Ranking of parameters in bioheat transfer using Taguchi analysis

Modeling bioheat transfer plays an important role in the treatment planning of cancer therapy. Historically, Pennes bioheat equation has been used for bioheat transfer modeling in living tissue because of its simplicity, effectiveness and ease of application. It is imperative that the effect of each...

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Main Authors: Jamil, Muhammad, Ng, Eddie Yin-Kwee
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2012
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Online Access:https://hdl.handle.net/10356/95315
http://hdl.handle.net/10220/8821
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-953152023-03-04T17:15:17Z Ranking of parameters in bioheat transfer using Taguchi analysis Jamil, Muhammad Ng, Eddie Yin-Kwee School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Surgical assistive technology Modeling bioheat transfer plays an important role in the treatment planning of cancer therapy. Historically, Pennes bioheat equation has been used for bioheat transfer modeling in living tissue because of its simplicity, effectiveness and ease of application. It is imperative that the effect of each parameter involved in the bioheat transfer be known. The ultimate goal of a cancer treatment is to maximize the damage to the cancer affected tissue and minimize the collateral damage to the normal tissue surrounding it. This study takes into account six 3-level factors namely blood perfusion rate in healthy tissue and tumor, frequency, applied voltage, metabolic heating rate in healthy tissue and tumor. The purpose of this study is to rank the parameters involved in electromagnetic heating and determine the factors which affect the bioheat transfer the most. Maximum obtained temperature was taken as the response variable and Taguchi orthogonal arrays were used to obtain required data with minimum number of numerical experiments required. Calculations were performed in Minitab statistical software. The results show that the applied voltage has the largest effect on the maximum achieved temperature followed by frequency of the electromagnetic radiation. 2012-10-29T08:43:01Z 2019-12-06T19:12:25Z 2012-10-29T08:43:01Z 2019-12-06T19:12:25Z 2013 2013 Journal Article Jamil, M., & Ng, E. Y. K. (2012). Ranking of parameters in bioheat transfer using Taguchi analysis. International Journal of Thermal Sciences, 63, 15-21. https://hdl.handle.net/10356/95315 http://hdl.handle.net/10220/8821 10.1016/j.ijthermalsci.2012.07.002 167908 en International journal of thermal sciences © 2012 Elsevier Masson SAS. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Thermal Sciences, Elsevier Masson SAS. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at [DOI: http://dx.doi.org/10.1016/j.ijthermalsci.2012.07.002]. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Surgical assistive technology
spellingShingle DRNTU::Engineering::Mechanical engineering::Surgical assistive technology
Jamil, Muhammad
Ng, Eddie Yin-Kwee
Ranking of parameters in bioheat transfer using Taguchi analysis
description Modeling bioheat transfer plays an important role in the treatment planning of cancer therapy. Historically, Pennes bioheat equation has been used for bioheat transfer modeling in living tissue because of its simplicity, effectiveness and ease of application. It is imperative that the effect of each parameter involved in the bioheat transfer be known. The ultimate goal of a cancer treatment is to maximize the damage to the cancer affected tissue and minimize the collateral damage to the normal tissue surrounding it. This study takes into account six 3-level factors namely blood perfusion rate in healthy tissue and tumor, frequency, applied voltage, metabolic heating rate in healthy tissue and tumor. The purpose of this study is to rank the parameters involved in electromagnetic heating and determine the factors which affect the bioheat transfer the most. Maximum obtained temperature was taken as the response variable and Taguchi orthogonal arrays were used to obtain required data with minimum number of numerical experiments required. Calculations were performed in Minitab statistical software. The results show that the applied voltage has the largest effect on the maximum achieved temperature followed by frequency of the electromagnetic radiation.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Jamil, Muhammad
Ng, Eddie Yin-Kwee
format Article
author Jamil, Muhammad
Ng, Eddie Yin-Kwee
author_sort Jamil, Muhammad
title Ranking of parameters in bioheat transfer using Taguchi analysis
title_short Ranking of parameters in bioheat transfer using Taguchi analysis
title_full Ranking of parameters in bioheat transfer using Taguchi analysis
title_fullStr Ranking of parameters in bioheat transfer using Taguchi analysis
title_full_unstemmed Ranking of parameters in bioheat transfer using Taguchi analysis
title_sort ranking of parameters in bioheat transfer using taguchi analysis
publishDate 2012
url https://hdl.handle.net/10356/95315
http://hdl.handle.net/10220/8821
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