Optimal design and decision making of an air cooling channel with hybrid ribs based on RSM and NSGA-II

The channels roughed by ribs have been widely applied in turbine blade internal cooling. A new concept of cooling channels with hybrid ribs (the combination arrangement of rectangular and semicircular ribs) is proposed in this paper. The optimal design and decision making of the new channels are per...

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Veröffentlicht in:Journal of thermal analysis and calorimetry 2022-05, Vol.147 (10), p.5839-5854
Hauptverfasser: Yu, Ruitian, Han, Huaizhi, Yang, Chengang, Luo, Wen
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Yang, Chengang
Luo, Wen
description The channels roughed by ribs have been widely applied in turbine blade internal cooling. A new concept of cooling channels with hybrid ribs (the combination arrangement of rectangular and semicircular ribs) is proposed in this paper. The optimal design and decision making of the new channels are performed to gain the optimal design variables and corresponding heat transfer and flow performance, combining response surface methodology and non-dominated sorting genetic algorithm II. The objective functions ( Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η ) corresponding to the optimized design variables ( Re , p / e , e / D ) are obtained by a series of numerical simulation calculations. The surrogate models are obtained in quadratic polynomial forms, and then, the analysis of variance is utilized to assess the statistical significance of each term in the surrogate models. Pareto-optimal fronts are obtained by NSGA-II, and the Technique for Order Preference by Similarity to Ideal Situation is used to determine the better Pareto-optimal solution. The results indicate that the quadratic term ( p / e ) 2 , linear term Re , and linear term Re are the most significant terms for Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η , respectively. That the optimum objective functions are Nu ¯ / Nu ¯ s  = 2.07 and f ¯ / f ¯ s  = 4.00, corresponding design variables are Re  = 20,571, p / e  = 11.43, and e / D  = 0.051. The optimal design variables along for various Re are also gained, which possesses guiding significance for cooling channels optimization design.
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A new concept of cooling channels with hybrid ribs (the combination arrangement of rectangular and semicircular ribs) is proposed in this paper. The optimal design and decision making of the new channels are performed to gain the optimal design variables and corresponding heat transfer and flow performance, combining response surface methodology and non-dominated sorting genetic algorithm II. The objective functions ( Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η ) corresponding to the optimized design variables ( Re , p / e , e / D ) are obtained by a series of numerical simulation calculations. The surrogate models are obtained in quadratic polynomial forms, and then, the analysis of variance is utilized to assess the statistical significance of each term in the surrogate models. Pareto-optimal fronts are obtained by NSGA-II, and the Technique for Order Preference by Similarity to Ideal Situation is used to determine the better Pareto-optimal solution. The results indicate that the quadratic term ( p / e ) 2 , linear term Re , and linear term Re are the most significant terms for Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η , respectively. That the optimum objective functions are Nu ¯ / Nu ¯ s  = 2.07 and f ¯ / f ¯ s  = 4.00, corresponding design variables are Re  = 20,571, p / e  = 11.43, and e / D  = 0.051. 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A new concept of cooling channels with hybrid ribs (the combination arrangement of rectangular and semicircular ribs) is proposed in this paper. The optimal design and decision making of the new channels are performed to gain the optimal design variables and corresponding heat transfer and flow performance, combining response surface methodology and non-dominated sorting genetic algorithm II. The objective functions ( Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η ) corresponding to the optimized design variables ( Re , p / e , e / D ) are obtained by a series of numerical simulation calculations. The surrogate models are obtained in quadratic polynomial forms, and then, the analysis of variance is utilized to assess the statistical significance of each term in the surrogate models. Pareto-optimal fronts are obtained by NSGA-II, and the Technique for Order Preference by Similarity to Ideal Situation is used to determine the better Pareto-optimal solution. The results indicate that the quadratic term ( p / e ) 2 , linear term Re , and linear term Re are the most significant terms for Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η , respectively. That the optimum objective functions are Nu ¯ / Nu ¯ s  = 2.07 and f ¯ / f ¯ s  = 4.00, corresponding design variables are Re  = 20,571, p / e  = 11.43, and e / D  = 0.051. The optimal design variables along for various Re are also gained, which possesses guiding significance for cooling channels optimization design.</description><subject>Air cooling</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Analytical Chemistry</subject><subject>Channels</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Cooling</subject><subject>Decision making</subject><subject>Design optimization</subject><subject>Genetic algorithms</subject><subject>Inorganic Chemistry</subject><subject>Mathematical models</subject><subject>Measurement Science and Instrumentation</subject><subject>Numerical analysis</subject><subject>Pareto optimum</subject><subject>Physical Chemistry</subject><subject>Polymer Sciences</subject><subject>Polynomials</subject><subject>Response surface methodology</subject><subject>Sorting algorithms</subject><subject>Turbine blades</subject><subject>Turbines</subject><subject>Variance analysis</subject><issn>1388-6150</issn><issn>1588-2926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kU9P3DAQxaOqlUppv0BPljiHzsRxYh9XiMJKUKQCZ8vrP7uGrL3YQRXfvgNB6q3ywU9P85sZ-zXNd4RTBBh_VAQ18hY6bBEkjC1-aI5QSNl2qhs-kuakBxTwuflS6wMAKAV41ISbwxz3ZmLO17hNzCRH0sYac2J78xjTluVANjOxMJvz9OrYnUnJT-xPnHds97Ip0bESN5VtTPWOEfr79vqt16_bi1W7Xn9tPgUzVf_t_T5u7n-e351dtlc3F-uz1VVruZBzuwGjJCLpzjgcBUcpRlraCYmch64XBsELL6zzUo3YSxlGZQd6iwrOK37cnCx9DyU_Pfs664f8XBKN1N0guASFCqjqdKnamsnrmEKei7F0nN9Hm5MPkfzVCNgPvep7AroFsCXXWnzQh0K_Vl40gn4NQC8BaApAvwWgkSC-QJWK09aXf7v8h_oLjViFhQ</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Yu, Ruitian</creator><creator>Han, Huaizhi</creator><creator>Yang, Chengang</creator><creator>Luo, Wen</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20220501</creationdate><title>Optimal design and decision making of an air cooling channel with hybrid ribs based on RSM and NSGA-II</title><author>Yu, Ruitian ; Han, Huaizhi ; Yang, Chengang ; Luo, Wen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-b0a98113582ad17531857150d58133f245a10e5e5cde8971488f79c69909fde93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air cooling</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Analytical Chemistry</topic><topic>Channels</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Cooling</topic><topic>Decision making</topic><topic>Design optimization</topic><topic>Genetic algorithms</topic><topic>Inorganic Chemistry</topic><topic>Mathematical models</topic><topic>Measurement Science and Instrumentation</topic><topic>Numerical analysis</topic><topic>Pareto optimum</topic><topic>Physical Chemistry</topic><topic>Polymer Sciences</topic><topic>Polynomials</topic><topic>Response surface methodology</topic><topic>Sorting algorithms</topic><topic>Turbine blades</topic><topic>Turbines</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Ruitian</creatorcontrib><creatorcontrib>Han, Huaizhi</creatorcontrib><creatorcontrib>Yang, Chengang</creatorcontrib><creatorcontrib>Luo, Wen</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of thermal analysis and calorimetry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Ruitian</au><au>Han, Huaizhi</au><au>Yang, Chengang</au><au>Luo, Wen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal design and decision making of an air cooling channel with hybrid ribs based on RSM and NSGA-II</atitle><jtitle>Journal of thermal analysis and calorimetry</jtitle><stitle>J Therm Anal Calorim</stitle><date>2022-05-01</date><risdate>2022</risdate><volume>147</volume><issue>10</issue><spage>5839</spage><epage>5854</epage><pages>5839-5854</pages><issn>1388-6150</issn><eissn>1588-2926</eissn><abstract>The channels roughed by ribs have been widely applied in turbine blade internal cooling. A new concept of cooling channels with hybrid ribs (the combination arrangement of rectangular and semicircular ribs) is proposed in this paper. The optimal design and decision making of the new channels are performed to gain the optimal design variables and corresponding heat transfer and flow performance, combining response surface methodology and non-dominated sorting genetic algorithm II. The objective functions ( Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η ) corresponding to the optimized design variables ( Re , p / e , e / D ) are obtained by a series of numerical simulation calculations. The surrogate models are obtained in quadratic polynomial forms, and then, the analysis of variance is utilized to assess the statistical significance of each term in the surrogate models. Pareto-optimal fronts are obtained by NSGA-II, and the Technique for Order Preference by Similarity to Ideal Situation is used to determine the better Pareto-optimal solution. The results indicate that the quadratic term ( p / e ) 2 , linear term Re , and linear term Re are the most significant terms for Nu ¯ / Nu ¯ s , f ¯ / f ¯ s , and η , respectively. That the optimum objective functions are Nu ¯ / Nu ¯ s  = 2.07 and f ¯ / f ¯ s  = 4.00, corresponding design variables are Re  = 20,571, p / e  = 11.43, and e / D  = 0.051. The optimal design variables along for various Re are also gained, which possesses guiding significance for cooling channels optimization design.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10973-021-10807-1</doi><tpages>16</tpages></addata></record>
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subjects Air cooling
Algorithms
Analysis
Analytical Chemistry
Channels
Chemistry
Chemistry and Materials Science
Cooling
Decision making
Design optimization
Genetic algorithms
Inorganic Chemistry
Mathematical models
Measurement Science and Instrumentation
Numerical analysis
Pareto optimum
Physical Chemistry
Polymer Sciences
Polynomials
Response surface methodology
Sorting algorithms
Turbine blades
Turbines
Variance analysis
title Optimal design and decision making of an air cooling channel with hybrid ribs based on RSM and NSGA-II
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