TY - JOUR
T1 - Laser opto-ultrasonic dual detection for simultaneous compositional, structural, and stress analyses for wire + arc additive manufacturing
AU - Ma, Yuyang
AU - Hu, Zhenlin
AU - Tang, Yun
AU - Ma, Shixiang
AU - Chu, Yanwu
AU - Li, Xin
AU - Luo, Wei
AU - Guo, Lianbo
AU - Zeng, Xiaoyan
AU - Lu, Yongfeng
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (No. 61575073). We thank the following people for their support with the in comparison experiments: Dr Zhenggan Zhou, Dr Kuanshuang Zhang and Mr Wentao Li (Beihang University).
Funding Information:
This work was supported by the National Natural Science Foundation of China (No. 61575073 ). We thank the following people for their support with the in comparison experiments: Dr Zhenggan Zhou, Dr Kuanshuang Zhang and Mr Wentao Li ( Beihang University ).
Publisher Copyright:
© 2019
PY - 2020/1
Y1 - 2020/1
N2 - The complex, nonequilibrium physical, chemical, and metallurgical nature of additive manufacturing (AM) tends to lead to uncontrollable and unpredictable material and structural properties. Therefore, real-time monitoring of AM is of great significance. However, current AM relies on separate postprocess analyses, which are usually destructive, costly, and time-consuming. In this study, we investigated a laser opto-ultrasonic dual (LOUD) detection approach for simultaneous and real-time detection of elemental compositions, structural defects, and residual stress in aluminium (Al) alloy components during wire + arc additive manufacturing (WAAM) processes. In this approach, a pulsed-laser beam was used to excite the surfaces of Al alloy samples to generate ultrasound and optical spectra. As a result, the compositional information can be obtained from the optical spectra, while the structural defects and residual stress distributions can be extracted from the ultrasonic signals. The silicon (Si) and copper (Cu) compositions obtained from optical spectral analyses are consistent with those obtained from the electron-probe microanalyses (EPMA). The 1 mm blowhole and the residual stress distribution of the sample were detected by the ultrasonic signals in the LOUD detection, which shows consistency with the conventional ultrasonic testing (UT). Both results indicate that the LOUD detection holds the promising of becoming an effective testing method for AM processes to ensure quality control and process feedback.
AB - The complex, nonequilibrium physical, chemical, and metallurgical nature of additive manufacturing (AM) tends to lead to uncontrollable and unpredictable material and structural properties. Therefore, real-time monitoring of AM is of great significance. However, current AM relies on separate postprocess analyses, which are usually destructive, costly, and time-consuming. In this study, we investigated a laser opto-ultrasonic dual (LOUD) detection approach for simultaneous and real-time detection of elemental compositions, structural defects, and residual stress in aluminium (Al) alloy components during wire + arc additive manufacturing (WAAM) processes. In this approach, a pulsed-laser beam was used to excite the surfaces of Al alloy samples to generate ultrasound and optical spectra. As a result, the compositional information can be obtained from the optical spectra, while the structural defects and residual stress distributions can be extracted from the ultrasonic signals. The silicon (Si) and copper (Cu) compositions obtained from optical spectral analyses are consistent with those obtained from the electron-probe microanalyses (EPMA). The 1 mm blowhole and the residual stress distribution of the sample were detected by the ultrasonic signals in the LOUD detection, which shows consistency with the conventional ultrasonic testing (UT). Both results indicate that the LOUD detection holds the promising of becoming an effective testing method for AM processes to ensure quality control and process feedback.
KW - Elemental composition
KW - LOUD detection
KW - Residual stress
KW - Structural defects
KW - Wire + arc additive manufacturing
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U2 - 10.1016/j.addma.2019.100956
DO - 10.1016/j.addma.2019.100956
M3 - Article
AN - SCOPUS:85075511548
SN - 2214-8604
VL - 31
JO - Additive Manufacturing
JF - Additive Manufacturing
M1 - 100956
ER -