Journal ArticleDOI
Reverse computation of forced convection heat transfer for optimal control of thermal boundary conditions
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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.Abstract:
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. In the reverse analysis via adjoint formulation, the heat flow is reversed in both time and space. Thus, using the numerical solution of the adjoint problem, we can inversely predict the boundary condition effects on the heat transfer characteristics. As a result, we can obtain the optimal thermal boundary conditions in both time and space to control the heat transfer at any given time. © 2004 Wiley Periodicals, Inc. Heat Trans Asian Res, 33(3): 161–174, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/htj.20002read more
Citations
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Journal ArticleDOI
Heat transfer—A review of 2004 literature
Richard J Goldstein,W. E. Ibele,Suhas V. Patankar,Terrence W. Simon,Thomas H. Kuehn,Paul J Strykowski,Kumar K. Tamma,Joachim Heberlein,Jane H. Davidson,John C. Bischof,Francis A Kulacki,Uwe Kortshagen,Sean C. Garrick,Vinod Srinivasan,Kalyanjit Ghosh,Rajat Mittal +15 more
TL;DR: A review of heat transfer literature published in 2004 in English language, including some translations of foreign language papers, is presented in this paper, where papers are grouped into subject-oriented sections and further divided into sub-fields.
Journal ArticleDOI
Deep reinforcement learning for the control of conjugate heat transfer
TL;DR: These findings establish the potential of single-step PPO for reliable black-box optimization of computational fluid dynamics (CFD) systems, and pave the way for future progress in the optimal control of conjugate heat transfer using this new class of methods.
Posted Content
Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling
TL;DR: These findings establish the potential of single-step PPO for reliable black-box optimization of computational fluid dynamics (CFD) systems, and pave the way for future progress in the optimal control of conjugate heat transfer using this new class of methods.
Patent
Thermal convection field/substance diffusion field design supporting method, design supporting system, and design supporting program
Kazunari Momose,Kaoru Ikejima +1 more
TL;DR: In this paper, a general-purpose, highly convenient design support method and design support system for a heat convection field or a mass diffusion field which significantly reduce the number of times of numerical simulation required to examine the designing parameters for achieving the design purpose.
Patent
Design support system for a heat convection field
Kazunari Momose,Kaoru Ikejima +1 more
TL;DR: In this article, a general-purpose, highly convenient design support method and design support system for a heat convection field or a mass diffusion field which significantly reduce the number of times of numerical simulation required to examine the designing parameters for achieving the design purpose.
References
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Book
Numerical heat transfer and fluid flow
TL;DR: In this article, the authors focus on heat and mass transfer, fluid flow, chemical reaction, and other related processes that occur in engineering equipment, the natural environment, and living organisms.
Book
Computational methods for fluid dynamics
Joel H. Ferziger,Milovan Perić +1 more
TL;DR: This text develops and applies the techniques used to solve problems in fluid mechanics on computers and describes in detail those most often used in practice, including advanced techniques in computational fluid dynamics.
Book
Computational techniques for fluid dynamics
TL;DR: In this article, the dynamique des : fluides, equations : differentielles, analyse, elements : finis, stabilite, stationnaire, mathematiques, methodes, numeriques, etc.