Geometric optimisation of a coupled vane compressor
There exist many variations of positive displacement rotary compressors that are currently utilised globally for their respective applications. The ongoing demand for compressors seeks a more efficient, compact and optimised compressor that can replace the current version to better enhance its...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158571 |
| _version_ | 1811695292305637376 |
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| author | Teo, Jing Chung |
| author2 | Ooi Kim Tiow |
| author_facet | Ooi Kim Tiow Teo, Jing Chung |
| author_sort | Teo, Jing Chung |
| collection | NTU |
| description | There exist many variations of positive displacement rotary compressors that are currently
utilised globally for their respective applications. The ongoing demand for compressors seeks a
more efficient, compact and optimised compressor that can replace the current version to better
enhance its optimality in energy saving, compactness and usage of raw material during
manufacturing.
In view of the need for improvement, a rotary compressor named Coupled Vane Compressor
(CVC) was invented in 2019 which highlights the usage of two coupled vanes that slides
diametrically through the rotor. The CVC was designed to reduce material usage during
fabrication while having a higher energy efficient rate as compared to the other rotary
compressors in the market. As such, the CVC is currently the most compact, material saving and
energy efficient compressor to date.
The study links a genetic algorithm optimisation technique, named NSGA-II, with the existing
mathematical models which were used to determine the operational characteristics of the CVC
in a simulation program. With a predetermined set of constraints, the NSGA-II can search for an
optimal set of geometrical parameters to give rise an improved mechanical and volumetric
efficiency during operation.
Seven design variables namely rotor radius, cylinder radius, cylinder height, vane length, vane
thickness, valve reed, suction port length, suction port diameter and discharge port diameter were
varied to search for an optimised set of geometrical parameters.
This paper will detail the execution of the genetic algorithm paired with the simulation program,
showing the utilisation of different operators and its ability to handle defined constraints. The
result is presented in comparison to previous known studies to show improvement made using
the NSGA-II |
| first_indexed | 2024-10-01T07:21:09Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158571 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:21:09Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1585712022-06-05T13:17:58Z Geometric optimisation of a coupled vane compressor Teo, Jing Chung Ooi Kim Tiow School of Mechanical and Aerospace Engineering MKTOOI@ntu.edu.sg Engineering::Mechanical engineering::Motors, engines and turbines There exist many variations of positive displacement rotary compressors that are currently utilised globally for their respective applications. The ongoing demand for compressors seeks a more efficient, compact and optimised compressor that can replace the current version to better enhance its optimality in energy saving, compactness and usage of raw material during manufacturing. In view of the need for improvement, a rotary compressor named Coupled Vane Compressor (CVC) was invented in 2019 which highlights the usage of two coupled vanes that slides diametrically through the rotor. The CVC was designed to reduce material usage during fabrication while having a higher energy efficient rate as compared to the other rotary compressors in the market. As such, the CVC is currently the most compact, material saving and energy efficient compressor to date. The study links a genetic algorithm optimisation technique, named NSGA-II, with the existing mathematical models which were used to determine the operational characteristics of the CVC in a simulation program. With a predetermined set of constraints, the NSGA-II can search for an optimal set of geometrical parameters to give rise an improved mechanical and volumetric efficiency during operation. Seven design variables namely rotor radius, cylinder radius, cylinder height, vane length, vane thickness, valve reed, suction port length, suction port diameter and discharge port diameter were varied to search for an optimised set of geometrical parameters. This paper will detail the execution of the genetic algorithm paired with the simulation program, showing the utilisation of different operators and its ability to handle defined constraints. The result is presented in comparison to previous known studies to show improvement made using the NSGA-II Bachelor of Engineering (Mechanical Engineering) 2022-06-05T13:17:58Z 2022-06-05T13:17:58Z 2022 Final Year Project (FYP) Teo, J. C. (2022). Geometric optimisation of a coupled vane compressor. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158571 https://hdl.handle.net/10356/158571 en B406 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Mechanical engineering::Motors, engines and turbines Teo, Jing Chung Geometric optimisation of a coupled vane compressor |
| title | Geometric optimisation of a coupled vane compressor |
| title_full | Geometric optimisation of a coupled vane compressor |
| title_fullStr | Geometric optimisation of a coupled vane compressor |
| title_full_unstemmed | Geometric optimisation of a coupled vane compressor |
| title_short | Geometric optimisation of a coupled vane compressor |
| title_sort | geometric optimisation of a coupled vane compressor |
| topic | Engineering::Mechanical engineering::Motors, engines and turbines |
| url | https://hdl.handle.net/10356/158571 |
| work_keys_str_mv | AT teojingchung geometricoptimisationofacoupledvanecompressor |