{'fraction_non_alphanumeric': 0.012747875354107648, 'fraction_numerical': 0.0, 'mean_word_length': 4.9411764705882355, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Vibrations , Shocks and Noise Tool wear criterion based on cutting tool vibration

This work presents a new criterion for the tool wear evaluation from cutting tool vibration. The vibratory signatures produced during a dry turning process were acquired using a three-axis accelerometer mounted on cutting tool. Then, the mean power analysis was estimated to extract an indicator parameter able to describe the wear of the cutting tool along its lifespan. Finally, a criterion based on the sliding window was proposed to detect the beginning of the last stage of the cutting tool wear in real time. This detector was tested under different machining configurations and the results have shown his efficiency.