@Article{hmt.12.27,
AUTHOR = {Nazia Afrin
, Yuwen Zhang},
TITLE = {SURROGATE-BASED OPTIMIZATION OF THERMAL DAMAGE TO  LIVING BIOLOGICAL TISSUES BY LASER IRRADIATION},
JOURNAL = {Frontiers in Heat and Mass Transfer},
VOLUME = {12},
YEAR = {2019},
NUMBER = {1},
PAGES = {1--6},
URL = {http://www.techscience.com/fhmt/v12n1/53196},
ISSN = {2151-8629},
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.},
DOI = {10.5098/hmt.12.27}
}