Multi-feature fusion imaging via machine learning for laser ultrasonic based defect detection in selective laser melting part-Reference-Cited by-同舟云学术

Multi-feature fusion imaging via machine learning for laser ultrasonic based defect detection in selective laser melting part

Published:2022-06 Issue: Volume:150 Page:107918
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Xu Wanli,Li Xiaohong,Zhang Jun

Funder

National Key Research and Development Program of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

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4. Van Paepegem, A unified approach to model the effect of porosity and high surface roughness on the fatigue properties of additively manufactured Ti6-Al4-V alloys;Dinh;Addit. Manuf.,2020

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