Finding Contents or People

The influence of volume fraction of martensite and ferrite grain size on ultimate tensile strength and maximum uniform true strain of dual phase steel
Comparison of microparticles and nanoparticles effects on the microstructure and mechanical properties of steel-based composite and nanocomposite fabricated via accumulative roll bonding process
Comparison of microparticles and nanoparticles effects on the microstructure and mechanical properties of steel-based composite and nanocomposite fabricated via accumulative roll bonding process
Enhanced mechanical properties in a high-manganese austenitic steel through formation of nanograins nano twinned austenite grains nano carbides and TRIP
Enhanced mechanical properties in a high-manganese austenitic steel through formation of nanograins nano twinned austenite grains nano carbides and TRIP
Investigating the effects of short time austenitizing and cooling rate on pearlitic microstructure and mechanical properties of a hot rolled plain eutectoid carbon steel
Investigating the effects of short time austenitizing and cooling rate on pearlitic microstructure and mechanical properties of a hot rolled plain eutectoid carbon steel
An experimental investigation on the saline soil: 'The effect of industrial wastes steel slag, spent tire powder and vinasse on electrical conductivity and pH-values'
An experimental investigation on the saline soil: 'The effect of industrial wastes steel slag, spent tire powder and vinasse on electrical conductivity and pH-values'
An investigation on full annealing temperature and annealing twins density in Fe-33Mn-3Si-2Al high manganese steel
influence of metallic fiber surface treatment and fiber shape on the mechanical properties and pulll out behavior of carbon steel fiber in epoxy matrix
Enhancing the Mechanical Properties of Transient-Liquid-Phase Bonded Inconel 617 to Stainless Steel 310 through Altering Process Parameters and Homogenisation
Performance prediction of a specific wear rate of epoxy nanocomposites with various composition content of Polytetrafluoroethylene(PTFE) graphite short carbon fibers (CF) and nano-TiO2 using adaptive neuro-fuzzy inference system (ANFIS)
Performance prediction of a specific wear rate of epoxy nanocomposites with various composition content of Polytetrafluoroethylene(PTFE) graphite short carbon fibers (CF) and nano-TiO2 using adaptive neuro-fuzzy inference system (ANFIS)
Useful links