54 resultados para mechanisms of influence
Resumo:
The relevance of the effective stress intensity range to crack growth is considered for constant and for variable amplitude loading. The accelerated and retarded growth associated with simple programmed loadings is reported for two steels and an aluminium alloy. The load interaction effects are due to several competing mechanisms, and not due to the single, popular mechanism of crack closure.
Resumo:
This paper describes the effects of abrasive hardness and size on the 2-body abrasive wear mechanisms of a boronized low alloy steel. It is found that the wear resistance of the boronized steel is much greater against alumina abrasive than against silicon carbide. This difference in wear resistance is much enhanced when the particle size or the applied load is increased. Scanning electron microscopy of the worn specimens and of the used abrasive papers revealed that the enhanced difference in wear resistance between coarse alumina and silicon carbide papers is due to a change in the wear mechanism produced by silicon carbide papers with increasing abrasive particle size.
Resumo:
The mechanisms of material removal were studied during the erosion of two unfilled elastomers (natural rubber and epoxidised natural rubber). The effects of impact velocity and of lubrication by silicone oil were investigated. The development of surface features due to single impacts and during the early stages of erosion was followed by scanning electron microscopy. The basic material removal mechanism at impact angles of both 30° and 90° involves the formation and growth of fine fatigue cracks under the tensile surface stresses caused by impact. No damage was observed after single impacts; it was found that many successive impacts are necessary for material removal. It was found that the erosion rate has a very strong dependance on impact velocity above about 50 ms-1.
Resumo:
In order to generate skilled and efficient actions, the motor system must find solutions to several problems inherent in sensorimotor control, including nonlinearity, nonstationarity, delays, redundancy, uncertainty, and noise. We review these problems and five computational mechanisms that the brain may use to limit their deleterious effects: optimal feedback control, impedance control, predictive control, Bayesian decision theory, and sensorimotor learning. Together, these computational mechanisms allow skilled and fluent sensorimotor behavior.