Optimization study of a compressor
This report documents the optimization study of a compressor and the process to determine the optimum design of the compressor. The Coupled Vane Compressor is known to be the most compact positive displacement rotary compressor due to its ability to operate with a smaller rotor-to-cylinder ratio. By...
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2023
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sg-ntu-dr.10356-1678962023-06-10T16:50:14Z Optimization study of a compressor Low, Eugene Ya Ming Ooi Kim Tiow School of Mechanical and Aerospace Engineering MKTOOI@ntu.edu.sg Engineering::Mechanical engineering This report documents the optimization study of a compressor and the process to determine the optimum design of the compressor. The Coupled Vane Compressor is known to be the most compact positive displacement rotary compressor due to its ability to operate with a smaller rotor-to-cylinder ratio. By integrating the compressor simulation model with the MJ box complex optimization algorithm, the optimum design of the Coupled Vane Compressor under a preset objective functions and a set of constraints can be attained. combining the mechanical, volumetric, and isentropic efficiency of the compressor as the objective function to be maximized, while assigning the cylinder and rotor radii as the design variables allowed to vary during the optimum search, the combination of the design variable with optimum objective function can be obtained. By keeping the volume displacement constant at 40cc, the optimum cylinder and rotor radii are 25.008mm and 16.213mm respectively, while the value of the efficiencies that yield the maximum objective function are 73.12%, 77.65%, and 74.41%, with an improvement of 2.78%, 2.35%, and 0.15% from the initial design respectively. This demonstrates that a smaller configuration of the CVC can improve performance while allowing for a more compact design. Bachelor of Engineering (Mechanical Engineering) 2023-06-05T06:12:41Z 2023-06-05T06:12:41Z 2023 Final Year Project (FYP) Low, E. Y. M. (2023). Optimization study of a compressor. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167896 https://hdl.handle.net/10356/167896 en C104 application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering Low, Eugene Ya Ming Optimization study of a compressor |
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This report documents the optimization study of a compressor and the process to determine the optimum design of the compressor. The Coupled Vane Compressor is known to be the most compact positive displacement rotary compressor due to its ability to operate with a smaller rotor-to-cylinder ratio. By integrating the compressor simulation model with the MJ box complex optimization algorithm, the optimum design of the Coupled Vane Compressor under a preset objective functions and a set of constraints can be attained. combining the mechanical, volumetric, and isentropic efficiency of the compressor as the objective function to be maximized, while assigning the cylinder and rotor radii as the design variables allowed to vary during the optimum search, the combination of the design variable with optimum objective function can be obtained. By keeping the volume displacement constant at 40cc, the optimum cylinder and rotor radii are 25.008mm and 16.213mm respectively, while the value of the efficiencies that yield the maximum objective function are 73.12%, 77.65%, and 74.41%, with an improvement of 2.78%, 2.35%, and 0.15% from the initial design respectively. This demonstrates that a smaller configuration of the CVC can improve performance while allowing for a more compact design. |
author2 |
Ooi Kim Tiow |
author_facet |
Ooi Kim Tiow Low, Eugene Ya Ming |
format |
Final Year Project |
author |
Low, Eugene Ya Ming |
author_sort |
Low, Eugene Ya Ming |
title |
Optimization study of a compressor |
title_short |
Optimization study of a compressor |
title_full |
Optimization study of a compressor |
title_fullStr |
Optimization study of a compressor |
title_full_unstemmed |
Optimization study of a compressor |
title_sort |
optimization study of a compressor |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167896 |
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1772825362135252992 |