The hot deformation behaviour of austenite in steels is a complicated process which depends on chemical composition, microstructure, temperature and strain rate. While many models have been developed to represent the flow stress as a function of these variables, it is not yet possible to predict the behaviour for a new alloy. Linear regression techniques are not capable of representing the data...

Precipitation-hardening (PH) stainless steels (SS) are widely used in various aerospace applications. These exhibit good mechanical and corrosion resistance. The electrochemical behavior of 15-5PH, 17-4PH, Custom450 AM 350 passivated with citric nitric acid baths for 60 90 min at 25 49 °C were evaluated 5 wt.% sodium chloride (NaCl) 1 sulfuric (H2SO4) solutions. was studied potentiodynamic pola...

Due to their high strength, formability and affordable cost, quenched partitioned (Q&P) steels have shown the potential reduce mass of vehicles, thereby decreasing fuel consumption during service. Furthermore, because a lower steel is used in each vehicle, energy associated with steelmaking process also reduced. Q&P utilize deformation-induced martensitic transformation (DIMT) metastable retain...

Cyclic deformation behaviors in five modified duplex and 350°C. The influence of temperature and ni phenomenon, in the stress response curve was focuse dynamic strain ageing by increasing the first hardeni Furthermore, an increase in nitrogen concentration in ageing temperature range. The occurrence of strai structures. The formation of irreversible dislocation s hardening in the stress respons...

The present experimental investigations deal with the improvement of mechanical properties of cold work tool steels through different heat treatment processes. An attempt was made to get optimal combination of hardness and toughness through changes of microstructure by heat treatment. The toughness of D2 tool steel increases with tempering temperature. The hardness of D2 tool steel decreases wi...

The hot deformation behaviour of austenite in steels is a complicated process which depends on chemical composition, microstructure, temperature and strain rate. While many models have been developed to represent the flow stress as a function of these variables, it is not yet possible to predict the behaviour for a new alloy. Linear regression techniques are not capable of representing the data...