Machine learning in cnc machining: best practices

HIGHLIGHTS

• who: Tim von Hahn and Chris K. Mechefske from the Department of Mechanical and Materials Engineering, Queen`s University, Kingston, ON K L , Canada have published the research work: Machine Learning in CNC Machining: Best Practices, in the Journal: Machines 2022, 10, 1233. of 16/Dec/2022
• what: The aim of this work is to practically illustrate several best practices and challenges discovered while building an ML system to detect tool wear in metal CNC machining. The roughing tool, and its insert, was changed most often due to wear and thus is the focus of . . .
  

   

  

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