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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-00128-6
Abstract: The paper presents an innovative method of solving the problem of vibration suppression during milling of large-size details. It consists in searching for the best conditions for clamping the workpiece based on a rapid modal…
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Keywords:
best conditions;
large size;
face milling;
vibration ... See more keywords
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Published in 2020 at "Australian journal of mechanical engineering"
DOI: 10.1080/14484846.2020.1740022
Abstract: The paper explores the potential study of artificial neural network (ANN) for prediction of response surface roughness (Ra) in face milling operation with respect to cryogenic approach. The model o...
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Keywords:
neural network;
application back;
face milling;
back propagation ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11052126
Abstract: Surface roughness is a significant factor in determining the product quality and highly impacts the production price. The ability to predict the surface roughness before production would save the time and resources of the process.…
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Keywords:
surface roughness;
surface;
particle swarm;
quantum behaved ... See more keywords
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Published in 2020 at "Materials"
DOI: 10.3390/ma13204542
Abstract: This article analyzes the temperature data obtained for an aluminum alloy face milled using four different cutting strategies. The workpiece temperature was measured at six points with K-type thermocouples. The heat transfer taking place in…
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Keywords:
surface flatness;
cutting strategy;
temperature;
face milling ... See more keywords