Computational prediction of the performance map of a transonic axial flow compressor
Performance analysis of a transonic axial compressor at design and off-design operating conditions are investigated numerically using ANSYS-CFX. The compressor is NASA Rotor 37. Firstly, the performance at design point is predicted, where mesh independence study is performed to determine suitable m...
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my.iium.irep.940412021-12-08T08:57:11Z http://irep.iium.edu.my/94041/ Computational prediction of the performance map of a transonic axial flow compressor Idres, Moumen Saiful Azmi, Muhamad Adi Muqri T Technology (General) TA Engineering (General). Civil engineering (General) TA1001 Transportation engineering (General) TA174 Engineering design TA329 Engineering mathematics. Engineering analysis Performance analysis of a transonic axial compressor at design and off-design operating conditions are investigated numerically using ANSYS-CFX. The compressor is NASA Rotor 37. Firstly, the performance at design point is predicted, where mesh independence study is performed to determine suitable mesh size. Three-dimensional flow details for meridional plane, blade-to-blade plane and airfoil surface are explored. The design point study successfully captured flow features such as shock waves and flow separation regions. When compared with experimental data, the predicted compressor pressure ratio deviation error is less than 5%. 3D flow details show that shock wave strength increases from hub to tip. The shock wave moves backward as we move from hub to tip indicating that the flow separation covers lesser portion of the blade. Secondly, off-design performance is predicted for various rotational speeds. A simple procedure is utilized to predict surge and choke limits. The predicted compressor map is compared with experimental data and it shows overall root mean square error less than 5%. The success of the method developed in this research make it a viable method to be used in the design phase of transonic compressors to evaluate the effect of design modifications for both design and off-design operating conditions. 2021-06 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/94041/1/94041_Computational%20Prediction%20of%20the%20Performance%20Map_new.pdf Idres, Moumen and Saiful Azmi, Muhamad Adi Muqri (2021) Computational prediction of the performance map of a transonic axial flow compressor. In: 5th International Conference on Mechanical, Automotive and Aerospace Engineering 2021 (ICMAAE'21), 22 - 23 June 2021, Virtual. (Unpublished) |
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T Technology (General) TA Engineering (General). Civil engineering (General) TA1001 Transportation engineering (General) TA174 Engineering design TA329 Engineering mathematics. Engineering analysis Idres, Moumen Saiful Azmi, Muhamad Adi Muqri Computational prediction of the performance map of a transonic axial flow compressor |
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Performance analysis of a transonic axial compressor at design and off-design operating conditions are investigated numerically using ANSYS-CFX. The compressor is NASA Rotor 37. Firstly, the performance at design point is predicted, where mesh independence study is performed to determine suitable mesh size. Three-dimensional flow details for meridional plane, blade-to-blade plane and airfoil surface are explored. The design point study successfully captured flow features such as shock waves and flow separation regions. When compared with experimental data, the predicted compressor pressure ratio deviation error is less than 5%. 3D flow details show that shock wave strength increases from hub to tip. The shock wave moves backward as we move from hub to tip indicating that the flow separation covers lesser portion of the blade. Secondly, off-design performance is predicted for various rotational speeds. A simple procedure is utilized to predict surge and choke limits. The predicted compressor map is compared with experimental data and it shows overall root mean square error less than 5%. The success of the method developed in this research make it a viable method to be used in the design phase of transonic compressors to evaluate the effect of design modifications for both design and off-design operating conditions. |
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Conference or Workshop Item |
author |
Idres, Moumen Saiful Azmi, Muhamad Adi Muqri |
author_facet |
Idres, Moumen Saiful Azmi, Muhamad Adi Muqri |
author_sort |
Idres, Moumen |
title |
Computational prediction of the performance
map of a transonic axial flow compressor |
title_short |
Computational prediction of the performance
map of a transonic axial flow compressor |
title_full |
Computational prediction of the performance
map of a transonic axial flow compressor |
title_fullStr |
Computational prediction of the performance
map of a transonic axial flow compressor |
title_full_unstemmed |
Computational prediction of the performance
map of a transonic axial flow compressor |
title_sort |
computational prediction of the performance
map of a transonic axial flow compressor |
publishDate |
2021 |
url |
http://irep.iium.edu.my/94041/1/94041_Computational%20Prediction%20of%20the%20Performance%20Map_new.pdf http://irep.iium.edu.my/94041/ |
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1718925619035635712 |
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13.211869 |