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Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties
artificial neural networks modelling quenched structural steels
2010/8/12
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised
structural steels m...
Springback prediction in V-die bending: modelling and experimentation
Springback prediction V-die bending modelling experimentation
2010/8/12
Spring-back is a common phenomenon that occurs in sheet metal bending after unloading due to elastic recovery. It could be defined in terms of spring-back ratio K (the ratio between the produced and d...
Numerical modelling of the thermal and fluid flow phenomena of the fluidity test
Solidification Molten metal flow Fluidity test Mathematical modelling
2011/4/2
In the paper, two mathematical models of the solidification of a cylindrical shaped casting, which take into account the process of filling the mould cavity with molten metal during the vertical fluid...