Authors:
S. Manikandan, C. Christina Angelin, S. Silvia Priscila, Saly Jaber
Addresses:
Department of Robotics and Automation, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Mathematics, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Computer Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India. Department of Analytical Chemistry, Saint Joseph University, Beirut, Lebanon.
Abstract:
An engine cylinder is a major automobile component that results in considerable temperature fluctuations and thermal stresses. To enhance the rate of heat dissipation, fins are mounted on its surface. The output of the thermal analysis of these fins provides information regarding the process of heat dissipation inside the cylinder. As the increase in surface area leads to an increase in the rate of heat dissipation, the design of such systems becomes complex. The primary focus of this paper will be on the thermal properties of cylinder fins, which vary in geometry, material, and thickness, using Ansys Workbench. Transient thermal analysis encompasses temperature variations and other thermal properties that change over time, making it crucial for cooling systems. Important parameters can be identified through this, which can determine temperature distribution dynamics, such as design parameters, that could lead to significant enhancements in efficiency and durability. The current study evaluates cylinder fins based on materials such as Aluminium Alloy 6061, which has a higher thermal conductivity coefficient. An appropriate simulation enhances design for better performance and prolongs the lifetime of parts. Issues related to the complexity of engine designs, increased cooling requirements, and reliability concerns are addressed with the assistance of advanced thermal simulation.
Keywords: Engine Cylinder; Thermal Conductivity; Fossil Fuel; Mechanical Energy; Pressure Gases; Ansys Workbench; Thermal Simulation; Cylinder Material; Combustion Engines.
Received: 02/04/2024, Revised: 12/05/2024, Accepted: 17/07/2024, Published: 07/03/2025
DOI: 10.64091/ATIAS.2025.000111
AVE Trends in Intelligent Applied Sciences, 2025 Vol. 1 No. 1 , Pages: 1-14