What is it about?
Main aim is to improve the milling process's performance by reducing vibration. Identification of Chatter in it is compared with DL and the best performing DL algorithm is chosen.
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Photo by Sven Daniel on Unsplash
Why is it important?
The composite material's machining processes and settings in order to create the key component for the finished assembly and attain the required geometrical shapes and dimensional tolerances.
Perspectives
I hope this article will be useful for the readers to get idea about the Deep Learning techniques and also for the researchers to provide a great performance in machining process.
Sharmila Devi J
AVC College of Engineering
Read the Original
This page is a summary of: Comparative analysis on recent deep learning techniques for identifying chatter in milling process, Journal of Intelligent & Fuzzy Systems, March 2023, IOS Press,
DOI: 10.3233/jifs-221091.
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