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Shigeo Uchida

Bio: Shigeo Uchida is an academic researcher from Nagoya University. The author has contributed to research in topics: Jet (fluid) & Boundary layer. The author has an hindex of 2, co-authored 3 publications receiving 184 citations.

Papers
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TL;DR: In this article, an exact solution of the Navier-Stokes equation for unsteady flow is a semi-infinite contracting or expanding circular pipe is calculated and reveals the following characteristics of this type of flow.
Abstract: Physiological pumps produce flows by alternate contraction and expansion of the vessel. When muscles start to squeeze its wall the valve at the upstream end is closed and that at the downstream end is opened, and the fluid is pumped out in the downstream direction. These systems can be modelled by a semi-infinite pipe with one end closed by a compliant membrane which prevents only axial motion of the fluid, leaving radial motion completely unrestricted. In the present paper an exact similar solution of the Navier–Stokes equation for unsteady flow is a semi-infinite contracting or expanding circular pipe is calculated and reveals the following characteristics of this type of flow. In a contracting pipe the effects of viscosity are limited to a thin boundary layer attached to the wall, which becomes thinner for higher Reynolds numbers. In an expanding pipe the flow adjacent to the wall is highly retarded and eventually reverses at Reynolds numbers above a critical value. The pressure gradient along the axis of pipe is favourable for a contracting wall, while it is adverse for an expanding wall in most cases. These solutions are valid down to the state of a completely collapsed pipe, since the nonlinearity is retained in full. The results of the present theory may be applied to the unsteady flow produced by a certain class of forced contractions and expansions of a valved vein or a thin bronchial tube.

204 citations

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TL;DR: In this paper, a theoretical investigation of the turbulent curved jet along a curved streamline is presented, where the equations of motion referring to streamline co-ordinates are simplified by boundary layer approximations and integrated under the assumption of similarity.
Abstract: A theoretical investigation of the turbulent curved jet along a curved streamline is presented. Equations of motion referring to streamline co-ordinates are simplified by boundary-layer approximations and integrated under the assumption of similarity. The forms of zero-streamlines, velocity profiles and pressure distributions are calculated, and the effects of streamline curvatures are investigated.

Cited by
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TL;DR: In this article, the effects of the nanoparticle volume fraction, Reynolds number, expansion ratio and power law index on Hydrothermal behavior of nanofluid fluid between two parallel plates is studied.

336 citations

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TL;DR: In this article, a numerical approach is applied to analyze the thermal behavior of alumina nanofluid in a duct, and neural network is employed to estimate the heat transfer rate.

237 citations

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TL;DR: The current study focuses on the viscous flow driven by small wall contractions and expansions of two weakly permeable walls and finds that, when suction is coupled with wall contraction, rapid flow turning is precipitated near the wall where the boundary layer is formed.

162 citations

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TL;DR: In this article, it is shown that separation from the top of the shelter belt gives rise to a separation streamline which divides the low velocity flow below from the high velocity flow aloft, while its location is determined by the drag on the shelter and the pressure distribution behind it.

151 citations

Journal ArticleDOI
TL;DR: Comparisons of theoretically generated contraction patterns with the patterns exhibited by individuals of P. polycephalum demonstrate that individuals maximize internal flows by adapting patterns of contraction to size, thus optimizing transport throughout an organism.
Abstract: Individuals can function as integrated organisms only when information and resources are shared across a body. Signals and substrates are commonly moved using fluids, often channeled through a network of tubes. Peristalsis is one mechanism for fluid transport and is caused by a wave of cross-sectional contractions along a tube. We extend the concept of peristalsis from the canonical case of one tube to a random network. Transport is maximized within the network when the wavelength of the peristaltic wave is of the order of the size of the network. The slime mold Physarum polycephalum grows as a random network of tubes, and our experiments confirm peristalsis is used by the slime mold to drive internal cytoplasmic flows. Comparisons of theoretically generated contraction patterns with the patterns exhibited by individuals of P. polycephalum demonstrate that individuals maximize internal flows by adapting patterns of contraction to size, thus optimizing transport throughout an organism. This control of fluid flow may be the key to coordinating growth and behavior, including the dynamic changes in network architecture seen over time in an individual.

143 citations