Empirical Study of Engine Performance and Emission Parameters Using Python Module.

Autor: DSilva, Rolvin, Gopalakrishna, Binu Kottoor, DSouza, Raison, Kaliveer, Vinoothan, Bhat, Thirumaleshwara
Předmět:
Zdroj: AIP Conference Proceedings; 2020, Vol. 2236 Issue 1, p030006-1-030006-6, 6p
Abstrakt: In this study a preheater was fabricated to increase the temperature of intake air and experiments were carried out for 30°, 40°, 50° and 60°C. B20 blend of Pongamia Pinnata biodiesel was used as fuel. It is observed that as the temperature of intake air rises, the brake thermal efficiency (BTE) increases by 1% from 30° to 60°C, similarly brake specific fuel consumption (BSFC) decreases by 9%. Among emissions, it is observed that, the oxides of nitrogen increases (NOx) by 10.1%, emission of HC and Smoke opacity decreases by 36% and 16% respectively. The results obtained are mathematically modelled using fitting of curves method by using Python module and the best suited equation is derived. It is found that the quadratic equation y=a*x2+b*x+c suits well for BSFC and NOx variation against the temperature. The equation y=a*bx is the best fit curve for BTE, HC emission and smoke opacity. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index