Milling Tool Condition Monitoring Based on an Integrated Wireless Vibration Sensing Tool Holder
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12541-024-01089-2.pdf
Reference39 articles.
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4. Şap, E., Usca, Ü. A., & Şap, S. (2023). Impacts of environmentally friendly milling of inconel-800 superalloy on machinability parameters and energy consumption. International Journal of Precision Engineering and Manufacturing-Green Technology, 11(3), 781–797. https://doi.org/10.1007/s40684-023-00579-4
5. Aliustaoglu, C., Ertunc, H. M., & Ocak, H. (2009). Tool wear condition monitoring using a sensor fusion model based on fuzzy inference system. [Tool wear condition monitoring using a sensor fusion model based on fuzzy inference system]. Mechanical Systems and Signal Processing, 23(2), 539–546. https://doi.org/10.1016/j.ymssp.2008.02.010
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