of thin-walled shell injection molding based on GWO-PSO, ACO-BP, and NSGA-II
- Doubly modified MWCNTs embedded in polyethersulfone (PES) ultrafiltration membrane and its anti-fouling performance
- Solid-state extrusion of polymers using simple shear deformation
- Molding process and properties of polyimide-fiber-fabric-reinforced polyether ether ketone composites
