Quality monitoring of injection molding based on TSO-SVM and MOSSA
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Wenjie Ding
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Yonghuan Guo
Abstract
Based on the tuna swarm optimization-based support vector machine (TSO-SVM) and the multi-objective sparrow search algorithm (MOSSA), this paper proposes a multi-objective optimization approach for injection molding of thin-walled plastic components, addressing the issues of warpage deformation and volume shrinkage that compromise molding quality. Firstly, data samples are obtained based on the Box–Behnken experimental design and computer-aided engineering (CAE) simulation. Subsequently, SVM is employed to build a predictive model between the experimental factors and quality objectives. Additionally, the TSO is applied to optimize the hyperparameters of SVM, aiming to enhance its regression performance and prediction accuracy. Finally, the MOSSA is employed for multi-objective optimization, combined with the CRITIC scoring method for decision-making, to obtain the optimal combination of process parameters. The obtained parameters are then validated through simulation in Moldflow software. After optimization, the warpage deformation is reduced to 0.5085 mm, and the volume shrinkage rate is decreased to 7.573 %, representing a significant reduction of 40.9 % and 18.1 %, respectively, compared to the pre-optimized results. The remarkable improvement demonstrates the effectiveness of the method based on TSO-SVM and MOSSA for the efficient monitoring of the injection molding process.
Funding source: Jiangsu Normal University Graduate Research and Innovation Program
Award Identifier / Grant number: 2022XKT0372
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: No.52075231
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Research ethics: We affirm that this research adheres to the highest ethical standards.
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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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Competing interests: 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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Research funding: The authors sincerely appreciate the financial support of National Natural Science Foundation of China (no. 52075231) and Jiangsu Normal University Graduate Research and Innovation Program (2022XKT0372) for this research.
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Data availability: The data underlying this article will be shared on reasonable requestto the corresponding author.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Material Properties
- Research progress of metal organic framework materials in anti-corrosion coating
- Effect of gamma irradiation on tensile, thermal and wettability properties of waste coffee grounds reinforced HDPE composites
- Morphologies, structures, and properties on blends of triblock copolymers and linear low-density polyethylene
- Enhancement of the tribological and thermal properties of UHMWPE based ternary nanocomposites containing graphene and titanium titride
- Preparation and Assembly
- Preparation and property evaluation of poly(ε-caprolactone)/polylactic acid/perlite biodegradable composite film
- Engineering and Processing
- Predictive maintenance feasibility assessment based on nonreturn valve wear of injection molding machines
- Quality monitoring of injection molding based on TSO-SVM and MOSSA
- Location-controlled crazing in polyethylene using focused electron beams and tensile strain
- Annual Reviewer Acknowledgement
- Reviewer acknowledgement Journal of Polymer Engineering volume 43 (2023)
Articles in the same Issue
- Frontmatter
- Material Properties
- Research progress of metal organic framework materials in anti-corrosion coating
- Effect of gamma irradiation on tensile, thermal and wettability properties of waste coffee grounds reinforced HDPE composites
- Morphologies, structures, and properties on blends of triblock copolymers and linear low-density polyethylene
- Enhancement of the tribological and thermal properties of UHMWPE based ternary nanocomposites containing graphene and titanium titride
- Preparation and Assembly
- Preparation and property evaluation of poly(ε-caprolactone)/polylactic acid/perlite biodegradable composite film
- Engineering and Processing
- Predictive maintenance feasibility assessment based on nonreturn valve wear of injection molding machines
- Quality monitoring of injection molding based on TSO-SVM and MOSSA
- Location-controlled crazing in polyethylene using focused electron beams and tensile strain
- Annual Reviewer Acknowledgement
- Reviewer acknowledgement Journal of Polymer Engineering volume 43 (2023)
