First Steps through Intelligent Grinding Using Machine Learning via Integrated Acoustic Emission Sensors

First Steps through Intelligent Grinding Using Machine Learning via Integrated Acoustic Emission Sensors

The surface roughness of the ground parts is an essential factor in the assessment of the grinding process, and a crucial criterion in choosing the dressing and grinding tools and parameters. Additionally, the surface roughness directly influences the functionality of the workpiece. The application...

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Bibliographic Details
Main Authors: Siamak Mirifar, Mohammadali Kadivar, Bahman Azarhoushang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
grinding
artificial neural networks
acoustic emission
online monitoring
process prediction
Online Access:https://www.mdpi.com/2504-4494/4/2/35

Internet

https://www.mdpi.com/2504-4494/4/2/35

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