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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Main Authors: Idres, Moumen, Saiful Azmi, Muhamad Adi Muqri
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:http://irep.iium.edu.my/94041/1/94041_Computational%20Prediction%20of%20the%20Performance%20Map_new.pdf
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spelling 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)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TA1001 Transportation engineering (General)
TA174 Engineering design
TA329 Engineering mathematics. Engineering analysis
spellingShingle 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
description 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.
format 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/
_version_ 1718925619035635712
score 13.211869