Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohsen Nazerfakhari"'
Publikováno v:
Ceramics International. 41:10697-10701
In the present study, split tensile strength of slag based geopolymer composite reinforced with steel fibers has been designed by Taguchi method. In this ceramic matrix composite, furnace metallurgical slag of rockwool acts as an aluminosilicate sour
Publikováno v:
Measurement. 75:5-11
In corrosion monitoring, the prediction of material constitutive and environment relationship can improve the optimization design process of pipeline. Recently, the artificial neural network (ANN) models are considered as a powerful tool to describe
Autor:
Mohamad-Javad Khalaj, Mohsen Nazerfakhari, Lidija Gomidželović, Hesam Pouraliakbar, Gholamreza Khalaj
Publikováno v:
Ceramics International. 41:9350-9360
Specimens of DIN 100MnCrW4 steel (type O1 tool steel) have been cut and prepared for performing a duplex surface treatment involving nitriding and low temperature vanadium thermo-reactive deposition and diffusion (TRD) technique. The TRD process was
Publikováno v:
Journal of Iron and Steel Research International. 22:446-450
A neural network with feed-forward topology and back propagation algorithm was used to predict the effects of chemical composition and tensile test parameters on hardness of heat affected zone (HAZ) in X70 pipeline steels. The mass percent of chemica