[HTML][HTML] Significance of sensors for industry 4.0: Roles, capabilities, and applications
Sensors play a crucial role in factory automation in making the system intellectual. Different
types of sensors are available as per the suitability and applications; some of them are …
types of sensors are available as per the suitability and applications; some of them are …
[HTML][HTML] Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing
Artificial intelligence (AI) embedded within digital models of manufacturing processes can be
used to improve process productivity and product quality significantly. The application of …
used to improve process productivity and product quality significantly. The application of …
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 …
identification in friction stir welding. This work aims to identify the tunnel defect inside the …
Industry 4.0 in welding
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 …
known as “Industry 4.0”, and its application in welding. While considering all the …
A Critical Review on the Trends Toward Effective Online Monitoring of Defects in Friction Stir Welding of Aluminum Alloys
Structural integrity and high specific stiffness made wide applicability of aluminum alloys for
various transport vessels in the automobile and aerospace industries. The advent of friction …
various transport vessels in the automobile and aerospace industries. The advent of friction …
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 …
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
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 …
stir welding (FSW) has been a suitable method for joining these thermoplastic materials …
A universal machine-learning-based automated testing system for consumer electronic products
Consumer electronic manufacturing (CEM) companies face a constant challenge to maintain
quality standards during frequent product launches. A manufacturing test verifies product …
quality standards during frequent product launches. A manufacturing test verifies product …
Sensor based real-time information for monitoring and control of a manufacturing process
This paper demonstrates a real-time process monitoring and control framework for the
implementation of Industry 4.0 in manufacturing. For a case study, friction stir welding (FSW) …
implementation of Industry 4.0 in manufacturing. For a case study, friction stir welding (FSW) …
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes
J Breitenbach, T Dauser, H Illenberger… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Welding is an indispensable manufacturing process widely used across different
commercial industries. Embedded monitoring and control systems are necessary to make …
commercial industries. Embedded monitoring and control systems are necessary to make …