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 …

Sensor based real-time information for monitoring and control of a manufacturing process

D Mishra, A Gupta, P Raj, A Kumar… - Engineering …, 2021 - iopscience.iop.org
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) …

Real time monitoring and control of friction stir welding process using multiple sensors

D Mishra, A Gupta, P Raj, A Kumar, S Anwer… - CIRP Journal of …, 2020 - Elsevier
In the present work, a novel cloud-based remote and real time monitoring and control
scheme has been developed for a manufacturing process named friction stir welding (FSW) …

A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0

D Mishra, RB Roy, S Dutta, SK Pal… - Journal of Manufacturing …, 2018 - Elsevier
This review is on the various techniques and methodologies applied to sensor based
monitoring of the quality and control of defects in an advanced joining process named …

Data-Driven Analysis of Friction Stir Welding for Aerospace Applications

M Camps, M Etxegarai, F Bonada… - Artificial Intelligence …, 2021 - ebooks.iospress.nl
Industry 4.0 and the digitalization of the manufacturing processes have brought new
opportunities and strategies for process control and optimization. Friction Stir Welding is …

Automated visual inspection of friction stir welds: a deep learning approach

R Hartl, J Landgraf, J Spahl… - Multimodal sensing …, 2019 - spiedigitallibrary.org
Friction stir welding is a solid-state welding process. The technology is used in high
precision applications such as aerospace. Thus, monitoring the weld quality is highly …

Process monitoring in friction stir welding using convolutional neural networks

R Hartl, A Bachmann, JB Habedank, T Semm, MF Zaeh - Metals, 2021 - mdpi.com
Preliminary studies have shown the superiority of convolutional neural networks (CNNs)
compared to other network architectures for determining the surface quality of friction stir …

Welding process monitoring applications and industry 4.0

M Benakis, C Du, A Patran… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
With the fourth industrial revolution in progress, traditional manufacturing processes are
being transformed. Fusion welding is no exception from this transformation. The centuries …

Non-destructive evaluation of the friction stir welding process, generalizing a deep neural defect detection network to identify internal weld defects across different …

P Rabe, U Reisgen, A Schiebahn - Welding in the World, 2023 - Springer
Friction stir welding (FSW) is a solid-state welding process, which has significantly disrupted
welding technology particularly for aluminum alloy applications. Due to its high-quality welds …

An open-source toolkit for retrofit industry 4.0 sensing and monitoring applications

KA Nsiah, M Schappacher, C Rathfelder… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
The last several years have witnessed a paradigm shift in industry that has now ushered in
the fourth industrial revolution era also referred to as Industry 4.0. This new technology …