首页|Investigators from Xi’an Jiaotong University Have Reported New Data on Nanoparti cles (A Hybrid Machine Learning-cfd Method for the Innovative Analysis of Al2o3 Nanoparticle Deposition In Shelland- tubes Heat Exchangers)
Investigators from Xi’an Jiaotong University Have Reported New Data on Nanoparti cles (A Hybrid Machine Learning-cfd Method for the Innovative Analysis of Al2o3 Nanoparticle Deposition In Shelland- tubes Heat Exchangers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Nanotechnology - Nanopar ticles have been published. According to news reporting originating in Xi’an, Pe ople’s Republic of China, by NewsRx journalists, research stated, “This study ex amines the intricate dynamics surrounding the deposition of Al2O3 nanoparticles within a heat exchanger, with the aim of optimizing heat transfer efficiency and gaining insights into gas dynamics. A comprehensive investigation of various pa rameters is conducted, including nanoparticle diameter ranging from 10 to 100 nm , heat flux variations from 500 to 3000 W/m2, Reynolds numbers spanning from 308 to 1540, and mass fractions ranging from 0.5 to 8 %. The methodolo gy integrates machine learning algorithms with Eulerian and Lagrange methods, le veraging Python programming to deepen the understanding of complex deposition pr ocesses.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanoparticlesNanotechnologyXi’an Jiaotong University
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