Abstract
Tool wear and tool breakage are two important aspects of the metal cutting process that are not well understood. Tool wear has a strong effect on both the dimensional accuracy and the surface finish of the workpiece. Wear can reach values that lead to catastrophic failure of the tool, resulting in high forces which in turn may damage the workpiece or even the machine tool. This fact stresses the importance of tool monitoring.
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Hermann, G. (2014). Application of Artificial Intelligence Techniques in Monitoring Drilling Processes. In: Fodor, J., Fullér, R. (eds) Advances in Soft Computing, Intelligent Robotics and Control. Topics in Intelligent Engineering and Informatics, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-05945-7_4
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DOI: https://doi.org/10.1007/978-3-319-05945-7_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05944-0
Online ISBN: 978-3-319-05945-7
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