Cognitive intelligence in industrial robots and manufacturing

A Mukherjee, AB Divya, M Sivvani, SK Pal - Computers & Industrial …, 2024 - Elsevier
The transition from manual to autonomous manufacturing processes, which has been
propelled by consecutive industrial revolutions, is concurrently contingent upon …

Industry 4.0 application in manufacturing for real-time monitoring and control

D Mishra, A Priyadarshi, SM Das, S Shree… - Journal of Dynamics …, 2022 - ojs.istp-press.com
Modern manufacturing aims to reduce downtime and track process anomalies to make
profitable business decisions. This ideology is strengthened by Industry 4.0, which aims to …

Mechanical performance research of friction stir welding robot for aerospace applications

H Luo, F Zhao, S Guo, C Yu, G Liu… - International Journal of …, 2021 - journals.sagepub.com
The friction stir welding robot for aerospace applications developed by the research group is
subject to the effects of size, working conditions, and other conditions during the operation …

[PDF][PDF] Digital twin-driven smart human-machine collaboration: theory, enabling technologies and applications

杨赓, 周慧颖, 王柏村 - Journal of Mechanical Engineering, 2022 - qikan.cmes.org
With the evolution of human-cyber-physical systems (HCPS), the relationships between
human and machine evolved through different phases: from human-machine coexistence …

Weld defect localization in friction stir welding process

D Mishra, S Shree, A Gupta, A Priyadarshi, SM Das… - Welding in the …, 2021 - Springer
The article attempts to detect the defects in friction stir welding (FSW) process by analyzing
the signal acquired during welding. The said welding technique utilizes pressure and heat …

Multi sensor based strategies for accurate prediction of friction stir welding of polycarbonate sheets

SK Sahu, D Mishra, K Pal… - Proceedings of the …, 2021 - journals.sagepub.com
High performance thermoplastic is often used in automotive and aerospace sectors. Friction
stir welding (FSW) has been a suitable method for joining these thermoplastic materials …

Effect of press depth on defect formation in friction-rolling additive manufacturing

H Liu, Y Liu, T Liang, R Xie, B Liu, Z Wang… - Journal of Manufacturing …, 2024 - Elsevier
Friction-rolling additive manufacturing (FRAM) is a solid-phase additive manufacturing
technology that relies on the insertion of a high-speed rotating toolhead into a previous layer …

Quality monitoring of aluminum alloy DPMIG welding based on broadband mode decomposition and MMC-FCH

Y Peng, Z Li, K He, Y Liu, Q Lu, Q Li, L Liu, R Luo - Measurement, 2020 - Elsevier
In double pulse metal inert gas (DPMIG) welding, the input broadband electrical signals are
often affected by strong noise, which will decrease the quality monitoring accuracy …

A new hybrid meta-heuristic optimization method for predicting UTS for FSW of Al/Cu dissimilar materials

MA Guvenc, B Eren, G Basar… - Proceedings of the …, 2023 - journals.sagepub.com
Joining of aluminum (Al) and copper (Cu) materials used in aerospace, automotive,
chemistry, nuclear, electrical-electronic and energy sector with traditional fusion welding …

TMSST-CK fault feature extraction method for flexible thin-wall bearing based on the Gini index principle

Y Yu, X Zhao, C Yu - Measurement Science and Technology, 2022 - iopscience.iop.org
A flexible thin-wall bearing (FTB) is forced to deform with the elastic deformation of the
flexspline in motion, resulting in a completely different fault characteristic frequency (FCF) …