Development of an Internet of Things enabled manufacturing system for tool wear characterization
Author(s)
Arunachalam, N.
Thoravi Kumaravel, Balasaravanan
Bhattacharyya, Rahul
Siegel, Joshua E
Sarma, Sanjay E
Date Issued
December 2017
Journal
2017 IEEE 3rd International Symposium in Robotics and Manufacturing Automation (ROMA)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Kumaravel, Balasaravanan T., et al. “Development of an Internet of Things Enabled Manufacturing System for Tool Wear Characterization.” 2017 IEEE 3rd International Symposium in Robotics and Manufacturing Automation (ROMA), 19-21 September, Kuala Lumpur, Malaysia, 2016, IEEE, 2017, pp. 1–6.
Version
Author's final manuscript
Abstract
The Internet of Things (IoT) can reduce manufacturing cost, improve uptime, and help operators gain process insights. In this paper, we develop a system architecture for an IoT-enabled manufacturing system and demonstrate it on a bench-top milling machine. We explore on how we can build such a laboratory-scale system with commonly available, low-cost electronic sensors. Factors for designing such a system have been explored. The designed manufacturing system can take manufacturing inputs as G-Codes from the internet via a website as well as stream the data from several sensors to the internet. Engineering implementation of the system as well as its underlying ideology have been discussed. Micro ElectroMechanical System (MEMS) sensors have low cost, smaller form factor as well as tend to work with a variety of IoT enabled systems. This work evaluates the feasibility of using them for condition monitoring in manufacturing. These systems embody a sort of primary unit for enabling the `Smart Factory' revolution.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ROMA.2017.8231733
