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Kazunari Momose

Researcher at Osaka University

Publications -  43
Citations -  110

Kazunari Momose is an academic researcher from Osaka University. The author has contributed to research in topics: Heat transfer & Convective heat transfer. The author has an hindex of 5, co-authored 43 publications receiving 108 citations.

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Forced convection heat transfer from a heated circular cylinder with arbitrary surface temperature distributions

TL;DR: In this article, a boundary integral expression for evaluation of forced convection heat transfer from an object with arbitrary surface temperature distributions is proposed, and the mechanism of the effect of the surface temperature distribution on the heat transfer characteristics of a cylinder is clarified in detail through generalized heat transfer coefficients.
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An inverse analysis of two-phase Stefan problems using imaginary heat sources

TL;DR: In this article, a new methodology for the inverse analysis of time-dependent two-phase Stefan problems is presented, where imaginary heat sources are arranged in an imaginary domain and the phase-change interface is identified as the isothermal surface at the melting temperature by controlling the imaginary heat source intensities.
Patent

Design support method, design support system, and design support program for heat convection field

TL;DR: In this paper, a design support method for a heat convection field or a mass diffusion field is presented, which significantly reduces the number of times of numerical simulation required to examine the designing parameters for achieving the design purpose.
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Reverse computation of forced convection heat transfer for optimal control of thermal boundary conditions

TL;DR: In this article, a reverse computation based on adjoint formulation of forced convection heat transfer is proposed to obtain the optimal thermal boundary conditions for heat transfer characteristics; for example, a total heat transfer rate or a temperature at a specific location.
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Green's Function Approach to Optimal Arrangement of Heat Sources in Heat Conductor.

TL;DR: In this paper, a combined approach of analytical and numerical methods is proposed for the optimal arrangement of n heat sources to achieve the desired temperatures at m locations, based on the characteristics of Green's function under a point-source approximation, which can be determined non iteratively by executing n + 1 or m + 1 numerical simulations of heat conduction equations.