1,721,325 research outputs found
Some classification experiences with a dynamic classifier
This investigation, concerning the optimization of ultrafine grinding of solids, has focused on a dynamic classifier for recovering the fine fraction, automatically recycling the oversize and reducing power consumption.
Power consumption plays a major role in these energy intensive processes and depends on several parameters such as nature of the solid, degree of fineness of finished product and, above all, grain size of the feed.
The study indicates the optimal conditions for a dynamic classifier, i.e.: geometric characteristics of the apparatus and its capacity, inlet air flowrate, dimensions of the classification circuit.
It is also shown that a mean grain diameter (dm) of about 2.00 μm with top size (dmax) of 50 μm can be achieved with an imperfection value of below 0.40 and energy consumption of 215 kWht-1
General Approach to the Evaluation of Consistent Tangent Operators for Rate-Independent Elastoplasticity
Modelling damage, friction and dilatancy on structural interfaces using cohesive-zone models, Proceedings of the 19th UK
General Approach to the Evaluation of Consistent Tangent Operators for Rate-Independent Elastoplasticity
Analysis of interface debonding through a damage/visco-plastic model
Proceedings su CD-RO
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