The behavior of Taylor-Couette(TC) flow has been extensively studied. However, no suitable torque prediction models exist for high-capacity fluid machinery.The Eckhardt-Grossmann-Lohse(EGL) theory, derived based on the Navier–Stokes equations, is proposed to model torque behavior. This theory suggests that surfaces are the significant energy transfer interfaces between cylinders and annular flow. This study mainly focuses on the effects of surface texture on momentum transfer behavior through global torque measurement. First, a power-law torque behavior model is built to reveal the relationship between dimensionless torque and the Taylor number based on the EGL theory. Second, TC flow apparatus is designed and built based on the CNC machine tool to verify the torque behavior model. Third, four surface texture films are tested to check the effects of surface texture on momentum transfer. A stereo microscope and three-dimensional topography instrument are employed to analyze surface morphology. Global torque behavior is measured by rotating a multi component dynamometer, and the effects of surface texture on the annular flow behavior are observed via images obtained using a high-speed camera. Finally, torque behaviors under four different surface conditions are fitted and compared. The experimental results indicate that surface textures have a remarkable influence on torque behavior, and that the peak roughness of surface texture enhances the momentum transfer by strengthening the fluctuation in the TC flow.
展开▼
机译:A three-dimensional numerical study of the effects of various twisted tapes on heat transfer characteristics and flow field in a tube: Experimental validation and multi-objective optimization via response surface methodology
机译:利用扫描穿隧显微镜探讨在硒化铟上未氧化表面和氧化表面之介面接合处的电子特性 =Scanning Tunneling Microscope study of InSe Surface Electronic Properties at the Fresh/Oxided Interface Junction
机译:materialmodell没有。 72 foer Betong:Erfarenheter fran en Experimentell och Numberisk studie(material modell no.72 for concrete-Experience from a Experimental and Numerical study)。