Investigating the influence of macroscopic surface structures on the
thermal contact conductance using infrared thermography

Helmig, Thorsten; Al-Sibai, Faruk; Kneer, Reinhold; Burghold, E.M.

doi:10.11159/enfht20.166

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…The surface finish descriptors should satisfactorily represent the three-dimensional (3D) topographies of the mold surfaces produced by various finish machining techniques. It is widely agreed that a single parameter of arithmetic mean height (S a ) is not sufficient to describe the surface textures [35]. To determine the relevant roughness parameters of surface finishes produced by abrasive machining, alongside with S a , other functional parameters, including core roughness depth (S k ), reduced peak height (S pk ), and reduced valley depth (S vk ), are necessarily taken into account [36].…”

Section: Selection Of Descriptorsmentioning

confidence: 99%

Machine learning-based predictive modeling of contact heat transfer

Gulati

Vogel

et al. 2021

International Journal of Heat and Mass Transfer

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Section: Selection Of Descriptorsmentioning

confidence: 99%

Machine learning-based predictive modeling of contact heat transfer

Gulati

Vogel

et al. 2021

International Journal of Heat and Mass Transfer

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“…The application of the transient IHCP to estimate the heat transfer coefficient was reviewed by Xian et al, [15]. The phenomenon of heat transfer at contact surfaces was studied by several researchers [16][17][18]. Vu et al, [19] investigated the process of printing nonisothermal glass.…”

Section: Introductionmentioning

confidence: 99%

Application of the Conjugate Gradient Method for Predicting Unknown Heat Flux in 2D Plat under Effect of Insulation

Ari Satmoko,

Engkos Achmad Kosasih,

Muhammad Irfan Dzaky

et al. 2023

ARFMTS

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When an anomaly is discovered during a thermal inspection of industrial equipment, the diagnosis of finding the heat source is made more difficult by the presence of heat insulation. The use of the Conjugate Gradient Method (CGM) to solve the unknown heat flux in Inverse Heat Conduction Problem (IHCP) under insulation condition has been discussed. This method is used to predict a heat flux by utilizing temperature data at any points of measurement. The study deals with the structure of 2D thin plate at steady state. A copper plate with a thickness of 1 mm is used as specimen. White glass wool is used to thermally insulate the plate on the back surface. An electrical heater is plate mounted and operated by varying the DC voltage. A datalogger with thermocouple sensors records plate temperature changes. Software for solving the IHCP based on the CGM was developed. Initially, the software was implemented using synthetic data obtained from the forward heat conduction equations with a known heat flux. Simulated measurement data are assumed to have high accuracy (± 0.1 ºC). Determination of heat flux with the CGM gives very satisfactory results with a low error below 0.12%. The CGM was then applied using experimental data. With a measurement error of ± 0.5 ºC, the computational stopping criterion can still be met satisfactorily. In real installations, equipment is sometimes partially or completely isolated. In the experiment, this phenomenon is simulated by varying the isolation area as follows: 0%, 25%, 50% and 100%. The results of the flux calculation are correlated with the real flux supplied by the electrical heater. Each type of insulation area has a similar curve. By obtaining the correlation equation, the equivalent heat flux from calculation to real and vice versa can be carried out.

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A novel approach to generate non-isotropic surfaces for numerical quantification of thermal contact conductance

Helmig

Göttlich

Kneer

2021

J. Phys.: Conf. Ser.

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The quantification of heat flow between machine tool components is of major importance for a precise thermal prediction of the entire system. A common coupling condition between individual components is the contact heat transfer coefficient connecting the temperature field with the corresponding heat transfer at the investigated interface. However, the majority of numerical and analytical approaches assume isotropic contact surface profiles and neglect distinct surface structures caused by the manufacturing process. This assumption causes inaccuracies in the modeling as isotropic surfaces lead to an overprediction in heat transfer. Hence, this paper presents a novel approach to generate surface structures for numerical calculations considering the used machining parameters. Predicted contact heat transfer coefficients of the old as well as the new generation approach are presented and compared to experimental results offering the basis for future comprehensive investigations considering multiple parameters and materials.

show abstract

Investigating the influence of macroscopic surface structures on the thermal contact conductance using infrared thermography

Cited by 3 publications

References 22 publications

Machine learning-based predictive modeling of contact heat transfer

Machine learning-based predictive modeling of contact heat transfer

Application of the Conjugate Gradient Method for Predicting Unknown Heat Flux in 2D Plat under Effect of Insulation

A novel approach to generate non-isotropic surfaces for numerical quantification of thermal contact conductance

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