Determination of the Cutting-Edge Microgeometry Based on Process Forces during Peripheral Milling of Ti-6Al-4V Using Machine Learning

Determination of the Cutting-Edge Microgeometry Based on Process Forces during Peripheral Milling of Ti-6Al-4V Using Machine Learning

The residual stress state of the machined sub-surface influences the service quality indicators of a component, such as fatigue life, tribological properties, and distortion. During machining, the radius of the cutting edge changes due to tool wear. The cutting-edge rounding significantly affects th...

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Bibliographic Details
Main Authors: Matthias Wimmer, Roman Hartl, Michael F. Zaeh
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
milling
titanium alloy Ti-6Al-4V
residual stresses
process forces
cutting-edge radius
machine learning
Online Access:https://www.mdpi.com/2504-4494/7/3/100

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