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ANN Analysis of Performance Characteristics of CI Engine Fuels based on Physical and Chemical Properties and Estimation of Optimal Blend of Biodiesels with Diesel
Technical Paper
2006-01-3304
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Biodiesels from various sources form a large number of fuels when blended in various proportions with Diesel. Hence it becomes necessary to analyze, evaluate and select the optimal fuel blend. Since it is extremely tedious to manually test every one of these combinations, this paper introduces an elegant method for the above required analysis by establishing a definite relationship between the fuel properties and engine performance by using Artificial Neural Networks. ANNs are trained to predict engine performance based on fuel properties and to aid in optimizing the ratio with which a Biodiesel has to be blended with Diesel.
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Authors
- Saikishan Suryanarayanan - Department of Mechanical Engineering, Sri Venkateswara College of Engineering
- Vijay Manikandan Janakiraman - Department of Mechanical Engineering, Sri Venkateswara College of Engineering
- G. Lakshmi Narayana Rao - Department of Mechanical Engineering, Sri Venkateswara College of Engineering
- S. Sampath - Department of Automobile Engineering, Sri Venkateswara College of Engineering
Topic
Citation
Suryanarayanan, S., Janakiraman, V., Rao, G., and Sampath, S., "ANN Analysis of Performance Characteristics of CI Engine Fuels based on Physical and Chemical Properties and Estimation of Optimal Blend of Biodiesels with Diesel," SAE Technical Paper 2006-01-3304, 2006, https://doi.org/10.4271/2006-01-3304.Also In
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