ANN Analysis of Performance Characteristics of CI Engine Fuels based on Physical and Chemical Properties and Estimation of Optimal Blend of Biodiesels with Diesel Department of Mechanical Engineering, Sri Venkateswara College of Engineering

Format:

Conference/Event

Author/Creator:

Suryanarayanan, Saikishan, author.

Conference Name:

Powertrain & Fluid Systems Conference and Exhibition (2006-10-16 : Toronto, Canada)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2006

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2006-01-3304

Access Restriction:

Restricted for use by site license