A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends

M Kuntoğlu, A Aslan, DY Pimenov, ÜA Usca, E Salur… - Sensors, 2020 - mdpi.com
The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …

Review of the application of acoustic emission technology in green manufacturing

J Liu, C Jiang, X Yang, S Sun - International Journal of Precision …, 2024 - Springer
Green manufacturing is an advanced technology that aims to improve resource utilization,
reduce energy consumption, and prevent environmental pollution. It maximizes the balance …

Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning

M Kuntoğlu, H Sağlam - Measurement, 2021 - Elsevier
Monitoring of the cutting area with different type of sensors requires confirmation for
composing sensor fusion to obtain longer tool life and high-quality product. The complex …

[HTML][HTML] Identification of tool wear using acoustic emission signal and machine learning methods

P Twardowski, M Tabaszewski, M Wiciak–Pikuła… - Precision …, 2021 - Elsevier
The work concerns the monitoring of the edge condition based on acoustic emission (AE)
signals. The tool edge condition was determined by the wear width on the flank face. The …

Natural-gas pipeline leak location using variational mode decomposition analysis and cross-time–frequency spectrum

Q Xiao, J Li, J Sun, H Feng, S Jin - Measurement, 2018 - Elsevier
A novel method based on variational mode decomposition (VMD) and cross-time–frequency
spectrum (CTFS) is proposed for leak location in natural-gas pipelines. Leakage signals are …

Surface morphology analysis of duplex stainless steel (DSS) in clean production using the power spectral density

GM Krolczyk, RW Maruda, P Nieslony, M Wieczorowski - Measurement, 2016 - Elsevier
The paper analyses the influence of clean manufacturing (green manufacturing) methods on
the surface morphology of duplex stainless steel. The surface quality was compared using …

Tool wear state prediction based on feature-based transfer learning

J Li, J Lu, C Chen, J Ma, X Liao - The International Journal of Advanced …, 2021 - Springer
Accurate identification of the tool wear state during the machining process is of great
significance to improve product quality and benefit. The wear states of the same tool type …

ANOVA and fuzzy rule based evaluation and estimation of flank wear, temperature and acoustic emission in turning

M Kuntoğlu, H Sağlam - CIRP Journal of Manufacturing Science and …, 2021 - Elsevier
Prediction of tool wear plays a key role in machining world due to its considerable impact on
total costs in terms of fabricated part quality and disposal of cutting insert before reaching the …

Application of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining

YS Ahmed, AFM Arif, SC Veldhuis - Measurement, 2020 - Elsevier
Built-up edge (BUE) has a significant influence on the process outputs of machining.
Unstable BUE can damage the cutting tool edge and adversely affect the machined …

An investigation of monitoring the damage mechanism in ultra-precision grinding of monocrystalline silicon based on AE signals processing

S Wang, Q Zhao, T Wu - Journal of Manufacturing Processes, 2022 - Elsevier
Ultra-precision grinding has become one of the most important processes in the production
of high-end optics made of hard and brittle materials. Due to the effects of ultra-precision …