The effects of water content and compression level on tissue thermal conductivity were studied. These effects are important in electrosurgery, as tissue is subjected to both compression and thermal heating. Ex vivo canine spleen tissue was used in this study. A thermal diffusion probe technique was employed to measure the tissue thermal conductivity in three different conditions. First, the tissue thermal conductivity with different water content levels was measured. The measured thermal conductivity decreased as the percentage of water within the tissue decreased. Second, the tissue thermal conductivity under compression, up to 77%, was measured and it showed a 9% reduction as the load was applied. Third, desiccated tissue was compressed, and the thermal conductivity was measured. The compression effect on thermal conductivity was less prominent in the desiccated tissue because less water was squeezed out due to compression. A three-phase Maxwell–Eucken model was developed to predict the tissue thermal conductivity for varying water content and compression levels. The model used the ratio of air, tissue fiber, and water to predict the thermal conductivity and showed a good agreement with the experimental data.
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Measurement and Modeling of Tissue Thermal Conductivity With Variable Water Content and Compression
Matthew W. Chastagner,
Matthew W. Chastagner
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
University of Michigan,
Ann Arbor, MI 48109-2125
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Robert E. Dodde,
Robert E. Dodde
Department of Biomedical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
University of Michigan,
Ann Arbor, MI 48109-2125
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Albert J. Shih,
Albert J. Shih
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125;
University of Michigan,
Ann Arbor, MI 48109-2125;
Department of Biomedical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
University of Michigan,
Ann Arbor, MI 48109-2125
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Wei Li,
Wei Li
Department of Mechanical Engineering,
University of Texas at Austin,
Austin, TX 78712-1591
University of Texas at Austin,
Austin, TX 78712-1591
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Roland K. Chen
Roland K. Chen
School of Mechanical and Materials Engineering,
Washington State University,
PO Box 642920,
Pullman, WA 99164-2920
e-mail: roland.chen@wsu.edu
Washington State University,
PO Box 642920,
Pullman, WA 99164-2920
e-mail: roland.chen@wsu.edu
Search for other works by this author on:
Matthew W. Chastagner
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
University of Michigan,
Ann Arbor, MI 48109-2125
Robert E. Dodde
Department of Biomedical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
University of Michigan,
Ann Arbor, MI 48109-2125
Albert J. Shih
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125;
University of Michigan,
Ann Arbor, MI 48109-2125;
Department of Biomedical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
University of Michigan,
Ann Arbor, MI 48109-2125
Wei Li
Department of Mechanical Engineering,
University of Texas at Austin,
Austin, TX 78712-1591
University of Texas at Austin,
Austin, TX 78712-1591
Roland K. Chen
School of Mechanical and Materials Engineering,
Washington State University,
PO Box 642920,
Pullman, WA 99164-2920
e-mail: roland.chen@wsu.edu
Washington State University,
PO Box 642920,
Pullman, WA 99164-2920
e-mail: roland.chen@wsu.edu
1Corresponding author.
Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received September 19, 2014; final manuscript received March 15, 2016; published online April 19, 2016. Assoc. Editor: Zhixiong Guo.
J. Heat Transfer. Jul 2016, 138(7): 074503 (5 pages)
Published Online: April 19, 2016
Article history
Received:
September 19, 2014
Revised:
March 15, 2016
Citation
Chastagner, M. W., Dodde, R. E., Shih, A. J., Li, W., and Chen, R. K. (April 19, 2016). "Measurement and Modeling of Tissue Thermal Conductivity With Variable Water Content and Compression." ASME. J. Heat Transfer. July 2016; 138(7): 074503. https://doi.org/10.1115/1.4033078
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