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Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders
Measurement: Journal of the International Measurement Confederation, 2022Tielin Shi, Jianping Xuan
exaly
Wear energy density for wear prediction of displaceable spline couplings
Tribologie und SchmierungstechnikThis study presents a comprehensive predictive methodology combining the Archard wear model, Kragelski’s molecular-mechanical fatigue theory, and Fleischer’s energetic wear framework to accurately forecast linear wear depth in displaceable spline couplings.
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Prediction of the impact wear of a valve
2016The valves used in the oil&gas industry often experience erosion due to the impingements of solids dragged by the extracted fluid. The considerable economic damages related to this phenomenon enhance the interest in techniques for predicting the location of the erosion hotsposts and the loss of material from the valve under aggressive flow conditions ...
MESSA, GIANANDREA VITTORIO +1 more
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2003
Both tyre wear and road polishing are complex phenomenon, which are obviously strongly related; the energy that polishes the road is the energy that wears the tyre. The both depend non-linearly on numerous parameters, like materials used, vehicle and road usage, environmental conditions (i.e. temperature) and many others.
openaire +1 more source
Both tyre wear and road polishing are complex phenomenon, which are obviously strongly related; the energy that polishes the road is the energy that wears the tyre. The both depend non-linearly on numerous parameters, like materials used, vehicle and road usage, environmental conditions (i.e. temperature) and many others.
openaire +1 more source
Gaussian process regression for tool wear prediction
Mechanical Systems and Signal Processing, 2018Dongdong Kong, Yongjie Chen, Ning Li
exaly

