Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine
Multi-dimensional simulations offer a complementary numerical platform to gas turbine experimentation, generating supportive data for training adaptation and artificial intelligence models. However, the application of iterative-coupled simulations to extensive off-design conditions depends significa...
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Elsevier
2025-08-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25005507 |
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| author | Weimin Deng Guangming Ren Linyuan Jia Zuojun Wei Yuchun Chen Xiaohua Gan |
| author_facet | Weimin Deng Guangming Ren Linyuan Jia Zuojun Wei Yuchun Chen Xiaohua Gan |
| author_sort | Weimin Deng |
| collection | DOAJ |
| description | Multi-dimensional simulations offer a complementary numerical platform to gas turbine experimentation, generating supportive data for training adaptation and artificial intelligence models. However, the application of iterative-coupled simulations to extensive off-design conditions depends significantly on the accuracy of generic characteristic maps, particularly near choke and stall regions. In this study, multi-dimensional simulation based on iterative-coupled models using three different sets of maps was developed. Based on experimental speed characteristics data, the standard deviation of performance parameters simulated from the three iterative-coupled models was found to be less than 10−3. Further analysis reveals the convergence consistent traits that the different characteristic maps used in the iterative-coupled simulations only affect convergence speed and scope and do not impact the final convergence results. To apply iterative-coupled simulations to extensive off-design conditions, a self-moving strategy based on the convergence consistent traits of different characteristic maps was developed. The iterative-coupled simulations using the self-moving strategy have an extensive convergence scope, including adjustable-nozzle-area conditions (0.0013–0.008 m2, 78 %–479 %) and adjustable-power-extraction conditions (0–16 kW, 0 %–80 %). This demonstrates that the self-moving strategy for inexact generic characteristic maps can apply iterative-coupled simulations to extensive off-design, compared to the CLM with exact specific characteristic maps. |
| format | Article |
| id | doaj-art-e22b03a7d9a8441fa0be7869f56ed7b3 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-e22b03a7d9a8441fa0be7869f56ed7b32025-08-20T03:53:56ZengElsevierCase Studies in Thermal Engineering2214-157X2025-08-017210629010.1016/j.csite.2025.106290Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbineWeimin Deng0Guangming Ren1Linyuan Jia2Zuojun Wei3Yuchun Chen4Xiaohua Gan5School of Power and Energy, Northwestern Polytechnical University, Xi'an, 710072, China; Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Science and Technology on Altitude Simulation Laboratory, Mianyang, 621000, ChinaDepartment of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Shenzhen Key Laboratory of Wide-Speed-Range and Variable-Density Continuous Wind Tunnel, Southern University of Science and Technology, Shenzhen, 518000, ChinaSchool of Power and Energy, Northwestern Polytechnical University, Xi'an, 710072, China; National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine, Xi'an, 710129, China; Corresponding author. School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China.Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Shenzhen Key Laboratory of Wide-Speed-Range and Variable-Density Continuous Wind Tunnel, Southern University of Science and Technology, Shenzhen, 518000, ChinaSchool of Power and Energy, Northwestern Polytechnical University, Xi'an, 710072, China; National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine, Xi'an, 710129, ChinaDepartment of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Shenzhen Key Laboratory of Wide-Speed-Range and Variable-Density Continuous Wind Tunnel, Southern University of Science and Technology, Shenzhen, 518000, ChinaMulti-dimensional simulations offer a complementary numerical platform to gas turbine experimentation, generating supportive data for training adaptation and artificial intelligence models. However, the application of iterative-coupled simulations to extensive off-design conditions depends significantly on the accuracy of generic characteristic maps, particularly near choke and stall regions. In this study, multi-dimensional simulation based on iterative-coupled models using three different sets of maps was developed. Based on experimental speed characteristics data, the standard deviation of performance parameters simulated from the three iterative-coupled models was found to be less than 10−3. Further analysis reveals the convergence consistent traits that the different characteristic maps used in the iterative-coupled simulations only affect convergence speed and scope and do not impact the final convergence results. To apply iterative-coupled simulations to extensive off-design conditions, a self-moving strategy based on the convergence consistent traits of different characteristic maps was developed. The iterative-coupled simulations using the self-moving strategy have an extensive convergence scope, including adjustable-nozzle-area conditions (0.0013–0.008 m2, 78 %–479 %) and adjustable-power-extraction conditions (0–16 kW, 0 %–80 %). This demonstrates that the self-moving strategy for inexact generic characteristic maps can apply iterative-coupled simulations to extensive off-design, compared to the CLM with exact specific characteristic maps.http://www.sciencedirect.com/science/article/pii/S2214157X25005507Iterative-coupled simulationsComponent-level modelAdaptation methodGas turbineThermodynamicsComputational fluid dynamics |
| spellingShingle | Weimin Deng Guangming Ren Linyuan Jia Zuojun Wei Yuchun Chen Xiaohua Gan Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine Case Studies in Thermal Engineering Iterative-coupled simulations Component-level model Adaptation method Gas turbine Thermodynamics Computational fluid dynamics |
| title | Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine |
| title_full | Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine |
| title_fullStr | Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine |
| title_full_unstemmed | Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine |
| title_short | Multi-dimensional simulations for extensive off-design conditions of gas turbines by iterative-coupled methods using different characteristic maps of coaxial compressor and turbine |
| title_sort | multi dimensional simulations for extensive off design conditions of gas turbines by iterative coupled methods using different characteristic maps of coaxial compressor and turbine |
| topic | Iterative-coupled simulations Component-level model Adaptation method Gas turbine Thermodynamics Computational fluid dynamics |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25005507 |
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