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Documents dont l'auteur est "Shaban, Y."

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Nombre de documents: 7

A

Aramesh, M., Shaban, Y., Yacout, S., Attia, M. H., Kishawy, H. A., & Balazinski, M. (2016). Survival life analysis applied to tool life estimation with variable cutting conditions when machining titanium metal matrix composites (Ti-MMCs). Machining Science and Technology, 20(1), 132-147. Lien externe

Aramesh, M., Shaban, Y., Balazinski, M., Attia, H., Kishawy, H. A., & Yacout, S. (juin 2014). Survival life analysis of the cutting tools during turning titanium metal matrix composites (Ti-MMCs) [Communication écrite]. 6th CIRP Conference on Performance Cutting (HPC 2014), Berkeley, Cal.. Publié dans Procedia CIRP, 14. Lien externe

Aramesh, M., Shaban, Y., Balazinski, M., Attia, M. H., & Kishawy, H. A. (mai 2014). Tool life prediction via survival life analysis of the cutting inserts during turning titanium metal matrix composites (TI-MMCs) [Communication écrite]. 3rd International Conference on Vitual Machining Process Technology (VMPT 2014), University of Calgary, Calgary, Alberta. Non disponible

S

Shaban, Y., & Yacout, S. (janvier 2016). Cutting tool remaining useful life during turning of metal matrix composites [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (6 pages). Lien externe

Shaban, Y., Yacout, S., Balazinski, M., Meshreki, M., & Attia, H. (mars 2015). Diagnosis of machining outcomes based on machine learning with logical analysis of data [Communication écrite]. International Conference on Industrial Engineering and Operations Management (IEOM 2015), Dubai, United Arab Emirates (8 pages). Lien externe

Shaban, Y., Yacout, S., & Balazinski, M. (janvier 2015). Tool replacement based on pattern recognition with LAD [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, FL (6 pages). Lien externe

Shaban, Y., Yacout, S., & Balazinski, M. (2015). Tool Wear Monitoring and Alarm System Based on Pattern Recognition With Logical Analysis of Data. Journal of Manufacturing Science and Engineering, 137(4), 10 pages. Lien externe

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