Transient Contact Heat Transfer Coefficients From Infrared Temperature Measurements

Fieberg, C.; Kneer, Reinhold; Korthäuer, M.; El-Magd, Essam

doi:10.1615/ihtc13.p27.80

Cited by 4 publications

(7 citation statements)

References 0 publications

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“…At lower applied pressure of 17 MPa, a was equal to 2200W/(m 2 *K) while that of 100 MPa is 8500 W/(m 2 *K). This behavior agrees with previous reporting [3,6]. Applying an interstitial coat of Molykote with an average thickness of 30 lm was examined in similar procedure for two different material combination (X45CrSi93/ PLS340 and Nimonic80A / PL33MV400) at moderate pressure ranges.…”

Section: Effect Of Applied Pressuresupporting

confidence: 89%

“…The magnitude of a is almost the same but at higher pressure of 32 MPa. Previous work [3] reported that temperature has no significant effect on the overall coefficient of heat transfer regarding the temperature difference is kept constant namely; 80/60, 180/160 and 280/260 C. However in our experiment the temperature difference is higher causing sudden higher thermal surface contraction of the warm specimen which in turn affects the effective contact area. Also thermal conductivity of Molykote operates at temperature less than 400 C according to the manufacturer's data sheet.…”

Section: Effect Of Applied Pressurecontrasting

confidence: 51%

“…Nearly the other combinations show a linear trend in the whole investigated domain. The different behaviours are attributed to the relative microhardness of each material with Molykote coat [2,3,8,10,11]. The first combination has a relative hardness difference as Nimonic 80A strength is almost 60 % of PL33MV400, while other material combinations have close mechanical properties.…”

Section: Effect Of Materials Combinationmentioning

confidence: 99%

“…Then the inversion of the discrete energy equation is solved by the conjugate gradient method [5]. Increase of the problem solution stability is achieved through temperature tracing of more than one point [3]. Cost function of the measured and calculated temperatures is minimized using average temperature of a scanned lines 65 lm away from each side of the contact line.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling of Transient Thermal Contact Resistance out of Conjugate Gradient Method

Elsabbagh¹,

Fieberg²,

El-Magd³

et al. 2007

Materialwissenschaft Werkst

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Temperature profile at contacting pairs of any material combination is crucial in many engineering applications. A new experimental approach is suggested to estimate the contact heat transfer coefficient as well as the thermal contact resistance. This method is based on temperature infrared measurements of contact bodies and then solve the inverse problem with conjugate gradient method. Different affecting parameters are studied namely; surface roughness, presence of interlayer, applied pressure and bodies temperature difference. The time dependant heat transfer coefficients resulting from the proposed method need to be validated by a computer model. Close results are shown with slight deviation by the increase of the applied pressure and the temperature difference.

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Section: Effect Of Applied Pressuresupporting

confidence: 89%

Section: Effect Of Applied Pressurecontrasting

confidence: 51%

Section: Effect Of Materials Combinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling of Transient Thermal Contact Resistance out of Conjugate Gradient Method

Elsabbagh¹,

Fieberg²,

El-Magd³

et al. 2007

Materialwissenschaft Werkst

Self Cite

View full text Add to dashboard Cite

show abstract

“…The algorithm employed to solve the inverse heat conduction problem is the conjugate gradient method [19], which has been used in this context by other authors before [17,18,20]. Due to the ill-posed nature of the inverse problem on hand, a determination of the contact heat transfer coefficient using the recorded temperatures directly yields non-physical results, since measurement errors will be amplified, generating fluctuations in the output.…”

Section: Methodsmentioning

confidence: 99%