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The development of depth sensing indentation equipment has allowed easy and reliable determination of two of the most popular measured mechanical properties of materials: the hardness and the Young's modulus.
In the last decade, the development of depth sensing indentation equipment has permitted two of the most conventional mechanical properties of materials to be easily determined: hardness and Young's modulus.
The development of depth gradients of texture, morphology and stresses in thin nanocrystalline films was experimentally demonstrated for a nanocrystalline CrN film by means of position-resolved synchrotron X-ray nanodiffraction and explained by atomistic processes at the growing film surface and the effect of interfaces, both controlled by the deposition conditions.
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It is observed that the maximum flow velocity at the boundary layer for the following-current case is larger than that for the opposing-current case, which further results in faster time development of scour depth and greater equilibrium scour depth for the following-current case.
Recent development of the Depth Compensation Algorithm (DCA) solves the depth localization problem, but the reconstructed images commonly exhibit over-smoothed boundaries, leading to fuzzy images with low spatial resolution.
Herein a linearization is used to represent long-term development of pit depth.
This paper describes the development of a depth control system for remotely operated underwater vehicles.
Only with the development of modern depth measurement methods - including echo sounding and mapping of gravitational anomalies - has the face of the depths been revealed.
Several recent studies have focused on the development of variable depth neighborhoods that generate sequences of interrelated elementary moves to create more complex compound moves.
In experiment 2, a cross-sectional study with 5 7-month-olds assessed revised methods designed to study development of pictorial depth sensitivity in individual infants.
In the present study, an attempt has been made to implement GEP for the development of scour depth prediction model at bridge piers in cohesive sediments using laboratory data available in literature.
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