2019
DOI: 10.1016/j.enconman.2019.01.087
|View full text |Cite
|
Sign up to set email alerts
|

Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
11
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 57 publications
(11 citation statements)
references
References 45 publications
0
11
0
Order By: Relevance
“…Feasible operating conditions have been examined for various blends of fusel oil mixed with nanobiochar additive. In this investigation, speed of the engine varies from 1800 to 2600 rpm with an interval of 200 rpm, whereas the fusel oil blended with diesel fuel ranges from 5 to 20% with an interval of 5%, and the additive is added at various rates (25,50,75, 100, and 125 ppm). Speed of the engine, concentration of fuel oil, and additive have been considered as input responses for prediction analysis, whereas power, BSFC, torque, and various emissions were examined as output responses.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Feasible operating conditions have been examined for various blends of fusel oil mixed with nanobiochar additive. In this investigation, speed of the engine varies from 1800 to 2600 rpm with an interval of 200 rpm, whereas the fusel oil blended with diesel fuel ranges from 5 to 20% with an interval of 5%, and the additive is added at various rates (25,50,75, 100, and 125 ppm). Speed of the engine, concentration of fuel oil, and additive have been considered as input responses for prediction analysis, whereas power, BSFC, torque, and various emissions were examined as output responses.…”
Section: Introductionmentioning
confidence: 99%
“…Levenberg-Marquardt (Trainlm) training function has been practiced for error-free evaluation, in which mean square error decides the dereliction consequence of the network [20]. Most of the experimental investigations have been carried out on various engines with the application of ANN for optimizing the outcomes [21][22][23][24][25]. As time passes on, researchers may use various ceramic coatings to the combustion chamber, piston, etc., in order to improve the performance and reduce the emission with the enhancement of heat transfer rate in combustion reaction [26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Kakati et al [17] have developed a virtual sensing based on ANN to emulate the performance, emissions, and stability indices of the single-cylinder diesel engine operation in dual-fuel mode. The results showed a good agreement with the experimental data and from the study was suggested a new alternative to development new strategies for real-time engine control.…”
Section: Related Workmentioning
confidence: 99%
“…Sayin et al 19 used ANN to predict brake-specific fuel consumption, brake thermal efficiency, exhaust temperature and emissions of a gasoline engine with high correlation coefficients ( R 2 ) in the range of 0.983–0.996. In another study, 20 an ANN model was developed to predict performance, combustion and emission characteristics of methanol–diesel dual-fuel combustion in a single-cylinder diesel engine. It was found that the model had very high accuracy with R 2 values in the range of 0.99–0.98.…”
Section: Introductionmentioning
confidence: 99%