Experimental study and prediction of the performance and exhaust emissions of mixed Jatropha curcas-Ceiba pentandra biodiesel blends in diesel engine using artificial neural networks

Journal of Cleaner Production

Volumn 164, Issue , 2017, Pages 618-633

  Dharma, Surya ^a,b   Hassan, Masjuki Haji ^a   Ong, Hwai Chyuan ^a   Sebayang, Abdi Hanra ^a,b   Silitonga, Arridina Susan ^b,c   Kusumo, Fitranto ^a   Milano, Jassinnee ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b Politeknik Negeri Medan   (Indonesia)

^c SYIAH KUALA UNIVERSITY   (Indonesia)

Author keywords

Alternative fuel; Artificial neural network; Engine performance; Exhaust emission; Mixed biodiesel

Indexed keywords

ALTERNATIVE FUELS; BIODIESEL; BLENDING; BRAKES; CARBON DIOXIDE; CARBON MONOXIDE; CATALYSIS; DIESEL FUELS; DIRECT INJECTION; ENGINE CYLINDERS; ENGINES; ESTERIFICATION; FOSSIL FUELS; FUELS; GLOBAL WARMING; NEURAL NETWORKS; NITROGEN OXIDES; OIL FIELD DEVELOPMENT; PETROLEUM DEPOSITS; PROVEN RESERVES;

ARTIFICIAL NEURAL NETWORK MODELS; CARBON MONOXIDE EMISSIONS; COEFFICIENT OF DETERMINATION; DIRECT INJECTION DIESEL ENGINES; ENGINE PERFORMANCE; EXHAUST EMISSION; MATHEMATICAL REPRESENTATIONS; MEAN ABSOLUTE PERCENTAGE ERROR;

DIESEL ENGINES;

EID: 85027514049     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2017.06.065     Document Type: Article

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