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Temperature Distribution of Vessel Tissue by High Frequency Electric Welding with Combination Optical Measure and Simulation.
Wang, Hao; Yang, Xingjian; Madeniyeti, Naerzhuoli; Qiu, Jian; Zhu, Caihui; Yin, Li; Liu, Kefu.
Afiliação
  • Wang H; Academy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
  • Yang X; Academy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
  • Madeniyeti N; Academy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
  • Qiu J; School of Information Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China.
  • Zhu C; School of Information Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China.
  • Yin L; School of Information Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China.
  • Liu K; Academy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
Biosensors (Basel) ; 12(4)2022 Mar 31.
Article em En | MEDLINE | ID: mdl-35448269
ABSTRACT
In clinical surgery, high frequency electric welding is routinely utilized to seal and fuse soft tissues. This procedure denatures collagen by electrothermal coupling, resulting in the formation of new molecular crosslinks. It is critical to understand the temperature distribution and collagen structure changes during welding in order to prevent thermal damage caused by heat generated during welding. In this study, a method combining optical measurement and simulation was presented to evaluate the temperature distribution of vascular tissue during welding, with a fitting degree larger than 97% between simulation findings and measured data. Integrating temperature distribution data, strength test data, and Raman spectrum data, it is discovered that optimal parameters exist in the welding process that may effectively prevent thermal damage while assuring welding strength.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Soldagem Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Soldagem Idioma: En Ano de publicação: 2022 Tipo de documento: Article