Title: Interpretation of the performance and emission characteristics of a CI engine running on ethanol-butanol diesel blends using an optimisation model

Authors: S. Ajay; P. Somasundaram; N. Prasanna; T. Rajagopal

Addresses: Department of Mechanical Engineering, Kongu Engineering College, Erode, 638052, India ' Department of Mechanical Engineering, Kongu Engineering College, Erode, 638052, India ' Department of Mechanical Engineering, Kongu Engineering College, Erode, 638052, India ' Department of Mechanical Engineering, Kongu Engineering College, Erode, 638052, India

Abstract: Every nation is attempting to minimise pollution in a variety of ways as government's upcoming laws and bills on emissions mitigation have sped up engine development. Our research's goal is to investigate alternative optimisation models for emission and performance to find the optimal ethanol-butanol diesel blends. This research looked at CO, CO₂, NO_x, and HC levels as emission parameters. Minor variations in the performance metrics like brake thermal efficiency (BTE), brake power, torque, and mechanical efficiency were recorded. It was evident from the graphs that the performance characteristics were slightly higher than neat diesel and except for the amount of unburned hydrocarbon, there has been a substantial improvement in emission characteristics. The goal of optimisation is to find the best alcohol diesel mix percentage that can be utilised in a diesel engine. The ideal mix is chosen based on the desirability value derived from the optimisation data.

Keywords: ANN; artificial neural network; ethanol-butanol blends; optimisation; emission; performance.

DOI: 10.1504/IJHVS.2022.125351

International Journal of Heavy Vehicle Systems, 2022 Vol.29 No.2, pp.180 - 196

Received: 10 Oct 2021
Accepted: 22 Oct 2021
Published online: 07 Sep 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article