Design and Development of an IoT Kit To Predict Cutting Tool Life and Generate Auto Inventory

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Authors

  • Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore 560054 ,IN
  • Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore 560054 ,IN

DOI:

https://doi.org/10.18311/jmmf/2022/32934

Keywords:

Machining, IoT, Cutting tool life, Temperature

Abstract

For the best tool life, machining precision, and maintenance, a cutting tool life prediction is crucial. As a result, an online smart diagnosis service must be created to establish an auto inventory and anticipate the cutting tool life based on temperature data. Due to the fast-cutting velocity and high work material strength, diffusion wear becomes predominant when the cutting temperature rises significantly. Based on sensorial data gathered at the factory level, knowledge-based algorithms conduct online-based inspections on utilized tool life including tool breakage occurrence. Because heat load influences tool wear rate, a thermistor is fitted to the cutting tool to alert the database server when the temperature rises. based on the data.

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Published

2023-03-15

How to Cite

Dharani, N., & H L, N. (2023). Design and Development of an IoT Kit To Predict Cutting Tool Life and Generate Auto Inventory. Journal of Mines, Metals and Fuels, 70(10A), 368–373. https://doi.org/10.18311/jmmf/2022/32934

 

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