Tool wear monitoring based on physics-informed Gaussian process regression

M Sun, X Wang, K Guo, X Huang, J Sun, D Li… - Journal of Manufacturing …, 2024 - Elsevier
Abstract Tool Wear Monitoring (TWM) plays a vital role in safeguarding product quality and
enhancing machining efficiency. TWM technology mainly includes physics-based models …

A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring

X Fang, Q Song, J Qin, Z Li, H Ma, Z Liu - Robotics and Computer …, 2025 - Elsevier
Tool wear monitoring (TWM) is essential for enhancing the machining accuracy of intelligent
manufacturing systems and ensuring the consistency and reliability of products. The …

Milling surface roughness monitoring using real-time tool wear data

R Wang, Q Song, Y Peng, Z Liu, H Ma, Z Liu… - International Journal of …, 2025 - Elsevier
The random disturbances in feature distribution, resulting from the weak rigidity and difficult-
to-machine nature of workpieces, significantly impede the intelligent monitoring of …

An on-machine tool wear area identification method based on image augmentation and advanced segmentation

H Chen, C Cheng, J Hong, M Huang, Y Kong… - Journal of Manufacturing …, 2024 - Elsevier
In industrial manufacturing, tool wear monitoring (TWM) is essential for ensuring high-quality
machining, operational efficiency, cost-effectiveness, and safety. However, due to the …

Wear analysis of teeth for roughing and finishing in the high-efficiency machining of hard alloys using carbide circular saw blades

J Kang, H Zhang, J Zhang, T Bai, Z Zhang, J Guo… - Engineering Failure …, 2025 - Elsevier
Carbide circular saw blades are widely utilized for cutting metal ingots, but face limitations
due to tooth wear and machining quality issues. This study investigates cutting performance …

Understanding the wear mechanisms of diamond circular saw blades during machining hard rocks

J Kang, H Zhang, J Zhang - International Journal of Refractory Metals and …, 2024 - Elsevier
Hard rock, prized for its exceptional resistance to corrosion and pollution, is extensively
utilized in construction and transportation. However, its high hardness poses a significant …

Early condition monitoring of circular saw blades with large diameter-to-thickness ratios under high-speed sawing of hard metals

J Kang, J Zhang, H Zhang, Z Zhang, T Bai, Y Gong… - Measurement, 2024 - Elsevier
Circular sawblades with large diameter-thickness ratios feature weak stiffness which results
in self-excited and forced vibrations in high-speed sawing. The scenario brings uncertainty …

Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise …

J Kang, T Wang, Y Li, Y Wei, Y Zhang, Y Tian - Mathematics, 2025 - mdpi.com
This paper addresses the issue of noise interference and variable working conditions in the
production and machining environment, which lead to weak tool life features and reduced …