Predictive maintenance
CNC Mill Tool Wear
Know when the milling process will end, based on tool usage and condition
machining cnc tool tool wear mill drill predictive maintenance

A CNC milling machine was used in this dataset to carve S an shape into a wax part.

Different experimental configurations were used, most notably variations in tools conditions (worn/unworn), feed rate and clamping pressure.

At the end, the operator notes if she was able to complete the operations and if the appearance of the part is satisfactory.

Therefore, we are able to make three predictions

  • is the pressure enough to finish machining?
  • given the state of the final product, is the tool worn out and should we change it?
  • given the state of the tool and the operating conditions, will the finish product pass visual inspection?

Here we focused on predicting if the experiment will run till its end.

So 97% percent of the time, we are able to tell we will be able to finish machining.

Results from deployment:
97%
0.9kB
Accuracy
RAM used