Improving the combustion process by determining the optimum percentage of liquefied petroleum gas (LPG) via response surface methodology (RSM) in a spark ignition (SI) engine running on gasoline-LPG blends
dc.authorscopusid | 57204216513 | |
dc.authorscopusid | 57203723320 | |
dc.authorscopusid | 57223897850 | |
dc.authorscopusid | 57223898195 | |
dc.contributor.author | Şimşek, Süleyman | |
dc.contributor.author | Uslu, Samet | |
dc.contributor.author | Şimşek, Hatice | |
dc.contributor.author | Uslu, Gonca | |
dc.date.accessioned | 2022-05-11T14:07:21Z | |
dc.date.available | 2022-05-11T14:07:21Z | |
dc.date.issued | 2021 | |
dc.department | Meslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Makine ve Metal Teknolojileri Bölümü | |
dc.description.abstract | In the current research, it is aimed to determine the optimum ratio of liquefied petroleum gas (LPG) to be used efficiently in terms of performance and emissions in a spark-ignition (SI) engine running on gasoline-LPG blends with response surface methodology (RSM). To create the RSM model, LPG and engine load were selected as input variables, while performance and emission responses affected by input variables were selected as brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), carbon monoxide (CO), carbon dioxide (CO2), and hydrocarbon (HC). Analysis of variance (ANOVA) supported RSM analysis was performed according to the selected factors and responses, it was found that LPG had a significant effect on all responses. Moreover, it was concluded that BSFC and BTE are the most affected responses to LPG ratio change. Also, according to the optimization results, the optimum factor levels were determined as 35% and 2400 W for LPG and engine load, respectively. According to the verification study, the maximum error between the experimental results and the optimization results was found as 3.75%. As a result, it is concluded that the SI engine fueled with LPG can be successfully modeled with low error rates by using RSM. © 2021 Elsevier B.V. | |
dc.description.sponsorship | No financial support was received from any institution or organization for this study. | |
dc.identifier.doi | 10.1016/j.fuproc.2021.106947 | |
dc.identifier.issn | 0378-3820 | |
dc.identifier.scopus | 2-s2.0-85108676233 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1016/j.fuproc.2021.106947 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11776/5079 | |
dc.identifier.volume | 221 | |
dc.identifier.wos | WOS:000681271000002 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Şimşek, Hatice | |
dc.language.iso | en | |
dc.publisher | Elsevier B.V. | |
dc.relation.ispartof | Fuel Processing Technology | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | gasoline | |
dc.subject | LPG | |
dc.subject | optimization approach | |
dc.subject | response surface methodology | |
dc.subject | spark-ignition engine | |
dc.subject | Analysis of variance (ANOVA) | |
dc.subject | Atmospheric temperature | |
dc.subject | Brakes | |
dc.subject | Carbon dioxide | |
dc.subject | Carbon monoxide | |
dc.subject | Engines | |
dc.subject | Gas emissions | |
dc.subject | Gasoline | |
dc.subject | Ignition | |
dc.subject | Liquefied petroleum gas | |
dc.subject | Brake thermal efficiency | |
dc.subject | Engine load | |
dc.subject | Gas load | |
dc.subject | Input variables | |
dc.subject | Optimization approach | |
dc.subject | Performance and emissions | |
dc.subject | Petroleum gas | |
dc.subject | Response-surface methodology | |
dc.subject | Spark-ignition engine | |
dc.subject | Specific fuel consumption | |
dc.subject | Surface properties | |
dc.title | Improving the combustion process by determining the optimum percentage of liquefied petroleum gas (LPG) via response surface methodology (RSM) in a spark ignition (SI) engine running on gasoline-LPG blends | |
dc.type | Article |
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