Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends

A recently invented algorithm known as the grasshopper optimization algorithm (GOA) was employed to optimize diesel engine performance and emission operated with ternary fuel (ethanol-biodiesel-diesel) blends. Using the regression modelling over these experimental results, the mathematical equations...

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Main Authors: Veza, Ibham, Karaoglan, Aslan Deniz, Ileri, Erol, Kaulani, S. A., Tamaldin, Noreffendy, Latiff, Z. A., Muhamad Said, Mohd. Farid, Anh, Tuan Hoang, Yatish, K. V., Idris, M.
Format: Article
Language:English
Published: Elsevier Ltd 2022
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Online Access:http://eprints.utm.my/id/eprint/101317/1/ZulkarnainAbdulLatiff2022_GrasshopperOptimizationAlgorithmforDieselEngine.pdf
http://eprints.utm.my/id/eprint/101317/
http://dx.doi.org/10.1016/j.csite.2022.101817
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.1013172023-06-08T08:59:06Z http://eprints.utm.my/id/eprint/101317/ Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends Veza, Ibham Karaoglan, Aslan Deniz Ileri, Erol Kaulani, S. A. Tamaldin, Noreffendy Latiff, Z. A. Muhamad Said, Mohd. Farid Anh, Tuan Hoang Yatish, K. V. Idris, M. TJ Mechanical engineering and machinery A recently invented algorithm known as the grasshopper optimization algorithm (GOA) was employed to optimize diesel engine performance and emission operated with ternary fuel (ethanol-biodiesel-diesel) blends. Using the regression modelling over these experimental results, the mathematical equations between the factors i.e., ethanol ratio (vol%), biodiesel ratio (vol%), engine load (Nm)) and the responses i.e., BSFC (g/kWh), BTE (%), HC (ppm), CO2 (%), NOx (ppm), CO (%) were calculated. Grasshopper optimization algorithm was then run through these regression equations to calculate the optimum factor levels. The confirmation results suggested that the BTE was maximized and the other responses were minimized successfully. For the ANOVA results, under the 95% confidence level with a = 5% (=0.05), the p-value for all the regression models was less than 0.05, which indicated the significance of the regression models. In terms of the performance tests of the models, the regression models good fit the given observations with a low prediction error. The grasshopper optimization algorithm showed that ethanol-biodiesel-diesel blend in the ratio of 10%, 7.5%, 82.5% run at 7 Nm engine load gave the optimum results for diesel engine performance and emission characteristics. These findings have important implications for the potential of grasshopper optimization algorithm to improve engine performance and emission characteristics. Elsevier Ltd 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/101317/1/ZulkarnainAbdulLatiff2022_GrasshopperOptimizationAlgorithmforDieselEngine.pdf Veza, Ibham and Karaoglan, Aslan Deniz and Ileri, Erol and Kaulani, S. A. and Tamaldin, Noreffendy and Latiff, Z. A. and Muhamad Said, Mohd. Farid and Anh, Tuan Hoang and Yatish, K. V. and Idris, M. (2022) Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends. Case Studies in Thermal Engineering, 31 (NA). pp. 1-12. ISSN 2214-157X http://dx.doi.org/10.1016/j.csite.2022.101817 DOI : 10.1016/j.csite.2022.101817
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Veza, Ibham
Karaoglan, Aslan Deniz
Ileri, Erol
Kaulani, S. A.
Tamaldin, Noreffendy
Latiff, Z. A.
Muhamad Said, Mohd. Farid
Anh, Tuan Hoang
Yatish, K. V.
Idris, M.
Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
description A recently invented algorithm known as the grasshopper optimization algorithm (GOA) was employed to optimize diesel engine performance and emission operated with ternary fuel (ethanol-biodiesel-diesel) blends. Using the regression modelling over these experimental results, the mathematical equations between the factors i.e., ethanol ratio (vol%), biodiesel ratio (vol%), engine load (Nm)) and the responses i.e., BSFC (g/kWh), BTE (%), HC (ppm), CO2 (%), NOx (ppm), CO (%) were calculated. Grasshopper optimization algorithm was then run through these regression equations to calculate the optimum factor levels. The confirmation results suggested that the BTE was maximized and the other responses were minimized successfully. For the ANOVA results, under the 95% confidence level with a = 5% (=0.05), the p-value for all the regression models was less than 0.05, which indicated the significance of the regression models. In terms of the performance tests of the models, the regression models good fit the given observations with a low prediction error. The grasshopper optimization algorithm showed that ethanol-biodiesel-diesel blend in the ratio of 10%, 7.5%, 82.5% run at 7 Nm engine load gave the optimum results for diesel engine performance and emission characteristics. These findings have important implications for the potential of grasshopper optimization algorithm to improve engine performance and emission characteristics.
format Article
author Veza, Ibham
Karaoglan, Aslan Deniz
Ileri, Erol
Kaulani, S. A.
Tamaldin, Noreffendy
Latiff, Z. A.
Muhamad Said, Mohd. Farid
Anh, Tuan Hoang
Yatish, K. V.
Idris, M.
author_facet Veza, Ibham
Karaoglan, Aslan Deniz
Ileri, Erol
Kaulani, S. A.
Tamaldin, Noreffendy
Latiff, Z. A.
Muhamad Said, Mohd. Farid
Anh, Tuan Hoang
Yatish, K. V.
Idris, M.
author_sort Veza, Ibham
title Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
title_short Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
title_full Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
title_fullStr Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
title_full_unstemmed Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
title_sort grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends
publisher Elsevier Ltd
publishDate 2022
url http://eprints.utm.my/id/eprint/101317/1/ZulkarnainAbdulLatiff2022_GrasshopperOptimizationAlgorithmforDieselEngine.pdf
http://eprints.utm.my/id/eprint/101317/
http://dx.doi.org/10.1016/j.csite.2022.101817
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