State-of-the-art in surface integrity in machining of nickel-based super alloys
A Thakur, S Gangopadhyay - International Journal of Machine Tools and …, 2016 - Elsevier
Nickel-based super alloys are gaining more significance, now-a-days, with extensive
applications in aerospace, marine, nuclear reactor and chemical industries. Several …
applications in aerospace, marine, nuclear reactor and chemical industries. Several …
Application of acoustic emissions in machining processes: analysis and critical review
Monitoring and controlling of metal cutting processes is an essential task in any modern
precision machining setup. The implementation of proper monitoring process leads to …
precision machining setup. The implementation of proper monitoring process leads to …
Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations
EG Plaza, PJN López - Mechanical Systems and Signal Processing, 2018 - Elsevier
The wavelet packet transform method decomposes a time signal into several independent
time-frequency signals called packets. This enables the temporary location of transient …
time-frequency signals called packets. This enables the temporary location of transient …
A novel machine learning-based methodology for tool wear prediction using acoustic emission signals
JL Ferrando Chacón, T Fernández de Barrena… - Sensors, 2021 - mdpi.com
There is an increasing trend in the industry of knowing in real-time the condition of their
assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to …
assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to …
Efficiency of vibration signal feature extraction for surface finish monitoring in CNC machining
EG Plaza, PJN López, EMB González - Journal of Manufacturing Processes, 2019 - Elsevier
On-line monitoring technologies in CNC machining operations eliminate post-process
quality control, and are crucial for improving productivity and reliability, reducing production …
quality control, and are crucial for improving productivity and reliability, reducing production …
Analysis of hole quality in drilling GLARE fiber metal laminates
Glass laminate aluminium reinforced epoxy (GLARE) is an advanced aircraft material
because of its excellent fatigue crack resistance, high impact strength, high strength-to …
because of its excellent fatigue crack resistance, high impact strength, high strength-to …
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 …
reduce energy consumption, and prevent environmental pollution. It maximizes the balance …
Acoustic emission signal analysis during chip formation process in high speed machining of 7050-T7451 aluminum alloy and Inconel 718 superalloy
Research on acoustic emission (AE) signal during chip formation process in high speed
machining can help to reveal the workpiece-chip material separation mechanism. The aim of …
machining can help to reveal the workpiece-chip material separation mechanism. The aim of …
An innovative approach to monitor the chip formation effect on tool state using acoustic emission in turning
Chip formation in metal cutting is inevitable and has a remarkable effect on tool state and
therefore on the tool life. The work presented here introduces a new technique to …
therefore on the tool life. The work presented here introduces a new technique to …
Multi-sensor data fusion for real-time surface quality control in automated machining systems
E Garcia Plaza, PJ Nunez Lopez… - Sensors, 2018 - mdpi.com
Multi-sensor data fusion systems entail the optimization of a wide range of parameters
related to the selection of sensors, signal feature extraction methods, and predictive …
related to the selection of sensors, signal feature extraction methods, and predictive …