Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology
The hike in fuel prices and rapid depletion of fuel reserves have compelled scientists to focus on energy conservation, environmental protection, engine performance improvement, and cost saving. The prime objective of the study is to compare the empirical results with response surface methodology (R...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23010249 |
| _version_ | 1797422591092195328 |
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| author | Muhammad Usman Muhammad Kashif Tariq Muhammad Ali Ijaz Malik Fahid Riaz Bashar Shboul Muhammad Usman Yasser Fouad Muhammad Imran Masood |
| author_facet | Muhammad Usman Muhammad Kashif Tariq Muhammad Ali Ijaz Malik Fahid Riaz Bashar Shboul Muhammad Usman Yasser Fouad Muhammad Imran Masood |
| author_sort | Muhammad Usman |
| collection | DOAJ |
| description | The hike in fuel prices and rapid depletion of fuel reserves have compelled scientists to focus on energy conservation, environmental protection, engine performance improvement, and cost saving. The prime objective of the study is to compare the empirical results with response surface methodology (RSM) optimized results in order to check the accuracy of model designed by RSM. Therefore, the current study examines the effect of fuel injection parameters (nozzle opening pressure and protrusion) on diesel engine performance and exhaust emissions. RSM technique was applied to predict engine performance and exhaust emission parameters along with their optimization. The brake thermal efficiency (BTE) was incremented by 1.23 % for protrusion from 1.5 to 2.5 mm under 240 bar nozzle opening pressure (NOP). BTE was increased by 0.94 and 4.51 % for 1.5 and 2.5 mm protrusion respectively. CO emission was decremented by 4.47 and 11.31 % for 1.5 and 2.5 mm protrusion respectively when the NOP changed from 230 to 240 bar. RSM model optimized input conditions 240 bar pressure, 2.5 mm protrusion, and 1935.67 engine rpm. The engine was again tested on RSM-optimized conditions and the highest absolute percentage error (APE) of 4.42 % was obtained for NOx emission, while the lowest APE of 2.89 % was obtained for BSFC. |
| first_indexed | 2024-03-09T07:34:31Z |
| format | Article |
| id | doaj.art-a9e434f1bb9f48a99649000e48e49e86 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-03-09T07:34:31Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-a9e434f1bb9f48a99649000e48e49e862023-12-03T05:41:27ZengElsevierCase Studies in Thermal Engineering2214-157X2023-12-0152103718Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodologyMuhammad Usman0Muhammad Kashif Tariq1Muhammad Ali Ijaz Malik2Fahid Riaz3Bashar Shboul4Muhammad Usman5Yasser Fouad6Muhammad Imran Masood7Department of Mechanical Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan; Corresponding author.Department of Mechanical Engineering, University of Engineering and Technology, Lahore, 54890, PakistanDepartment of Mechanical Engineering, Superior University, Raiwind Road, Lahore, PakistanMechanical Engineering Department, Abu Dhabi University, Abu Dhabi, P.O. Box 59911, United Arab Emirates; Corresponding author.Renewable Energy Engineering Department, Faculty of Engineering, Al Al-Bayt University, Mafraq, JordanDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore, 54890, PakistanCollege of Applied Mechanical Engineering, College of Applied Engineering, Muzahimiyah Branch, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Engineering and Aviation UHI Perth, Crieff Road, Perth, PH1 2NX, UKThe hike in fuel prices and rapid depletion of fuel reserves have compelled scientists to focus on energy conservation, environmental protection, engine performance improvement, and cost saving. The prime objective of the study is to compare the empirical results with response surface methodology (RSM) optimized results in order to check the accuracy of model designed by RSM. Therefore, the current study examines the effect of fuel injection parameters (nozzle opening pressure and protrusion) on diesel engine performance and exhaust emissions. RSM technique was applied to predict engine performance and exhaust emission parameters along with their optimization. The brake thermal efficiency (BTE) was incremented by 1.23 % for protrusion from 1.5 to 2.5 mm under 240 bar nozzle opening pressure (NOP). BTE was increased by 0.94 and 4.51 % for 1.5 and 2.5 mm protrusion respectively. CO emission was decremented by 4.47 and 11.31 % for 1.5 and 2.5 mm protrusion respectively when the NOP changed from 230 to 240 bar. RSM model optimized input conditions 240 bar pressure, 2.5 mm protrusion, and 1935.67 engine rpm. The engine was again tested on RSM-optimized conditions and the highest absolute percentage error (APE) of 4.42 % was obtained for NOx emission, while the lowest APE of 2.89 % was obtained for BSFC.http://www.sciencedirect.com/science/article/pii/S2214157X23010249Fuel injection parametersDiesel engineOptimizationFilter smoke numberDesirability |
| spellingShingle | Muhammad Usman Muhammad Kashif Tariq Muhammad Ali Ijaz Malik Fahid Riaz Bashar Shboul Muhammad Usman Yasser Fouad Muhammad Imran Masood Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology Case Studies in Thermal Engineering Fuel injection parameters Diesel engine Optimization Filter smoke number Desirability |
| title | Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology |
| title_full | Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology |
| title_fullStr | Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology |
| title_full_unstemmed | Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology |
| title_short | Multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology |
| title_sort | multipurpose optimization of fuel injection parameters for diesel engine using response surface methodology |
| topic | Fuel injection parameters Diesel engine Optimization Filter smoke number Desirability |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X23010249 |
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