首页|Researchers from Chinese Academy of Sciences Detail Findings in Machine Learning (Integrated Optimization of a Turbine Stage At a Low Reynolds Number Via Nurbs Surface and Machine Learning)
Researchers from Chinese Academy of Sciences Detail Findings in Machine Learning (Integrated Optimization of a Turbine Stage At a Low Reynolds Number Via Nurbs Surface and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Beijing, People's Repu blic of China, by NewsRx editors, research stated, "As the turbine load increase s, both the blade profile losses and secondary flow losses in the endwall region cannot be ignored for turbines operating at low Reynolds numbers. To fully expl ore the flow control effects of the blade and endwall shapes, a viable integrate d parameterization method and optimization method are formulated for turbine sta ges." Funders for this research include National Natural Science Foundation of China ( NSFC), National Major Science and Technology Project of China.
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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