Optimization of plastic injection molding process parameters for cowl B (L/R) sink mark defects by using Taguchi methods and ANOVA
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| 1. | Title | Title of document | Optimization of plastic injection molding process parameters for cowl B (L/R) sink mark defects by using Taguchi methods and ANOVA |
| 2. | Creator | Author's name, affiliation, country | Eko Ari Wibowo; Universitas Muhammadiyah Gombong, Kebumen, Jawa Tengah; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Muhammad Nur Wahyu Hidayah; Universitas Muhammadiyah Gombong, Kebumen, Jawa Tengah; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Rohmat Setiawan; Astra Polytechnic, JBekasi, Jawa Barat; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Yohanes Trijoko Wibowo; Astra Polytechnic, Bekasi, Jawa Barat; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Bonaventura Lingga Krisna; Astra Polytechnic, Bekasi, Jawa Barat; Indonesia |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | ANOVA; injection parameters; sink mark; Taguchi method; ANOVA |
| 4. | Description | Abstract | The plastic injection molding process on Cowl B (L/R) products that have been carried out has sink mark defects. The defects that arise occur because the composition of injection molding parameter values is not optimal in the variables of melt temperature, mold temperature, packing time, packing pressure, and cooling time. The purpose of this study is to find the optimal composition of parameter values for each variable, to minimize sink mark defects in the product. The analysis process begins with the preparation of an orthogonal array matrix to determine the design parameters to be simulated on Autodesk mold flow. These results are evaluated with a signal-to-noise ratio to determine the effect of each parameter value composition on the results of the analysis process. The Analysis of Variance (ANOVA) method is used to estimate the contribution of each independent variable to all response measurements (the dependent variable). The optimization results for sink mark defects in the sink mark index value of 1.4494%, volumetric shrinkage of 0.5053%, and sink mark estimate of 0.0608 mm are found in the composition of the parameter values of melt temperature 200°C, mold temperature 80°C, packing time 30 seconds, packing pressure 80 MPa and a cooling time of 13,365 seconds. This data is used as a reference in determining parameters before production is carried out on plastic injection molding machines so that the time and cost of testing the injection molding process are optimal. |
| 5. | Publisher | Organizing agency, location | Universitas Mercu Buana |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2023-08-05 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | https://publikasi.mercubuana.ac.id/index.php/oe/article/view/18704 |
| 10. | Identifier | Digital Object Identifier (DOI) | http://dx.doi.org/10.22441/oe.2023.v15.i1.069 |
| 11. | Source | Title; vol., no. (year) | Operations Excellence: Journal of Applied Industrial Engineering; Vol. 15, No. 1, (2023): OE March 2023 |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2023 Operations Excellence: Journal of Applied Industrial Engineering This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. |