A system to accurately apply fine powders
نویسندگان
چکیده
منابع مشابه
Jamming threshold of dry fine powders.
We report a novel experimental study on the jamming transition of dry fine powders with controlled attractive energy and particle size. Like in attractive colloids dry fine particles experience diffusion-limited clustering in the fluidlike regime. At the jamming threshold fractal clusters crowd in a metastable state at volume fractions depending on attractive energy and close to the volume frac...
متن کاملAerated bunker discharge of fine dilating powders
The discharge rate of coarse powders (mean particle size >500 pm) from bunkers without aeration can be described by both empirical relations and theoretical models. In the case of small particles the discharge rate is largely overestimated. As the powder dilates during flow a negative pressure gradient develops near the hopper outlet, inducing an air flow into the hopper. This extra drag force ...
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Dustiness may be defined as the propensity of a powder to form airborne dust by a prescribed mechanical stimulus; dustiness testing is typically intended to replicate mechanisms of dust generation encountered in workplaces. A novel dustiness testing device, developed for pharmaceutical application, was evaluated in the dustiness investigation of 27 fine and nanoscale powders. The device efficie...
متن کاملSimulation of cohesive fine powders under a plane shear.
Three-dimensional molecular-dynamics simulations of cohesive dissipative powders under a plane shear are performed. We find the various phases depending on the dimensionless shear rate and the dissipation rate as well as the density. We also find that the shape of clusters depends on the initial condition of velocities of particles when the dissipation is large. Our simple stochastic model repr...
متن کاملApply FNN Model to Construct Ontology-based Q&A System
The Q&A (Question & Answer) knowledge base of an organization is important for knowledge management. It can provide experience and knowledge for a questioner. This paper applies a Fuzzy-Neural Network (FNN) model to construct Q&A knowledge base automatically. The FNN computes the important degree with sentences and infers the strength of each sentence for question properties. In addition, the b...
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ژورنال
عنوان ژورنال: Proceedings of the New Zealand Weed and Pest Control Conference
سال: 1991
ISSN: 0370-2804,0370-2804
DOI: 10.30843/nzpp.1991.44.10853