Prediction of Tool Life when End Milling of Ti6Al4V Alloy Using Hybrid Learning System Academic Article uri icon

publication date

  • 2014

number of pages

  • 16

start page

  • 5095

end page

  • 5111

volume

  • 39

issue

  • 6