Wear Detection of Drill Bit by Image-based Technique
Author:
Publisher
IOP Publishing
Subject
General Medicine
Link
http://stacks.iop.org/1757-899X/328/i=1/a=012011/pdf
Reference13 articles.
1. Prediction of Tool Fracture in Drilling
2. State-of-the-art methods and results in tool condition monitoring: a review
3. Effect of grinding wheel spindle vibration on surface roughness and subsurface damage in brittle material grinding
4. Using kernel data in machine tools for the indirect evaluation of surface roughness in vertical milling operations
5. Online tool wear prediction system in the turning process using an adaptive neuro-fuzzy inference system
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2. Tool wear assessment and life prediction model based on image processing and deep learning;The International Journal of Advanced Manufacturing Technology;2023-03-10
3. Determination of twist drill bits wear: the effect of the composition and structure of the steels;Polish Journal of Chemical Technology;2022-09-01
4. Intelligent prediction of wear location and mechanism using image identification based on improved Faster R-CNN model;Tribology International;2022-05
5. Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools;Artificial Neural Networks in Pattern Recognition;2020
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