Experimental Investigations of Micro-Meso Damage Evolution for a Co/WC-Type Tool Material with Application of Digital Image Correlation and Machine Learning

Experimental Investigations of Micro-Meso Damage Evolution for a Co/WC-Type Tool Material with Application of Digital Image Correlation and Machine Learning

Commercial Co/WC/diamond composites are hard metals and very useful as a kind of tool material, for which both ductile and quasi-brittle behaviors are possible. This work experimentally investigates their damage evolution dependence on microstructural features. The current study investigates a diffe...

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Bibliographic Details
Main Authors: Yanling Schneider, Reiner Zielke, Chensheng Xu, Muhammad Tayyab, Ulrich Weber, Siegfried Schmauder, Wolfgang Tillmann
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Materials
Subjects:
micro-computed tomography (μCT)
digital image correlation
local strain map
damage evolution
machine learning
Online Access:https://www.mdpi.com/1996-1944/14/13/3562

Internet

https://www.mdpi.com/1996-1944/14/13/3562

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