/toolwearID

Development of an in-situ digital inspection of tool wear for turning inserts. The model and training is based on EfficientNet and TensorFlow Lite. Input images are obtained from a digital microscope.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

in progress

In-situ Digital Inspection of Tool Wear

An open source model to detect and identify in-situ or in-process wear and tool damage on turning inserts

Motivation

Aim to integrate in-situ tool wear identification to make informaed decision on reconditioning and recycling of tool inserts (Hazzan KE, Pacella M, A novel laser machining strategy for cutting tool repair. Manuf Lett 2022; 32C:87-91. https://doi.org/10.1016/j.mfglet.2022.04.005)

Hardware set up

Software

Repository Use

How to edit for own dataset

Related works