Tool wear characteristics in machining of nickel-based superalloys

D Zhu, X Zhang, H Ding - International Journal of Machine Tools and …, 2013‏ - Elsevier
Nickel-based superalloy is widely employed in aircraft engines and the hot end components
of various types of gas turbines with its high strength, strong corrosion resistance and …

[HTML][HTML] A review of the application of acoustic emission technique in engineering

S Gholizadeh, Z Leman… - Structural Engineering …, 2015‏ - koreascience.kr
The use of acoustic emission (AE) technique for detecting and monitoring damages and the
progress on damages in different structures is widely used and has earned a reputation as …

Review of tool condition monitoring methods in milling processes

Y Zhou, W Xue - The International Journal of Advanced Manufacturing …, 2018‏ - Springer
Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. However, while considerable research has been conducted in industrial …

Time varying and condition adaptive hidden Markov model for tool wear state estimation and remaining useful life prediction in micro-milling

W Li, T Liu - Mechanical systems and signal processing, 2019‏ - Elsevier
The tool wear monitoring (TWM) system which can estimate the tool wear state and predict
remaining useful life (RUL) of the tool plays an important role in micro-milling because of the …

Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process

Y Zhou, B Sun, W Sun, Z Lei - Journal of Intelligent Manufacturing, 2022‏ - Springer
Tool condition monitoring (TCM) in numerical control machines plays an essential role in
ensuring high manufacturing quality. The TCM process is conducted according to the data …

Tool wear condition monitoring in milling process based on current sensors

Y Zhou, W Sun - IEEE access, 2020‏ - ieeexplore.ieee.org
Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. This is typically accomplished using indirect TCM methods that …

Artificial intelligence based tool condition monitoring for digital twins and industry 4.0 applications

P Muthuswamy, SK - International Journal on Interactive Design and …, 2023‏ - Springer
The high demand for machining process automation has placed real-time tool condition
monitoring as one of the top priorities of academic and industrial scholars in the past …

Tooth-wise monitoring of the asymmetrical tool wear in micro-milling based on the chip thickness reconstruction and cutting force signal

T Liu, J Song, K Zhang, Q Liu, F Chen - Mechanical Systems and Signal …, 2024‏ - Elsevier
Tooth-wise monitoring of the tool wear condition is of great importance for improving the
machining quality and efficiency of micro-milling. However, the uncut chip thickness, cutting …

Tool wear evaluation under minimum quantity lubrication by clustering energy of acoustic emission burst signals

C Wang, Z Bao, P Zhang, W Ming, M Chen - Measurement, 2019‏ - Elsevier
Tool wear evaluation by Acoustic Emission (AE) is a promising non-destructive technique
without stop** the machine, which can save its off-line detection time and prevent tool re …

Micro-milling tool wear monitoring under variable cutting parameters and runout using fast cutting force coefficient identification method

T Liu, K Zhu, G Wang - The International Journal of Advanced …, 2020‏ - Springer
Extracting discriminative tool wear features is of great importance for tool wear monitoring in
micro-milling. However, due to the dependency on tool runout and cutting parameters, the …