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This work is a part of program on “Development of High Performance DI, 3 Cylinder CRDI Diesel Engine to meet Euro-IV/V Emission Norms focused on automotive passenger car application purpose. This is a 3 Cylinder, TCIC engine designed for combustion pressure of 160 bar max for first stage which is being upgraded to 200 bar max in the second stage. Cylinder Head design is a part of complicated configuration whose construction and principal dimensions are dependent on the size of inlet and exhaust valves, fuel injectors positioning and mounting, port layout and swirl and shape of combustion chambers. The cylinder head of a direct-injection diesel engine has to perform many functions. It has to bring charge air to the cylinder and exhaust gas from the cylinder, with minimum pumping loss and required swirl and other properties of charge motion.

With the announcement, as per draft notification GSR 187 (E) dated 19th Feb 2016 issued by MoRTH (Ministry of Road Transport and Highways), on vehicle emission standards to leapfrog from BS IV to BS VI by 2020, diesel engines would be greatly facing challenges to meet the stringent emission requirements of 90% reduction in PM and 50% reduction in NOx emissions simultaneously. Up to BS IV, in-cylinder strategies utilizing higher fuel injection pressure, higher intake boost, lower to moderate EGR, optimized combustion chamber design and lower intake manifold temperature would be sufficient. But meeting emission levels at BS VI levels would require a combination of both in-cylinder combustion control and after treatment system [1]. However, unlike Europe and US markets where wide spread adoption of after treatment solution is viable, for Indian market it would be impeded by infrastructure availability, system cost and cost of ownership.

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.