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 …
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
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 …
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
Tool wear, chip formation and surface roughness of workpiece under different cutting
conditions have been investigated in machining using acoustic emission (AE) and vibration …
conditions have been investigated in machining using acoustic emission (AE) and vibration …
Enhanced particle filter for tool wear prediction
Timely assessment and prediction of tool wear is essential to ensuring part quality,
minimizing material waste, and contributing to sustainable manufacturing. This paper …
minimizing material waste, and contributing to sustainable manufacturing. This paper …
Tool wear monitoring using acoustic emissions by dominant-feature identification
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 …
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 …
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 …
approach using histogram features and K-star algorithm technique. Vibration signals of the …
Tool wear monitoring and prediction based on sound signal
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 …
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 …
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
In the present era of sustainable smart manufacturing within the industry 4.0 framework,
industries thrive to achieve sustainable development. Machining processes play a …
industries thrive to achieve sustainable development. Machining processes play a …