Search Results

In the quest towards meeting stringent emission norms as well as robust performance requirements, there is an ever growing need to continually research into and develop high caliber engines. This necessitates handling huge amounts of generated test data that monitors a multitude of variables like engine speed, combustion chamber pressure, engine load and the like. Further, in order to establish the scalar engine performance parameters like efficiency, Brake Mean Effective Pressure, Indicated Mean Effective Pressure, P-V diagram, post processing is required to be done on the measured test data that involves complex calculations like numerical integration and other mathematical operations on a grand scale. In order to meet this objective, the authors hereby showcase a knowledge based algorithm that integrates and streamlines the entire procedure from handling of the huge test data to performing all the calculations in order to arrive at the scalar engine performance parameters.