Computational Fluid Dynamics Simulation and Optimization of Automotive Cyclone Filtering Systems: Enhancing Engine Performance and Emissions Control

Abstract

This research paper presents a comprehensive study on the computational fluid dynamics (CFD) simulation and optimization of automotive cyclone filtering systems, aimed at improving engine performance and emissions control. Cyclone filtering systems play a crucial role in separating particulate matter from the exhaust gases, thereby reducing emissions and enhancing air quality. The proposed methodology involves the development of a CFD model to simulate the flow behavior within the cyclone filter, enabling a detailed analysis of particle dynamics, pressure distribution, and flow patterns. Furthermore, optimization techniques are employed to enhance the efficiency and effectiveness of the cyclone filter design. The research investigates various parameters such as cyclone geometry, inlet conditions, and operating parameters to identify optimal configurations that maximize particle separation efficiency while minimizing pressure drop. The outcomes of this study provide valuable insights into the design and performance optimization of automotive cyclone filtering systems, contributing to the advancement of sustainable transportation technologies.

Cite as:

R. S. Yadav. (2024). Computational Fluid Dynamics Simulation and Optimization of Automotive Cyclone Filtering Systems: Enhancing Engine Performance and Emissions Control. Research and Reviews on Experimental and Applied Mechanics, 7(1), 19–24. https://doi.org/10.5281/zenodo.10894246