Online Prediction of Tool Wear in the Milling of the AISI P20 Steel Through Electric Power of the Main Motor

摘要: Molds and dies have specific geometries that are linked to the profile of injected products. The great challenge for modern industry is manufacture these products with high quality low time. Ball nose end cutters provide flexible manufacturing due their geometry allows a single point contact on free-form surfaces. However, exact definition tool’s wear during milling molds complex. This work shows monitoring tool based information obtained from electric power consumed by main motor. Experiments were carried out pieces AISI P20 steel dimensions 20 × 10 mm. tools used in test solid carbide ball mills diameter 6 Analysis variance was applied define most influential input parameter process, considering torque as response. results showed online can be good technique process. Moreover, system easier assemble than traditional devices, such piezoelectric dynamometers or load cells, because it provided an assembly without interference machine energy analyzer capable detecting variation power. decreased when increased new worn tool.