 | Up a level |
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. External link
Aramesh, M., Shaban, Y., Balazinski, M., Attia, H., Kishawy, H. A., & Yacout, S. (2014, June). Survival life analysis of the cutting tools during turning titanium metal matrix composites (Ti-MMCs) [Paper]. 6th CIRP Conference on Performance Cutting (HPC 2014), Berkeley, Cal.. Published in Procedia CIRP, 14. External link
Aramesh, M., Shaban, Y., Balazinski, M., Attia, M. H., & Kishawy, H. A. (2014, May). Tool life prediction via survival life analysis of the cutting inserts during turning titanium metal matrix composites (TI-MMCs) [Paper]. 3rd International Conference on Vitual Machining Process Technology (VMPT 2014), University of Calgary, Calgary, Alberta. Unavailable
Shaban, Y., & Yacout, S. (2016, January). Cutting tool remaining useful life during turning of metal matrix composites [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (6 pages). External link
Shaban, Y., Yacout, S., Balazinski, M., Meshreki, M., & Attia, H. (2015, March). Diagnosis of machining outcomes based on machine learning with logical analysis of data [Paper]. International Conference on Industrial Engineering and Operations Management (IEOM 2015), Dubai, United Arab Emirates (8 pages). External link
Shaban, Y., Yacout, S., & Balazinski, M. (2015, January). Tool replacement based on pattern recognition with LAD [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, FL (6 pages). External link
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. External link
