Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method
Design of Experiments (DoE) is a powerful guiding tool that can help researchers to identify the main variables that affect the performance characteristics. The present paper elaborates on the optimization and prediction of reaction parameters like type of plastic, catalyst, and temperature using Ta...
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| Format: | Article |
| Language: | English |
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Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR
2020-04-01
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| Series: | Iranian Journal of Chemistry & Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.ijcce.ac.ir/article_33965_7552939c5bccd5f3413e51edd94f53fc.pdf |
| _version_ | 1819239422298685440 |
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| author | Gopinath S Devan P.K.. |
| author_facet | Gopinath S Devan P.K.. |
| author_sort | Gopinath S |
| collection | DOAJ |
| description | Design of Experiments (DoE) is a powerful guiding tool that can help researchers to identify the main variables that affect the performance characteristics. The present paper elaborates on the optimization and prediction of reaction parameters like type of plastic, catalyst, and temperature using Taguchi’s L9 orthogonal array method with three levels and three parameters to obtain the highest yield of plastic oil. To determine the effect of each parameter, the Signal to Noise (S/N) ratio was calculated based on the experiments conducted. In this investigation, contributions of reaction parameters were analyzed by Analysis of Variance (ANOVA) using statistical software Minitab-16. Based on the investigation, the reaction parameters like type of plastic: Low-Density Polyethylene (LDPE), catalyst: Silica alumina (SA), and temperature: 500°C are optimized to get the better yield of oil. Based on the confirmatory trial, the oil yield of about 95.4%, the gas yield of about 3.4%, and solid residue as 1.2% were obtained, which is better than the normal trails. |
| first_indexed | 2024-12-23T13:51:52Z |
| format | Article |
| id | doaj.art-2b957180e3124f3499321ce59f3bdae6 |
| institution | Directory Open Access Journal |
| issn | 1021-9986 1021-9986 |
| language | English |
| last_indexed | 2024-12-23T13:51:52Z |
| publishDate | 2020-04-01 |
| publisher | Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR |
| record_format | Article |
| series | Iranian Journal of Chemistry & Chemical Engineering |
| spelling | doaj.art-2b957180e3124f3499321ce59f3bdae62022-12-21T17:44:34ZengIranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECRIranian Journal of Chemistry & Chemical Engineering1021-99861021-99862020-04-013929110310.30492/ijcce.2020.3396533965Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi MethodGopinath S0Devan P.K..1Department of Mechanical Engineering, R M K College of Engineering and Technology, Puduvoyal, Tamil Nadu, 601206 INDIADepartment of Mechanical Engineering, R M K College of Engineering and Technology, Puduvoyal, Tamil Nadu, 601206 INDIADesign of Experiments (DoE) is a powerful guiding tool that can help researchers to identify the main variables that affect the performance characteristics. The present paper elaborates on the optimization and prediction of reaction parameters like type of plastic, catalyst, and temperature using Taguchi’s L9 orthogonal array method with three levels and three parameters to obtain the highest yield of plastic oil. To determine the effect of each parameter, the Signal to Noise (S/N) ratio was calculated based on the experiments conducted. In this investigation, contributions of reaction parameters were analyzed by Analysis of Variance (ANOVA) using statistical software Minitab-16. Based on the investigation, the reaction parameters like type of plastic: Low-Density Polyethylene (LDPE), catalyst: Silica alumina (SA), and temperature: 500°C are optimized to get the better yield of oil. Based on the confirmatory trial, the oil yield of about 95.4%, the gas yield of about 3.4%, and solid residue as 1.2% were obtained, which is better than the normal trails.http://www.ijcce.ac.ir/article_33965_7552939c5bccd5f3413e51edd94f53fc.pdfanovaorthogonal arrayplastic oilpyrolysistaguchi’s doe |
| spellingShingle | Gopinath S Devan P.K.. Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method Iranian Journal of Chemistry & Chemical Engineering anova orthogonal array plastic oil pyrolysis taguchi’s doe |
| title | Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method |
| title_full | Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method |
| title_fullStr | Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method |
| title_full_unstemmed | Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method |
| title_short | Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis oil Production Using Taguchi Method |
| title_sort | optimization and prediction of reaction parameters of plastic pyrolysis oil production using taguchi method |
| topic | anova orthogonal array plastic oil pyrolysis taguchi’s doe |
| url | http://www.ijcce.ac.ir/article_33965_7552939c5bccd5f3413e51edd94f53fc.pdf |
| work_keys_str_mv | AT gopinaths optimizationandpredictionofreactionparametersofplasticpyrolysisoilproductionusingtaguchimethod AT devanpk optimizationandpredictionofreactionparametersofplasticpyrolysisoilproductionusingtaguchimethod |