首页|Research from Istanbul Bilgi University Provides New Data on Machine Learning (M achine Learning Analysis of Thermal Performance Indicator of Heat Exchangers wit h Delta Wing Vortex Generators)
Research from Istanbul Bilgi University Provides New Data on Machine Learning (M achine Learning Analysis of Thermal Performance Indicator of Heat Exchangers wit h Delta Wing Vortex Generators)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting from Istanbul,Turkey ,by NewsRx journalists,research stated,"In this work,the design features of delta wing vortex generators (DWVGs) on the thermo-hydraulic performance of heat exchangers are investigated using machine learning." Our news editors obtained a quote from the research from Istanbul Bilgi Universi ty: "Reynolds numbers,attack angle,length,wing-to-width ratio,and relative p itch ratio of DWVGs were used as descriptor variables,with Nusselt numbers,fri ction factors,and performance evaluation criterion (PEC) serving as target vari ables. Decision tree classification revealed the pathways leading to high or low values of the performance variables. Among many of those pathways,it was found that high Reynolds numbers (between 8160 and 9800) and high attack angles (grea ter than or equal to 47.5°) lead to high Nusselt numbers. On the other hand,an attack angle between 41° and 60°,a Reynolds number less than 8510,and a wing-t o-width ratio greater than or equal to 0.4 causes a high friction factor. Finall y,the PEC is likely to enhance when the Reynolds number is higher than or equal to 10,300 and the attack angle is between 47.5° and 60°. In addition to the dec ision tree analysis,SHapley Additive exPlanations (SHAP) analysis (a part of ex plainable machine learning) was also applied to reveal the importance of design features and their positive and negative effects on the target variables."
Istanbul Bilgi UniversityIstanbulTur keyEurasiaCyborgsEmerging TechnologiesMachine Learning
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