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扭带式换热器水热关联的机器学习辅助建模
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作者 Jyoti Prakash Panda bipin kumar +2 位作者 Anil kumar Patil Manoj kumar Ravi kumar 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2023年第1期148-157,共10页
本文介绍了机器学习(ML)算法在带扭带插件的换热器传热关联(如努塞尔数和摩擦系数)建模中的应用.采用换热器在不同雷诺数(Re)、扭转比(t)、穿孔率(p)和不同扭带数(n)下的实验数据进行相关建模.在数据驱动的代理建模中使用了三种机器学... 本文介绍了机器学习(ML)算法在带扭带插件的换热器传热关联(如努塞尔数和摩擦系数)建模中的应用.采用换热器在不同雷诺数(Re)、扭转比(t)、穿孔率(p)和不同扭带数(n)下的实验数据进行相关建模.在数据驱动的代理建模中使用了三种机器学习算法:多项式回归(PR)、随机森林(RF)和人工神经网络(ANN).为了保证模型的通用性,对ML模型的超参数进行了优化,分析了不同ML算法的性能参数(如R 2和MAE).结果表明,在不同的测试数据集上,人工神经网络对传热系数的预测优于PR和RF的预测.基于本文分析内容,对未来数据驱动的传热关联建模工作和类似研究提出了建议. 展开更多
关键词 机器学习 数据驱动 测试数据集 辅助建模 多项式回归 超参数 穿孔率
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ON THE VOLUME OF FLUID METHOD FOR MULTIPHASE FLUID FLOW SIMULATION 被引量:2
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作者 bipin kumar MARTIN CRANE YAN DELAURE 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2013年第2期74-100,共27页
Numerical study of multiphase fluid flows require mathematical methods for distinguishing interface between two fluids.The volume of fluid(VOF)method is one of such method which takes care of fluid shape in a local do... Numerical study of multiphase fluid flows require mathematical methods for distinguishing interface between two fluids.The volume of fluid(VOF)method is one of such method which takes care of fluid shape in a local domain and reconstructs the interface from volume fraction of one fluid.Maintaining sharp interface during reconstruction is a challenging task and geometrical approach of VOF method better suits for incompressible fluids.This paper provides a complete mathematical discussion of extended form of VOF method using a approach known as piecewise linear interface calculation(PLIC).An analytical relation between volume fraction and interface position has been explored with the help of primitive geometrical shapes.The method with this analytical relation has been applied to multiphase fluid flow benchmark problems and found to be in good agreement. 展开更多
关键词 Multiphase fluid flows VOF(PLIC)method analytic relation incompressible fluids interface reconstruction.
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