Predictive maintenance feasibility assessment based on nonreturn valve wear of injection molding machines
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Hao-Hsuan Tsou
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Jie-An Lin
Abstract
Predictive maintenance techniques are increasingly important in Industry 4.0; they can be applied to nonreturn valves to mitigate waste from improper replacement. To improve such predictive maintenance, this study used four nonreturn valves with different outer diameters to investigate the effects of wear on process variables and product quality under different process parameters. The results indicated that melt temperature (process parameter) had the most substantial influence on the amount of melt backflow. The process variables are the screw position at the end of the packing stage, the slope of the screw position during the packing stage, and peak pressure. The study investigated the influence of nonreturn valve wear on the entire molding process over different periods. The findings can be extended to prediction models for developing process windows and realizing the predictive maintenance of nonreturn valves in injection molding machines.
Funding source: National Science and Technology Council
Award Identifier / Grant number: 111-2221-E-992-007-MY2
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Research ethics: The local Institutional Review Board deemed the study exempt from review.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: The financial support provided by the National Science and Technology Council, Taiwan under project no. 111-2221-E-992-007-MY2 is gratefully acknowledged.
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Data availability: The raw data can be obtained on request from 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)
