Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel
Abstract The continuous rise in demand, combined with the depletion of the world's fossil fuel reserves, has forced the search for alternative fuels. The biodiesel produced from Roselle is one such indigenous biodiesel with tremendous promise, and its technical ability to operate with compressi...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0ec7bac5c5f74f88ab365df554d186ad |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:0ec7bac5c5f74f88ab365df554d186ad |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:0ec7bac5c5f74f88ab365df554d186ad2021-12-02T18:13:52ZExperimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel10.1038/s41598-021-98382-12045-2322https://doaj.org/article/0ec7bac5c5f74f88ab365df554d186ad2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98382-1https://doaj.org/toc/2045-2322Abstract The continuous rise in demand, combined with the depletion of the world's fossil fuel reserves, has forced the search for alternative fuels. The biodiesel produced from Roselle is one such indigenous biodiesel with tremendous promise, and its technical ability to operate with compression ignition engines is studied in this work. To characterize the fuel blends, researchers used experimental and empirical approaches while operating at engine loads of 25, 50, 75, and 100%, and with fuel injection timings of 19°, 21°, 23°, 25°, and 27° before top dead center. Results indicate that for 20% blend with the change of injection timing from 19° bTDC to 27° bTDC at full load, brake specific fuel consumption and exhaust gas temperature was increased by 15.84% and 4.60% respectively, while brake thermal efficiency decreases by 4.4%. Also, an 18.89% reduction in smoke, 5.26% increase in CO2, and 12.94% increase in NOx were observed. In addition, an empirical model for full range characterization was created. With an r-squared value of 0.9980 ± 0.0011, the artificial neural network model constructed to characterize all 10 variables was able to predict satisfactorily. Furthermore, substantial correlation among specific variables suggested that empirically reduced models were realistic.Tikendra Nath VermaUpendra RajakAbhishek DasoreAsif AfzalA. Muthu ManokarAbdul AabidMuneer BaigNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-23 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Tikendra Nath Verma Upendra Rajak Abhishek Dasore Asif Afzal A. Muthu Manokar Abdul Aabid Muneer Baig Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel |
description |
Abstract The continuous rise in demand, combined with the depletion of the world's fossil fuel reserves, has forced the search for alternative fuels. The biodiesel produced from Roselle is one such indigenous biodiesel with tremendous promise, and its technical ability to operate with compression ignition engines is studied in this work. To characterize the fuel blends, researchers used experimental and empirical approaches while operating at engine loads of 25, 50, 75, and 100%, and with fuel injection timings of 19°, 21°, 23°, 25°, and 27° before top dead center. Results indicate that for 20% blend with the change of injection timing from 19° bTDC to 27° bTDC at full load, brake specific fuel consumption and exhaust gas temperature was increased by 15.84% and 4.60% respectively, while brake thermal efficiency decreases by 4.4%. Also, an 18.89% reduction in smoke, 5.26% increase in CO2, and 12.94% increase in NOx were observed. In addition, an empirical model for full range characterization was created. With an r-squared value of 0.9980 ± 0.0011, the artificial neural network model constructed to characterize all 10 variables was able to predict satisfactorily. Furthermore, substantial correlation among specific variables suggested that empirically reduced models were realistic. |
format |
article |
author |
Tikendra Nath Verma Upendra Rajak Abhishek Dasore Asif Afzal A. Muthu Manokar Abdul Aabid Muneer Baig |
author_facet |
Tikendra Nath Verma Upendra Rajak Abhishek Dasore Asif Afzal A. Muthu Manokar Abdul Aabid Muneer Baig |
author_sort |
Tikendra Nath Verma |
title |
Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel |
title_short |
Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel |
title_full |
Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel |
title_fullStr |
Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel |
title_full_unstemmed |
Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel |
title_sort |
experimental and empirical investigation of a ci engine fuelled with blends of diesel and roselle biodiesel |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/0ec7bac5c5f74f88ab365df554d186ad |
work_keys_str_mv |
AT tikendranathverma experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel AT upendrarajak experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel AT abhishekdasore experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel AT asifafzal experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel AT amuthumanokar experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel AT abdulaabid experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel AT muneerbaig experimentalandempiricalinvestigationofacienginefuelledwithblendsofdieselandrosellebiodiesel |
_version_ |
1718378435831660544 |