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SURROGATE-BASED OPTIMIZATION OF THERMAL DAMAGE TO LIVING BIOLOGICAL TISSUES BY LASER IRRADIATION

Nazia Afrina , Yuwen Zhangb,*

a Department of Mechanical Engineering, St. Mary’s University, San Antonio, TX 78228, USA
b Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA

* Corresponding Author: Email: email

Frontiers in Heat and Mass Transfer 2019, 12, 1-6. https://doi.org/10.5098/hmt.12.27

Abstract

The surrogate-based analysis and optimization of thermal damage in living biological tissue by laser irradiation are discussed in this paper. Latin Hypercube Sampling (LHS) and Response Surface Model (RSM) are applied to study the surrogate-based optimization of thermal damage in tissue using a generalized dual-phase lag model. Response value of high temperature as a function of input variables and the relationship of maximum temperature and thermal damage as a function of input variables are investigated. Comparisons of SBO model and simulation results for different sample sizes are examined. The results show that every input variable individually has quadratic response to the maximum temperature and maximum thermal damage in highly absorbing tissues.

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Cite This Article

Afrin, N. (2019). SURROGATE-BASED OPTIMIZATION OF THERMAL DAMAGE TO LIVING BIOLOGICAL TISSUES BY LASER IRRADIATION. Frontiers in Heat and Mass Transfer, 12(1), 1–6.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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