ABRAHAM
SEGADE ROBLEDA
PROFESOR/A TITULAR DE UNIVERSIDAD TC
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Universidad de Oviedo
Oviedo, EspañaPublicacións en colaboración con investigadores/as de Universidad de Oviedo (4)
2016
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A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data
International Journal of Advanced Manufacturing Technology, Vol. 86, Núm. 1-4, pp. 769-780
2015
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Modeling the milling tool wear by using an evolutionary SVM-based model from milling runs experimental data
AIP Conference Proceedings
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Study of a steel's energy absorption system for heavy quadricycles and nonlinear explicit dynamic analysis of its behavior under impact by FEM
Materials, Vol. 8, Núm. 10, pp. 6893-6908
2009
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Approximation to the dynamics of transported parts in a vibratory bowl feeder
Mechanism and Machine Theory, Vol. 44, Núm. 12, pp. 2217-2235