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Modeling thermal contact resistance at the finger-object interface.

Konrad Rykaczewski1

  • 1School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.

Temperature (Austin, Tex.)
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Summary

The Prasher and Matayabas (PM) model better predicts finger-object thermal contact resistance than the older Cooper, Mikic, and Yovanovich (CMY) model. The PM model

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Contact resistancefingerheat transfermodelingskinsoft materials

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Area of Science:

  • Physics
  • Thermal Engineering
  • Biophysics

Background:

  • Thermal contact resistance at the finger-object interface influences thermal perception and device design.
  • Current estimation relies on experimental measurement or the Cooper, Mikic, and Yovanovich (CMY) semi-empirical model.
  • The CMY model was developed for metal-metal interfaces in a vacuum.

Purpose of the Study:

  • To evaluate the accuracy of the Prasher and Matayabas (PM) correlation for predicting finger-object thermal contact resistance.
  • To investigate the physical basis of the PM correlation.
  • To compare the predictive capabilities of the PM and CMY models across various materials and contact pressures.

Main Methods:

  • Analysis of previously published experimental data sets.
  • Comparison of predictions from the PM and CMY models against experimental data.
  • Scale analysis to derive the functional form of the PM correlation.

Main Results:

  • The PM model demonstrates superior prediction accuracy for finger-object thermal contact resistance compared to the CMY model.
  • The PM correlation's functional form can be derived from scale analysis, supporting its physics-based nature.
  • The PM model accurately predicts thermal resistance for highly conductive materials (e.g., aluminum, marble) across a range of pressures.
  • For less conductive materials (e.g., wood), both models provide only order-of-magnitude estimates.

Conclusions:

  • The Prasher and Matayabas (PM) model is a more effective tool for predicting thermal contact resistance at the finger-object interface.
  • The PM model's derivation from scale analysis provides a physical foundation for its empirical success.
  • Accurate prediction is achievable for more conductive materials, while less conductive materials present greater challenges.