Defects identification using the improved ultrasonic measurement model and support vector machines-Reference-Cited by-同舟云学术

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Defects identification using the improved ultrasonic measurement model and support vector machines

Published:2020-04 Issue: Volume:111 Page:102223
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Xiao Huifang,Chen Dan,Xu Jinwu,Guo Shifeng

Funder

Natural Science Foundation of Guangdong

Guangdong Frontier and Key Technological Innovation

Science and Technology Innovation Commission of Shenzhen

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference25 articles.

1. Deoxidation impact on non-metallic inclusions and characterization methods;Nicoli;J Cast Mater Eng,2018

2. Modeling and measurements of multiphase flow and bubble entrapment in steel continuous casting;Jin;Metall Mater Trans B,2016

3. Method and analysis for determining yielding of titanium alloy with nonlinear Rayleigh surface waves;Guo;Mater Sci Eng, A,2016

4. Inclusion evolution after calcium addition in low carbon Al-killed steel with ultra low sulfur content;Yang;ISIJ Int,2015

5. Effect of non-metallic inclusions on butterfly wing initiation, crack formation, and spall geometry in bearing steels;Moghaddam;Int J Fatigue,2015

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