Experimental Verification of the Inverse Method of the Heat Transfer Coefficient Calculation

Duda, Piotr; Konieczny, Mariusz

doi:10.3390/en13061440

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Duda and Konieczny [64] analysed the HTC distribution in time and space on the inner surface of a horizontal thick-walled collector, which was divided in half using a horizontal 5 mm thick partition. The collector with the initial temperature of 22 • C was heated by the flow of oil with the temperature of 180 • C through its lower part.…”

Section: Inverse Methodsmentioning

confidence: 99%

Heat Transfer Coefficient Distribution—A Review of Calculation Methods

Duda

2023

Energies

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Determination of the heat transfer coefficient (HTC) distribution is important during the design and operation of many devices in microelectronics, construction, the car industry, drilling, the power industry and research on nuclear fusion. The first part of the manuscript shows works describing how a change in the coefficient affects the operation of devices. Next, various methods of determining the coefficient are presented. The most common method to determine the HTC is the use of Newton’s law of cooling. If this method cannot be applied directly, there are other methods that can be found in the open literature. They use analytical formulations, the lumped thermal capacity assumption, the 1D unsteady heat conduction equation for a semi-infinite wall, the fin model, energy conservation and the analogy between heat and mass transfer. The HTC distribution can also be calculated by means of computational fluid dynamics (CFD) modelling if all boundary conditions with fluid and solid properties are known. Often, the surface on which the HTC is to be determined is not accessible for any measuring sensors, or their installation might disturb the analysed phenomenon. It also happens that calculations using direct or CFD methods cannot be performed due to the lack of required boundary conditions or sufficiently proven models to analyse the considered physical phenomena. Too long a calculation time needed by CFD tools may also be problematic if the method should be used in the online mode. One way to solve the above problem is to assume an unknown boundary condition and include additional information from the sensors located at a certain distance from the investigated surface. The problem defined in this way can be solved by inverse methods. The aim of the paper is to show the current state of knowledge regarding the importance of the heat transfer coefficient and the variety of methods that can be used for its determination.

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Section: Inverse Methodsmentioning

confidence: 99%

Heat Transfer Coefficient Distribution—A Review of Calculation Methods

Duda

2023

Energies

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“…Numerical analysis of phenomena taking place in a flowing fluid is very time-consuming. Another way to determine the temperature distribution is to find the solution of the inverse heat conduction problem (IHCP) in the device under analysis [1][2][3][4] and verify it experimentally [5]. Despite the unknown boundary condition, the proposed method makes it possible to determine the temperature field using "measured" temperature histories determined in easily accessible points on the component outer surface, using energy balance equations.…”

Section: Extended Abstractmentioning

confidence: 99%

The Impact of the Location of Temperature Sensors on the Accuracy of Transient-State Temperature Distribution Identification

Konieczny¹

2020

International Conference on Fluid Flow and Thermal Science

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“…Experimental testing of the inverse method of heat transfer coefficient determination was the subject of Ref. [37]. The main aim was to propose a method that can be used to solve the problems of nonlinear inverse heat conduction problem and to determine the local heat transfer coefficients on the unknown boundary.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Coefficient Determination during FC-72 Flow in a Minichannel Heat Sink Using the Trefftz Functions and ADINA Software

2020

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This work focuses on subcooled boiling heat transfer during flow in a minichannel heat sink with three or five minichannels of 1 mm depth. The heated element for FC-72 flowing along the minichannels was a thin foil of which temperature on the outer surface was measured due to the infrared thermography. The test section was oriented vertically or horizontally. A steady state heat transfer process and a laminar, incompressible flow of the fluid in a central minichannel were assumed. The heat transfer problem was described by the energy equations with an appropriate system of boundary conditions. Several mathematical methods were applied to solve the heat transfer problem with the Robin condition to determine the local heat transfer coefficients at the fluid/heated foil interface. Besides the 1D approach as a simple analytical method, a more sophisticated 2D approach was proposed with solutions by the Trefftz functions and ADINA software. Finite element method (FEM) calculations were conducted to find the temperature field in the flowing fluid and in the heated wall. The results were illustrated by graphs of local heated foil temperature and transfer coefficients as a function of the distance from the minichannel inlet. Temperature distributions in the heater and the fluid obtained from the FEM computations carried out by ADINA software were also shown. Similar values of the heat transfer coefficient were obtained in both the FEM calculations and the 1D approach. Example boiling curves indicating nucleation hysteresis are shown and discussed.

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Experimental Verification of the Inverse Method of the Heat Transfer Coefficient Calculation

Cited by 3 publications

References 18 publications

Heat Transfer Coefficient Distribution—A Review of Calculation Methods

Heat Transfer Coefficient Distribution—A Review of Calculation Methods

The Impact of the Location of Temperature Sensors on the Accuracy of Transient-State Temperature Distribution Identification

Heat Transfer Coefficient Determination during FC-72 Flow in a Minichannel Heat Sink Using the Trefftz Functions and ADINA Software

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