[PDF][PDF] 数字孪生驱动的智能人机协作: 理论, 技术与应用

杨赓, 周慧颖, 王柏村 - 机械工程学报, 2022 - qikan.cmes.org
随着人-信息-物理系统(Human-cyber-physical systems, HCPS) 的发展与演进,
人机关系由人机共存, 人机交互, 人机合作逐渐发展到人机协作. 与此同时, 数字孪生等新兴使能 …

[HTML][HTML] Deep learning approaches for force feedback based void defect detection in friction stir welding

P Rabe, A Schiebahn, U Reisgen - Journal of Advanced Joining Processes, 2022 - Elsevier
Abstract The Friction Stir Welding (FSW) process is known as a solid state welding process
comparably stable against external disturbances in its steady state. Therefore, the process is …

Detection of tunnel defects in friction stir welded aluminum alloy joints based on the in-situ force signal

W Guan, D Li, L Cui, D Wang, S Wu, S Kang… - Journal of Manufacturing …, 2021 - Elsevier
The demand for high quality and effective manufacturing has raised the need for defect
identification in friction stir welding. This work aims to identify the tunnel defect inside the …

Study on the relationship between welding force and defects in bobbin tool friction stir welding

Z Liu, W Guan, H Li, D Wang, L Cui - Journal of Manufacturing Processes, 2022 - Elsevier
In this paper, the characteristics of traverse force (Fx), lateral force (Fy), and axial force (Fz)
in bobbin tool friction stir welding (BTFSW) and their relationship with welding defects were …

Understanding process force transients with application towards defect detection during friction stir welding of aluminum alloys

D Franke, S Rudraraju, M Zinn… - Journal of Manufacturing …, 2020 - Elsevier
The formation of sub-surface defects during friction stir welding has limited the adoption of
the process in high volume production. A potential exists to eliminate/reduce the need for …

Welding quality evaluation of resistance spot welding based on a hybrid approach

D Zhao, M Ivanov, Y Wang, W Du - Journal of Intelligent Manufacturing, 2021 - Springer
In this investigation, the welding quality of TC2 titanium alloy with 0.4 mm thickness was
predicted using two regression models and an artificial neural network model. The welding …

Weld defect identification in friction stir welding through optimized wavelet transformation of signals and validation through X-ray micro-CT scan

RB Roy, A Ghosh, S Bhattacharyya, RP Mahto… - … International Journal of …, 2018 - Springer
For control of real-time Internet of Things (IoT)-based remote welding process, continuous
detection of defects occurring in the weld sample is of utmost importance so that welding …

Industry 4.0 in welding

D Mishra, SK Pal, D Chakravarty - Welding Technology, 2021 - Springer
This chapter aims to highlight the importance of the fourth industrial revolution, popularly
known as “Industry 4.0”, and its application in welding. While considering all the …

Monitoring of friction stir welding for dissimilar Al 6063 alloy to polypropylene using sensor signals

SK Sahu, K Pal, RP Mahto, P Dash - The International Journal of …, 2019 - Springer
The present work addresses the feasibility of friction stir butt welding of dissimilar Al6063 to
polypropylene for cylindrical and threaded tool pin profile at different tool positions like tool …

A rapid detection method for the surface defects of mosaic ceramic tiles

G Dong, S Sun, N Wu, X Chen, P Huang, Z Wang - Ceramics International, 2022 - Elsevier
Due to its unique artistic value, mosaic ceramics are widely used in construction-related
fields. To meet the artist's demand for high-quality mosaic ceramic to create artistic works, it …