[HTML][HTML] Surface integrity in metal machining-Part I: Fundamentals of surface characteristics and formation mechanisms

Z Liao, A la Monaca, J Murray, A Speidel… - International Journal of …, 2021 - Elsevier
The surface integrity of machined metal components is critical to their in-service functionality,
longevity and overall performance. Surface defects induced by machining operations vary …

Machining of biocompatible materials—Recent advances

D Axinte, Y Guo, Z Liao, AJ Shih, R M'Saoubi, N Sugita - CIRP Annals, 2019 - Elsevier
Machining of biocompatible materials is facing the fundamental challenges due to the
specific material properties as well as the application requirements. Firstly, this paper …

Tool condition monitoring and remaining useful life prognostic based on a wireless sensor in dry milling operations

C Zhang, X Yao, J Zhang, H ** - Sensors, 2016 - mdpi.com
Tool breakage causes losses of surface polishing and dimensional accuracy for machined
part, or possible damage to a workpiece or machine. Tool Condition Monitoring (TCM) is …

Research on the milling tool wear and life prediction by establishing an integrated predictive model

Y Yang, Y Guo, Z Huang, N Chen, L Li, Y Jiang, N He - Measurement, 2019 - Elsevier
As the tool wear increases, the surface quality of the workpiece will decrease, and even the
workpiece will be scrapped. Therefore, in order to obtain a better machined workpiece …

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Z Shang, Z Liao, JA Sarasua, J Billingham… - International Journal of …, 2019 - Elsevier
Laser assisted machining (LAM) is one of the most efficient ways to improve the
machinability of difficult-to-cut materials (eg Nickel-based superalloys). In the conventional …

Tool wear condition monitoring based on continuous wavelet transform and blind source separation

T Benkedjouh, N Zerhouni, S Rechak - The International Journal of …, 2018 - Springer
Prognostics and health management (PHM) for condition monitoring systems have been
proposed for predicting faults and estimating the remaining useful life (RUL) of components …

A meta-invariant feature space method for accurate tool wear prediction under cross conditions

C Liu, Y Li, J Li, J Hua - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Cross conditions prediction is a prevalent problem in manufacturing area, where tool wear
prediction is a typical one. Existing data-driven methods for tool wear prediction mainly focus …

Digital twin-driven senseless cutting force monitoring and vibration stability control of a rotary ultrasonic machining system

T Lan, P Feng, J Zhang, X Zhang, J Wang - Mechanical Systems and Signal …, 2025 - Elsevier
Rotary ultrasonic machining (RUM) emerges as a superior technique for processing difficult-
to-cut materials due to its capacity to improve machining efficiency and surface quality. The …

Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine

J Guo, A Li, R Zhang - The International Journal of Advanced …, 2020 - Springer
Tool wear will lead to the reduction of surface quality and machining accuracy. Therefore,
tool condition monitoring is vital to the improvement of industrial production efficiency and …

[HTML][HTML] Methodology for measuring the cutting inserts wear

R Daicu, G Oancea - Symmetry, 2022 - mdpi.com
In the industrial manufacturing, the wear of the cutting tool represents the main factor that
causes machine downtime and it has a negative influence over the machined surface …