Browse Publications Technical Papers 2006-01-3304
2006-10-16

ANN Analysis of Performance Characteristics of CI Engine Fuels based on Physical and Chemical Properties and Estimation of Optimal Blend of Biodiesels with Diesel 2006-01-3304

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.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Common Platforms for the Future Spark-Ignition and Compression-Ignition Engines

2006-01-3003

View Details

TECHNICAL PAPER

Prediction of Cetane Number of a Biodiesel Based on Physical Properties and a Study of Their Influence on Cetane Number

2007-01-0077

View Details

TECHNICAL PAPER

Determination of the Proportion of Blend of Biodiesel with Diesel for Optimal Engine Performance and Emission Characteristics

2006-01-3534

View Details

X