Articles

type: Journal
Title DOI Date
The Effects of Nitrogen Addition on the Production of Ultrafine/Nano Grained AISI 201L Stainless Steel by Advanced Thermo-mechanical Process #
Application of the Taguchi approach to investigate the softening kinetics of AISI 304 stainless steel during hot deformation #
Prediction the Critical conditions for Initiation of Dynamic Recrystallization #
Application of anodizing and CAR processes for manufacturing Al/Al2O3 composite #
Production of nano ultrafine grained AISI 201L stainless steel through advanced thermomechanical treatment #
Microstructural investigation on strengthening mechanisms of AISI 304L austenitic stainless steel during cryogenic deformatiion. #
Production of nano/ultrafine grained AISI 201L stainless steel through advanced thermo-mechanical treatment #
The influence of reversion annealing behavior on the formation of nanograined structure in AISI 201L austenitic stainless steel through martensite treatment #
Correcting the stress-strain curve in hot compression test using finite element analysis and Taguchi method #
The effect of bainite in producing nano/ultrafine grained steel by the martensite treatment #
Effects of carbon content on the formation of nano/ultrafine grained low-carbon steel treated by martensite process #
Constitutive relationships for hot deformation of austenite #
An alternative method of processing MMCs by CAR process #
Microstructural Investigation on Strengthening Mechanisms of AISI304L Austentic Stainless Steel During Cryogenic Deformation #
Effect of reversion annealing on the formation of nano/ultrafine grained structure in 201 austenitic stainless steel #
Hot deformation behavior of a medium carbon microalloyed steel #
Producing the nano/ultrafine grained low carbon steel by martensite process using plaine #
Effect of annealing process on microstructure and mechanical properties of high manganese austenitic TWIP steel #
Producing the nano/ultrafine grained low carbon steel by martensite process using plane strain compression #
Predicting of Mechanical Properties of Fe-Mn-(Al Si) TRIP/TWIP Steels Using Neural Network Modeling #