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Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process
(Inst Engineering Technology-iet, 2019-01-01)
New alternatives for monitoring the ceramic grinding process have been studied. Monitoring vibration signals is one of the most successful methods because some characteristics that describe the behaviour and influence of ...
Periodic study on the structural and electronic properties of bulk, oxidized and reduced SnO2(110) surfaces and the interaction with O-2
(Elsevier B.V., 2002-06-10)
The structural and electronic properties of bulk and both oxidized and reduced SnO2(110) surfaces as well as the adsorption process of O-2 on the reduced surface have been investigated by periodic DFT calculations at B3LYP ...
Periodic study on the structural and electronic properties of bulk, oxidized and reduced SnO2(110) surfaces and the interaction with O-2
(Elsevier B.V., 2002-06-10)
The structural and electronic properties of bulk and both oxidized and reduced SnO2(110) surfaces as well as the adsorption process of O-2 on the reduced surface have been investigated by periodic DFT calculations at B3LYP ...
Time fuctuations of the random average process with parabolic initial conditions
(2003)
The random average process is a randomly evolving d-dimensional surface whose heights
are updated by random convex combinations of neighboring heights. The !uctuations of this
process in case of linear initial conditions ...
Liquid/surface interaction during pool boiling of DI-water on nanocoated heating surfaces
(2018-11-01)
This study focuses on the effect of the nanostructured heating surface on the heat transfer coefficient (HTC) considering the nanofluid concentration used for coating surfaces and the heating surface morphology. Copper ...
Machining performance of laser surface micro-textured drilling tools
(Inderscience Enterprises LtdGenevaSuíça, 2011)
Metallographic Investigation of Nd: YAG Laser Processed Ductile Iron Surfaces
(INTEMA - UNMdP-CONICET, 2014)
Neural network approach for surface roughness prediction in surface grinding
(2007-12-01)
Several systems are currently tested in order to obtain a feasible and safe method for automation and control of grinding process. This work aims to predict the surface roughness of the parts of SAE 1020 steel ground in a ...
Neural network approach for surface roughness prediction in surface grinding
(2007-12-01)
Several systems are currently tested in order to obtain a feasible and safe method for automation and control of grinding process. This work aims to predict the surface roughness of the parts of SAE 1020 steel ground in a ...
Time fluctuations of the random average process with parabolic initial conditions
(Elsevier Science BvAmsterdamHolanda, 2003)