artificial neural network

Thermal conductivity enhancement of nanofluid by adding multiwalled carbon nanotubes: Characterization and numerical modeling patterns

Nanofluid is divided in two major section, mono nanofluid (MN) and hybrid nanofluid (HN). MN is created when a solid nanoparticle disperses in a fluid, whereas HN has more than one solid nanomaterial. In this research, iron (III) oxide (Fe3O4) is MN, and Fe3O4 plus multiwalled carbon nanotube (MWCNT) is HN, whereas both are mixed and dispersed into the water basefluid. Thermal conductivity (TC) of Fe3O4/water and MWCNT/Fe3O4/water was measured after preparation and numerical model performed on the resulted data.

Verification of algorithm for point extraction from hyperbolic reflections in GPR data

The main goal of this paper is to determine the characteristics of an algorithm for point extraction from hyperbolic reflections in Ground-Penetrating Radar (GPR) data with different acquisition settings. Analysis is performed on a series of experimental radargrams that were collected in real conditions, on the same location. Two district heating pipes DN250 in atrench, covered by compacted sand, were scanned and the acquisition was done by using a 900MHz antenna. The pipe depth and the axial distance were measured when the trench was open.

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