Dual Effects of N-Butanol and Magnetite Nanoparticle to Biodiesel-Diesel Fuel Blends as Additives on Emission Pattern and Performance of a Diesel Engine with ANN Validation

被引:4
|
作者
Sule, Ahmed [1 ,2 ]
Latiff, Zulkarnain Abdul [1 ]
Abas, Mohd Azman [1 ]
Veza, Ibham [3 ]
Soudagar, Manzoore Elahi M. [4 ,5 ]
Harny, Irianto [6 ]
Epin, Vorathin [3 ]
机构
[1] Univ Teknol Malaysia, Fac Engn, Automot Dev Ctr, Sch Mech Engn, Johor Baharu 81310, Malaysia
[2] Kogi State Coll Educ, Tech Educ Dept, Automot & Mech Technol Educ Sect, Ankpa 1033, Nigeria
[3] Univ Teknol PETRONAS, Dept Mech Engn, Perak 32610, Malaysia
[4] Chandigarh Univ, Univ Ctr Res & Dev, Dept Mech Engn, Mohali, India
[5] Glocal Univ, Sch Technol, Dept Mech Engn, Delhi 247121, India
[6] Rabdan Acad, Fac Resilence, Dept Gen Educ, POB 114646, Abu Dhabi, U Arab Emirates
关键词
Magnetite; emissions; ANN model; efficiency; Butanol; INOPHYLLUM METHYL-ESTER; CARBON NANOTUBES; OXIDE NANOPARTICLES; ZINC-OXIDE; COMBUSTION; DIESTEROL; HYDROGEN;
D O I
10.3390/su15021404
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper investigates impact of magnetite dispersed in butanol and added to two varied blends of palm biodiesel and diesel (B20 and B30). The developed fuel samples were characterized and tested on single cylinder diesel Yanmar engine (L70N) to observe engine behavior for emissions and performance. Results are compared with two reference fuels: YF50 fuel contains 50 ppm magnetite in B20 and B(n)10Y90 contains 10% butanol with 90% B20. Addition of magnetite and butanol depletes emissions levels and improve performance compared to ordinary B20 and B30 however; samples with higher dosage of magnetite (150 ppm) yielded better results in performance and emission compared with lower dosage (75 ppm). The best sample was C10Z90 which entails 150 ppm magnetite in butanol added at 10% to B30. Brake thermal efficiency (BTE) at highest brake power (BP) point for C10Z90 was 37.28% compared to others (32.88%, 35.22% and 35.96%). Additionally, brake specific fuel consumption (BSFC) of C10Z90 was at least 8.29 g/Kw.hr and at most 84.52 g/Kw.hr less than other samples at highest BP point. Results indicated C10Z90 was lower in carbon-monoxide, hydrocarbon and smoke except for oxides of nitrogen. Artificial Neural Network (ANN) model successfully predicted BTE, BSFC and emissions of the dual fuel application.
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页数:22
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