LAPSE:2023.5052
Published Article

LAPSE:2023.5052
Optimization of Compression Molding Process Parameters for NFPC Manufacturing Using Taguchi Design of Experiment and Moldflow Analysis
February 23, 2023
Abstract
This paper presents the application of Taguchi design of experiment and Autodesk Moldflow® simulation in finding the optimal processing parameters for the manufacturing of natural fiber−polymer composite products. The material used in the study is a composite of recycled thermoplastic reinforced with 10% wood fibers. For the study, four critical processing parameters, namely compression time, mold temperature, melt temperate, and pressure, were selected for optimization. Process analysis was carried out in Moldflow® utilizing a combination of process parameters based on an L9 orthogonal array. Later, the warpage output from Moldflow® simulation was converted into a signal-to-noise (S/N) ratio response, and the optimum values of each processing parameter were obtained using the smaller-the-better quality characteristic. The results show that the optimum values were 60 °C, 40 s, 210 °C, and 600 kN for the mold temperature, compression time, melt temperature, and pressure, respectively. Afterward, a confirmation test was performed to test the optimum parameters. Using analysis of variance (ANOVA), melt temperature was found to be the most significant processing parameter, followed by mold temperature, compression time, and pressure.
This paper presents the application of Taguchi design of experiment and Autodesk Moldflow® simulation in finding the optimal processing parameters for the manufacturing of natural fiber−polymer composite products. The material used in the study is a composite of recycled thermoplastic reinforced with 10% wood fibers. For the study, four critical processing parameters, namely compression time, mold temperature, melt temperate, and pressure, were selected for optimization. Process analysis was carried out in Moldflow® utilizing a combination of process parameters based on an L9 orthogonal array. Later, the warpage output from Moldflow® simulation was converted into a signal-to-noise (S/N) ratio response, and the optimum values of each processing parameter were obtained using the smaller-the-better quality characteristic. The results show that the optimum values were 60 °C, 40 s, 210 °C, and 600 kN for the mold temperature, compression time, melt temperature, and pressure, respectively. Afterward, a confirmation test was performed to test the optimum parameters. Using analysis of variance (ANOVA), melt temperature was found to be the most significant processing parameter, followed by mold temperature, compression time, and pressure.
Record ID
Keywords
compression molding, design of experiment, Moldflow, Optimization, process parameters
Subject
Suggested Citation
Chauhan V, Kärki T, Varis J. Optimization of Compression Molding Process Parameters for NFPC Manufacturing Using Taguchi Design of Experiment and Moldflow Analysis. (2023). LAPSE:2023.5052
Author Affiliations
Chauhan V: Department of Mechanical Engineering, LUT University, 53851 Lappeenranta, Finland [ORCID]
Kärki T: Department of Mechanical Engineering, LUT University, 53851 Lappeenranta, Finland
Varis J: Department of Mechanical Engineering, LUT University, 53851 Lappeenranta, Finland
Kärki T: Department of Mechanical Engineering, LUT University, 53851 Lappeenranta, Finland
Varis J: Department of Mechanical Engineering, LUT University, 53851 Lappeenranta, Finland
Journal Name
Processes
Volume
9
Issue
10
First Page
1853
Year
2021
Publication Date
2021-10-19
ISSN
2227-9717
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Original Submission
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PII: pr9101853, Publication Type: Journal Article
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LAPSE:2023.5052
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https://doi.org/10.3390/pr9101853
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Feb 23, 2023
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