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] Chatter detection in milling processes—a review on signal processing and condition classification

JH Navarro-Devia, Y Chen, DV Dao, H Li - The International Journal of …, 2023 - Springer
Among the diverse challenges in machining processes, chatter has a significant detrimental
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …

Monitoring the tool wear, surface roughness and chip formation occurrences using multiple sensors in turning

MSH Bhuiyan, IA Choudhury, M Dahari - Journal of Manufacturing Systems, 2014 - Elsevier
Tool wear, chip formation and surface roughness of workpiece under different cutting
conditions have been investigated in machining using acoustic emission (AE) and vibration …

Enhanced particle filter for tool wear prediction

J Wang, P Wang, RX Gao - Journal of Manufacturing Systems, 2015 - Elsevier
Timely assessment and prediction of tool wear is essential to ensuring part quality,
minimizing material waste, and contributing to sustainable manufacturing. This paper …

Tool wear monitoring using acoustic emissions by dominant-feature identification

JH Zhou, CK Pang, ZW Zhong… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Identification and online prediction of lifetime of cutting tools using cheap sensors is crucial
to reduce production costs and downtime in industrial machines. In this paper, we use the …

[PDF][PDF] Tool life prediction in face milling machiningof 7075 Al by using artificial neural networks (ANN) and Taguchi design of experiment (DOE)

AM Khorasani, MRS Yazdi… - International Journal of …, 2011 - researchgate.net
Tool life is an important indicator of the milling operation in manufacturing process. Studies
and analyses of milling process are usually based on three main parameters composed of …

[HTML][HTML] Condition monitoring of face milling tool using K-star algorithm and histogram features of vibration signal

CK Madhusudana, H Kumar, S Narendranath - Engineering science and …, 2016 - Elsevier
This paper deals with the fault diagnosis of the face milling tool based on machine learning
approach using histogram features and K-star algorithm technique. Vibration signals of the …

Tool wear monitoring and prediction based on sound signal

MK Liu, YH Tseng, MQ Tran - The International Journal of Advanced …, 2019 - Springer
Milling plays a core role in the manufacturing industry. If a milling tool suffers severe wear or
breakage during the manufacturing process, it requires immediate attention to prevent …

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 stopping the machine, which can save its off-line detection time and prevent tool re …

[HTML][HTML] Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review

V Warke, S Kumar, A Bongale, P Kamat… - … Applications of Artificial …, 2024 - Elsevier
In the present era of sustainable smart manufacturing within the industry 4.0 framework,
industries thrive to achieve sustainable development. Machining processes play a …