Performance and emission characteristics of a 4 stroke C.I. engine operated on honge methyl ester using artificial neural network

Journal of Engineering and Applied Sciences

Volumn 5, Issue 6, 2010, Pages 83-94

  Shivakumar, ^a   Srinivas Pai, P ^b   Shrinivasa Rao, B R ^b   Samaga, B S ^b  

^a MANIPAL INSTITUTE OF TECHNOLOGY   (India)

^b NMAM INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Blend; Emissions; Honge oil; Transesterification

Indexed keywords

EID: 78649756466     PISSN: 1816949X     EISSN: 18187803     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. A.K Hossain, P.A Davies. 2010. Plant oils as fuels for compression ignition engines. A technical review and life cycle analysis, Renewable Energy. 35: 1-13.
2. Babu A.K Devaradjane G. 2003. Vegetable oils and their derivatives as fuel for CI engines - an overview. SAE 01-0767.
3. Ramdas A.S Jayaraj. 2004. Muraleedharan, Use of vegetable oils as IC engine fuels-A Review. Renewable energy. 29: 727-742.
4. Surendra R. 2010. Kalbande, Plant oils as fuels for C.I engines, a technical review and life cycle analysis. Renewable energy. 35: 1-13.
5. Ziejewski M, Goettler HJ. Design modifications for durability improvements of diesel engines operating on plant oil fuels. SAE 921630 USA.
6. Hyun Kyu Suh, Hyun Gu Roh. 2008. Spray and combustion characteristics of biodiesel/diesel blended fuel in a direct injection common rail diesel engine. Journal of Gas turbines and Power. 130: 1-12.
7. A. Serddari K Fragioudakis. 2000. Impact of using biodiesels of different origin on the performance of a stationary diesel engine. Transactions of ASME. 122: 624-630.
8. Deepak Agarwal, Lokesh kumar, Avinash Kumar agarwal. 2008. Performance Evaluation of a vegetable oil fuelled compression ignition engine. Renewable Energy. 33: 1147-1156.
9. B. Baiju, M.K naik, L.M Das. 2009. A Comparative Evaluation of Compression ignition characteristics using methyl and ethyl esters of karanja oil. Renewable Energy. 34: 1616-1621.
10. Suresh Kumar, R Velraj, R Ganesan. 2008. Performance and emissions of a C.I engine fuelled with PPME and its blends with diesel. Renewable Energy. 82: 1311-1325.
11. Avinash Kumar agarwal, K. Rajamanoharan. 2009. Experimental investigations of performance and emissions of Karanja oil and its blends in a single cylinder agricultural diesel engine. Applied Energy. 86: 106-112.
12. T. Venkateshwara Rao, G. prabhakar rao, K. Hema Chandra reddy. 2008. Experimental investigation of pongamia, Jatropa, Neem metyl esters as biodiesel in CI engine. JJMIE. 2: 117-122.
13. Haykin S. 1984. Neural networks- a comprehensive foundation. Newyork; Mac-millan.
14. Magali R.G Meireles, Paulo E.M Almeida. 2003. A comprehensive Review for industrial applicability of ANNs. IEEE transactions on Industrial Electronics. 50: 585-602.
15. Arcaklioglu E. celikten. 2005. A Diesel engine's performance and exhaust emissions using ANN. Applied Energy. 80: 11-22.
16. Jose M Alonso, Fernando Alavariuz. 2007. Combining ANN with Genetic algorithm to reduce diesel engine emissions. IEEE Transaction on Evolutionary computation. 11: 46-55.
17. Lucas A. Duran A, Caramona M. 2002. Modeling diesel particulate emission with neural networks. Fuel. 81: 1963-1970.
18. Cenk Sayin, H. Metin Ertunc. 2007. Performance and exhaust emissions from a gasoline engine using ANN. Applied Thermal Engineering. 27: 46-54.
19. Jose M. D Esantes, Jose J. Lopez, Jose M. Garcia. 2002. Application of Neural Networks for prediction and optimization of exhaust emissions in a H.D diesel engine. SAE. 1144: 1993-2001.
20. Mustafa Canakci, Ahmet Erdil, Erol Arcakliglu. 2006. Performance and exhaust emissions of a biodiesel engine. Applied Energy. 83: 594-604.
21. Michel L. Traver Richard J. Atkinson. 1999. Neural network based diesel engine emission prediction using in cylinder combustion pressure. SAE International. 1532: 1-15.
22. Yuanwang D, Meilin Z, Dong X. 2002. An analysis for the effect of cetane number on the Exhaust emissions from the diesel engine with neural networks. Fuel. 81: 1963-1970.
23. Golci M Sekmen Y, ErduranliP Salman MS. 2005. Artificial Neural Network based modeling of a variable valve timing in a spark ignition engine. Applied Energy. 81: 187-197.