Optimization of Flywheel for Reciprocating Air Compressor using Mayfly Algorithm

Optimization of Flywheel for Reciprocating Air Compressor using Mayfly Algorithm

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© 2023 by IJETT Journal
Volume-71 Issue-8
Year of Publication : 2023
Author : Atharva Barhanpurkar, Deepak Hujare, Omkar Kulkarni, Abhijeet Birari
DOI : 10.14445/22315381/IJETT-V71I8P217

How to Cite?

Atharva Barhanpurkar, Deepak Hujare, Omkar Kulkarni, Abhijeet Birari, "Optimization of Flywheel for Reciprocating Air Compressor using Mayfly Algorithm," International Journal of Engineering Trends and Technology, vol. 71, no. 8, pp. 191-200, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I8P217

Abstract
Reciprocating Compressors are typically used for low flow rates and high pressures. They are frequently used in mining and other sectors of the pneumatic industry. Flywheel pulleys are one of the key components used in compressors, among many other parts. The method uses a flywheel to buffer energy fluctuations, and a pulley transmits power effectively while slowing down the transmission. During this research, the flywheel's mass is optimized while keeping the moment of inertia the same as that of the old flywheel based on the compressor's requirement. Optimization, also referred to as mathematical programming, is a group of mathematical ideas and strategies for resolving quantitative issues in a variety of fields, such as physics, biology, engineering, economics, and business. A group of novel problem-solving methodologies and approaches that are inspired by natural processes are known as "nature-inspired algorithms". The flywheel optimization is carried out using a mayfly algorithm to cut down on material and production costs. The stressed-out model is validated using Ansys Mechanical. A mass reduction of 30% is obtained from this research.

Keywords
Flywheel pulley, Finite element analysis, Mayfly algorithm, Optimization, Reciprocating compressor.

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