Effect of α-aluminium oxide nano additives with Sal biodiesel blend as a potential alternative fuel for existing DI diesel engine
The increasing demand, rapid consumption, price increase, limited reserves, and environmental concern due to pollution produced by conventional fossil fuel (diesel & gasoline) are a few reasons why biofuels need to be explored. The present paper employs a systematic methodology to examine the pe...
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my.uthm.eprints.116662024-11-12T08:00:23Z http://eprints.uthm.edu.my/11666/ Effect of α-aluminium oxide nano additives with Sal biodiesel blend as a potential alternative fuel for existing DI diesel engine Sharma, Abhishek Singh Pali, Harveer Kumar, Manish Kumar Singh, Nishant Abd Rahim, Erween Singh, Yashvir Kumar Gupta, Naveen TP315-360 Fuel The increasing demand, rapid consumption, price increase, limited reserves, and environmental concern due to pollution produced by conventional fossil fuel (diesel & gasoline) are a few reasons why biofuels need to be explored. The present paper employs a systematic methodology to examine the performance of a 20% volumetric blend of Sal biodiesel (S20) blended with diesel using αaluminium oxide (α-Al2O3) nanoparticles (NP) as additives and is compared with a diesel under like circumstances. The central composite design, Box-Behnken design (BBD) based response surface methodology, and desirability tests are used in the organized experiments on a diesel engine configuration to facilitate calibration. The created multivariate regression model yields all of the best engine inputs. Interaction effects are used to determine the most influential element by observing the interaction of two distinct input factors on a single response. According to the desirability tests, the highest estimated desirability was 0.579; the optimal input parameters found are 21°bTDC injection timing (IT), 238 bar injection pressure (IOP), 17 compression ratio (CR), and 74 ppm concentration of α-Al2O3NP, estimated the optimized response of brake thermal efficiency (BHTE) 31.18%, brake specific fuel consumption (BSFC) 0.2975 kg/kWh, carbon monoxide (CO) 0.0887%, hydrocarbon (HC) 31 ppm, oxide of nitrogen (NOx) 677 ppm, and smoke level 54.92%. These predicted values were validated with experimental results, and errors were within the range. The nanoparticle combination sample offers improved brake thermal efficiency (BTHE) and lower BSFC rate than the S20 while testing for the optimal parametric condition. sage 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/11666/1/J15748_e20c6933a1ba8c63d0eecb4ea45f8444.pdf Sharma, Abhishek and Singh Pali, Harveer and Kumar, Manish and Kumar Singh, Nishant and Abd Rahim, Erween and Singh, Yashvir and Kumar Gupta, Naveen (2022) Effect of α-aluminium oxide nano additives with Sal biodiesel blend as a potential alternative fuel for existing DI diesel engine. Energy & Environment. pp. 1-29. https://doi.org/10.1177/0958305X221133257 |
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TP315-360 Fuel Sharma, Abhishek Singh Pali, Harveer Kumar, Manish Kumar Singh, Nishant Abd Rahim, Erween Singh, Yashvir Kumar Gupta, Naveen Effect of α-aluminium oxide nano additives with Sal biodiesel blend as a potential alternative fuel for existing DI diesel engine |
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The increasing demand, rapid consumption, price increase, limited reserves, and environmental concern due to pollution produced by conventional fossil fuel (diesel & gasoline) are a few reasons why biofuels need to be explored. The present paper employs a systematic methodology to examine the performance of a 20% volumetric blend of Sal biodiesel (S20) blended with diesel using αaluminium oxide (α-Al2O3) nanoparticles (NP) as additives and is compared with a diesel under like circumstances. The central composite design, Box-Behnken design (BBD) based response surface methodology, and desirability tests are used in the organized experiments on a diesel engine configuration to facilitate calibration. The created multivariate regression model yields all of the
best engine inputs. Interaction effects are used to determine the most influential element by observing the interaction of two distinct input factors on a single response. According to the desirability tests, the highest estimated desirability was 0.579; the optimal input parameters found are 21°bTDC injection timing (IT), 238 bar injection pressure (IOP), 17 compression ratio (CR), and 74 ppm concentration of α-Al2O3NP, estimated the optimized response of brake thermal efficiency (BHTE) 31.18%, brake specific fuel consumption (BSFC) 0.2975 kg/kWh, carbon monoxide (CO) 0.0887%, hydrocarbon (HC) 31 ppm, oxide of nitrogen (NOx) 677 ppm, and smoke level 54.92%. These predicted values were validated with experimental results, and errors were within
the range. The nanoparticle combination sample offers improved brake thermal efficiency (BTHE) and lower BSFC rate than the S20 while testing for the optimal parametric condition. |
format |
Article |
author |
Sharma, Abhishek Singh Pali, Harveer Kumar, Manish Kumar Singh, Nishant Abd Rahim, Erween Singh, Yashvir Kumar Gupta, Naveen |
author_facet |
Sharma, Abhishek Singh Pali, Harveer Kumar, Manish Kumar Singh, Nishant Abd Rahim, Erween Singh, Yashvir Kumar Gupta, Naveen |
author_sort |
Sharma, Abhishek |
title |
Effect of α-aluminium oxide nano additives with Sal biodiesel
blend as a potential alternative fuel for existing DI diesel engine |
title_short |
Effect of α-aluminium oxide nano additives with Sal biodiesel
blend as a potential alternative fuel for existing DI diesel engine |
title_full |
Effect of α-aluminium oxide nano additives with Sal biodiesel
blend as a potential alternative fuel for existing DI diesel engine |
title_fullStr |
Effect of α-aluminium oxide nano additives with Sal biodiesel
blend as a potential alternative fuel for existing DI diesel engine |
title_full_unstemmed |
Effect of α-aluminium oxide nano additives with Sal biodiesel
blend as a potential alternative fuel for existing DI diesel engine |
title_sort |
effect of α-aluminium oxide nano additives with sal biodiesel
blend as a potential alternative fuel for existing di diesel engine |
publisher |
sage |
publishDate |
2022 |
url |
http://eprints.uthm.edu.my/11666/1/J15748_e20c6933a1ba8c63d0eecb4ea45f8444.pdf http://eprints.uthm.edu.my/11666/ https://doi.org/10.1177/0958305X221133257 |
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1816133304552783872 |
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13.214268 |