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Comparative Study of Performance Characteristics of a Glow Plug Fired 2 Stroke Engine for Different Blends of Methanol, Castor Oil and Gasoline by Experimental and ANN Analysis
Technical Paper
2007-01-0058
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
It is essential that glow plug fired engines especially those used for R/C Aircrafts possess the maximum power to weight ratio. This paper attempts to achieve the same by blending Gasoline with methanol. Since gasoline has a higher calorific value, blending gasoline with the methanol based fuel might produce an increased power output. This paper involves conducting a series of tests on a Fox .40 2 stroke glow plug fired engine used for R/C aircraft using a series of blends on Gasoline, methanol and castor oil in various proportions The propeller speed is observed for the different fuel blends for the range of throttle positions. The steady state engine surface temperature while running under each of these blends is measured using an infra red thermometer. By experimental investigation, it is found that the engine provides satisfactory performance for up to 15% addition of gasoline. The performance is improved at low throttle positions. Artificial Neural Networks (ANNs) are employed to predict performance throughout the range of blends
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Authors
- Vikram Devaraj - Sri Venkateswara College of Engineering, Tamil Nadu, India
- Saikishan Suryanarayanan - Sri Venkateswara College of Engineering, Tamil Nadu, India
- Vijay Manikandan Janakiraman - Sri Venkateswara College of Engineering, Tamil Nadu, India
- Kaushik Subramanian - Sri Venkateswara College of Engineering, Tamil Nadu, India
- Varun Devaraj - Madras Aero-modeling club, Tamil Nadu, India
Citation
Devaraj, V., Suryanarayanan, S., Janakiraman, V., Subramanian, K. et al., "Comparative Study of Performance Characteristics of a Glow Plug Fired 2 Stroke Engine for Different Blends of Methanol, Castor Oil and Gasoline by Experimental and ANN Analysis," SAE Technical Paper 2007-01-0058, 2007, https://doi.org/10.4271/2007-01-0058.Data Sets - Support Documents
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References
- Volponi A. DePold H. Ganguli R. The use of Kalman filter and neural network methodologies in gas turbine performance diagnostics: a comparative study ASME Turbo Expo 2000 Munich, Germany Paper 2000-GT-547 May 2000
- Massie DD Neural-network fundamentals for scientists and engineers ECOS'01 4-6 July 2001 Istanbul, Turkey 123
- Marquardt DW An algorithm for least squares estimation of nonlinear parameters J Soc Ind Appl Math 1963 11 2 431 41
- Kalogirou SA Artificial intelligence for the modeling and control of combustion process: a review Prog Energy Combust 2003 30 3 231 95
- Deng Y W Zhu M L Xiang D Cheng X B An analysis for effect of cetane number on exhaust emissions from engine with the neural network Fuel 2002 81 15 1963 70
- Massie DD Neural-network fundamentals for scientists and engineers ECOS'01 4-6 July 2001 Istanbul, Turkey 123
- Karonis D Louis E Zannikos F Alexandridis A Saraimveis H A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties Energy Fuel 2003 17 5 1259 65