The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil st...

Modeling the compressive behavior of carbon fiber sheet molding compounds (CF-SMC) during processing can be a difficult task. This is due to pronounced porosity SMC materials, which cannot adequately reproduced by currently available compressibility models (also called pvT models). Consequently, macroscopic non-isothermal compression model was developed in this study, easy evaluate and suitable...

A high-strength low-carbon construction structural steel was investigated in the laboratory. The various austenite grain sizes were obtained by austenitizing at different temperatures. effect of size on bainite transformation studied dilatometer. results show that microstructure steels mainly includes granular bainite, lath-like and martensite-austenite (M-A). changes from to with increase temp...

Abstract Specific heat capacity ( C p ), density ρ and thermal conductivity λ ) of phenolic-bonded 3D-printed sand (3DPS) molds have been determined in the temperature range 20–1400 °C using differential scanning calorimeter (DSC), dilatometer, hot wire method. The results used to simulate gradient a mold during casting aluminum commercial simulation software. simulated compared with laboratory...

Abstract The push-rod dilatometer is the most widely used and popular commercial apparatus for measuring thermal expansion coefficient of metals, it should be metrological verified before testing. Certified reference materials are applicable effective means verifying such equipment. Here, a material [termed Pyros (Ni-based) alloy] was developed coefficient. alloy exhibited high coefficient: ran...