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Mostrando ítems 441-449 de 449
Study of Astroloy powder compaction at high temperature under hydrostatic load using finite elements
(Elsevier, 2021)
The results of existing constitutive models describing the behaviour of metal powder during compaction processes are very different. This reveals the high sensitivity of the mechanical behaviour of porous materials to the ...
Study of powder densification under hydrostatic loads at high temperatures using finite element method
(Elsevier, 2020)
Many different constitutive models that describe the behaviour of metal powder during hot isostatic processes are found in literature. A quantitative comparison of these material laws shows a huge discrepancy among the ...
An analytical model of through-thickness photopolymerisation of composites: Ultraviolet light transmission and curing kinetics
(Elsevier, 2020)
In this paper, a kinetic model able to predict the evolution of the through-thickness degree of cure of ultraviolet (UV) cured composites has been developed and validated. The kinetic model, which is based on the autocatalytic ...
Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...
Links between circular economy and climate change mitigation in the built environment
(Elsevier, 2020)
The construction sector represents one of the most significant sources of waste generation in the European Union (EU), with nearly one billion tonnes of construction and demolition waste annually. This sector also contributes ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
A Methodology to Determine the Effect of a Novel Modulation in the Reliability of an Automotive DC-Link Capacitor
(IEEE, 2020)
Switched Reluctance Machines (SRM) are considered promising rare-earth free candidates for the next generation electrified vehicles. One of the main drawback of this technology is the need of a large DC-link capacitor to ...
Synchronized Switching Modulation to Reduce the DC-Link Current in SRM Drives
(IEEE, 2020)
Switched Reluctance Machines (SRM) are emerging as a possible alternative in terms of cost and supply stability to rare earth based electric vehicle traction systems. However, because of the huge amounts of energy stored ...
A method to extract lumped thermal networks of capacitors for reliability oriented design
(Elsevier, 2020)
In this work we propose a procedure based on finite element simulations to compute a lumped-parameter thermal model of capacitors. The extracted Foster or Cauer network coupled to the electrical model can be useful to ...