Optimization of Biodiesel Injection Parameters Based on Support Vector Machine
Joint Authors
Shi, Fuxi
Chen, Jun
Xu, Yang
Karimi, Hamid Reza
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
For the running diesel engine, spray-atomization, mixed-combustion, and thermal-power conversion processes are inseparable, which causes difficulty to investigate atomization effect separately.
This study was conducted to improve the atomization efficiency of the soybean fatty acid methyl ester (SFAME) in engine, to achieve the minimum effective specific fuel consumption in specific engine working conditions, the different injection parameters combination were explored on the influence of effective specific fuel consumption at elevated fule temperature.
The effective specific fuel consumption prediction model was established based on support vector machine (SVM).
With small samples, the intrinsic functional relationship was determined and the best injection parameters were validated under seven different experimental conditions.
The study results have shown that the engine’s spray-thermal-power conversion process could be simulated accurately by using SVM.
It will be more favorable to improve application effect of biodiesel in the engine to select the fuel temperature as injection parameters which influence atomization effect.
Furthermore, using enumeration-verification methods to simulate the parameters might save a lot of resources as compared to the similar experiments.
American Psychological Association (APA)
Shi, Fuxi& Chen, Jun& Xu, Yang& Karimi, Hamid Reza. 2013. Optimization of Biodiesel Injection Parameters Based on Support Vector Machine. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032432
Modern Language Association (MLA)
Shi, Fuxi…[et al.]. Optimization of Biodiesel Injection Parameters Based on Support Vector Machine. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1032432
American Medical Association (AMA)
Shi, Fuxi& Chen, Jun& Xu, Yang& Karimi, Hamid Reza. Optimization of Biodiesel Injection Parameters Based on Support Vector Machine. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032432