IoT-Enabled Monitoring and Control Framework for Rotary Friction Welding Processes: Smart Manufacturing Integration

Vishal Makvana; Snehal Trivedi; Bharat Tank; Vipul Dave

doi:10.2991/978-94-6239-727-9_17

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IoT-Enabled Monitoring and Control Framework for Rotary Friction Welding Processes: Smart Manufacturing Integration

Authors

Vishal Makvana¹^{, *}, Snehal Trivedi², Bharat Tank³, Vipul Dave²

¹Department of Automobile Engineering, Parul Institute of Technology, Parul University, Vadodara, Gujarat, India

²Department of Mechanical Engineering, Faculty of Engineering and Technology, Parul University, Vadodara, Gujarat, India

³Department of Computer Science & Engineering, Parul Institute of Engineering & Technology, Parul University, Vadodara, Gujarat, India

^*Corresponding author. Email: vishal.makvana12645@paruluniversity.ac.in

Corresponding Author

Vishal Makvana

Available Online 22 July 2026.

DOI: 10.2991/978-94-6239-727-9_17 How to use a DOI?
Keywords: Rotary Friction Welding; Internet of Things (IoT); Cyber-Physical Systems; Process Control; Smart Manufacturing; Industry 4.0; Predictive Analytics
Abstract: Rotary Friction Welding (RFW) represents a critical solid-state joining methodology in advanced manufacturing sectors, yet conventional implementations suffer from parameter inconsistency and limited process transparency. This research investigates the integration of Internet of Things (IoT) technologies with RFW processes to establish a comprehensive monitoring and closed-loop control system. We present a multi-layered architecture incorporating real-time sensor data acquisition, edge computing for signal preprocessing, cloud-based analytics, and automated feedback mechanisms. Experimental validation conducted on medium carbon alloy steel specimens demonstrates significant improvements in weld quality consistency, with parameter deviation reduction exceeding 40% and anomaly detection accuracy reaching 92%. The framework facilitates complete traceability and supports Industry 4.0 manufacturing paradigms. Our findings establish IoT integration as a transformative approach for modernizing friction welding operations and enhancing repeatability across industrial applications.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Sustainable Micro-Nano Materials & Innovative Technology (ICSUMMIT 2026)
Series: Atlantis Highlights in Engineering
Publication Date: 22 July 2026
ISBN: 978-94-6239-727-9
ISSN: 2589-4943
DOI: 10.2991/978-94-6239-727-9_17 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Vishal Makvana
AU  - Snehal Trivedi
AU  - Bharat Tank
AU  - Vipul Dave
PY  - 2026
DA  - 2026/07/22
TI  - IoT-Enabled Monitoring and Control Framework for Rotary Friction Welding Processes: Smart Manufacturing Integration
BT  - Proceedings of the International Conference on Sustainable Micro-Nano Materials & Innovative Technology (ICSUMMIT 2026)
PB  - Atlantis Press
SP  - 227
EP  - 234
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-727-9_17
DO  - 10.2991/978-94-6239-727-9_17
ID  - Makvana2026
ER  -

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