Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors

Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors

The prevalence of micro-holes is widespread in mechanical, electronic, optical, ornaments, micro-fluidic devices, etc. However, monitoring and detection tool wear and tool breakage are imperative to achieve improved hole quality and high productivity in micro-drilling. The various multi-sensor signa...

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Bibliographic Details
Main Authors: Jitesh Ranjan, Karali Patra, Tibor Szalay, Mozammel Mia, Munish Kumar Gupta, Qinghua Song, Grzegorz Krolczyk, Roman Chudy, Vladislav Alievich Pashnyov, Danil Yurievich Pimenov
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
micro drilling
vibration
cutting force
wavelet packet
adaptive neuro fuzzy inference system
Online Access:https://www.mdpi.com/1424-8220/20/3/885

Internet

https://www.mdpi.com/1424-8220/20/3/885

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