Experimental wear parameters identification in hydrodynamic bearings via model based methodology

Wear ◽  
2017 ◽  
Vol 372-373 ◽  
pp. 116-129 ◽  
Author(s):  
Ricardo U. Mendes ◽  
Tiago H. Machado ◽  
Katia L. Cavalca
IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 41891-41901
Author(s):  
Mahmoud A. Soliman ◽  
Ahmed Al-Durra ◽  
Hany M. Hasanien

2011 ◽  
Vol 117-119 ◽  
pp. 582-587 ◽  
Author(s):  
Jaroslaw Nowak ◽  
Dmytro S. Svyetlichnyy ◽  
Łukasz Łach

In the paper a flow stress model based on the dislocation theory in consideration of the recrystallization is shortly presented. The model contains two parts: a classic model of dislocation evolution and recrystallization model. The latter considers different kinds of recrystallization as the same process rooted in nucleation and grain growth. The results of the model parameters identification and the simulation are presented in this paper. Then disadvantages of the model are considered and new proposal for improvement the model are presented. Results of preliminary simulation are presented as well


2020 ◽  
Vol 14 (15) ◽  
pp. 2876-2884
Author(s):  
Loredana Cristaldi ◽  
Marco Faifer ◽  
Christian Laurano ◽  
Roberto Ottoboni ◽  
Sergio Toscani ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery

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