Author:
Galande Swapnil,Pangavhane D. R.,Suryawanshi Shubham R.
Abstract
An analysis of the performance and emission parameters using varying injection timing and compression ratio with a Microalgae Biodiesel blend was done to optimize the input parameter using grey relational analysis and Taguchi analysis. For this the microalgae biodiesel blends were used as B10 (MB10+PD90), B20 (MB20+PD80) and B30 (MB30+PD70) and the compression ratios were used as 17:1, 19:1 and 21:1. Injection timing where used as 21̊ bTDC, 23̊ bTDC, 25̊ bTDC and load was varied as 3, 6 and 12 to optimize the blend. The purpose was to address numerous response optimization problems with a limited number of experimental runs using the Taguchi approach and L27 orthogonal analysis. To determine the best combination of four input parameters, the data from this experiment was further examined using the signal-to-noise ratio and grey relational analysis. The aim was to reduce emission parameters such as NOx, CO, HC and Smoke, as well as the Brake-Specific Fuel Consumption (BSFC) and Exhaust Gas Temperature (EGT) and to increase performance parameters, i.e. Brake Thermal Efficiency (BTE). From the above study, it was observed that B20 (MB20+PD80) has shown optimum results for performance and emission parameters at 21:1 compression ratio, 23̊ bTDC injection timing and 12kg load.
Publisher
Informatics Publishing Limited
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