首页|Data from Huazhong University of Science and Technology Advance Knowledge in Mac hine Learning (Accurate Machine-learning-based Prediction of Aerodynamic and Heat Transfer Coefficients for Cylindrical Biomass Particles)
Data from Huazhong University of Science and Technology Advance Knowledge in Mac hine Learning (Accurate Machine-learning-based Prediction of Aerodynamic and Heat Transfer Coefficients for Cylindrical Biomass Particles)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Cylindrical biomass (straw) particles play a crucial role in the numerical simulations of biomass co-firing in coalfired boilers, whe rein the aerodynamic and heat transfer coefficients of these particles are parti cularly important. Despite the existence of models proposed thus far for various specific conditions, developing a universal model for cylindrical particles rem ains challenging in multiphase flow systems.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningMathematicsNumerical ModelingHuazhong University of Science and Technology
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