首页|New Machine Learning Findings from Southeast University Reported (Study On the P rediction and Optimization of Flow Maldistribution In Printed Circuit Heat Exch angers Based On Machine Learning)
New Machine Learning Findings from Southeast University Reported (Study On the P rediction and Optimization of Flow Maldistribution In Printed Circuit Heat Exch angers Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news originating fromNanjing, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Printed circuit heatexchanger h as become a new choice for the recuperators and intermediate heat exchangers of supercriticalcarbon dioxide nuclear power system due to its advanced power dens ity and ability to operate underhigh temperature and high pressure conditions. The flow mal-distribution among the channels of PCHEsignificantly affects its h eat transfer efficiency.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
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