Super-austenitic stainless steels are special grades of austenitic stainless steels alloyed with higher concentrations of chromium and nickel in addition to the presence of relatively higher contents of nitrogen, molybdenum and copper. Due to their excellent combination of alloying elements, these steels often possess superior mechanical properties and greater corrosion resistance compared to ordinary grades of austenitic stainless steels, facilitating their wide applicability in thermonuclear industries and chemicals. Thermomechanical processing is widely used for manufacturing complex alloy parts and shapes used for various industrial applications. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get Original Essay Evaluation of forming load is of utmost importance in forming industries for designing various forming components. The forming load often depends on the flow behavior, deformation geometry, and friction between the workpiece and the die interface. Therefore, the development of constitutive relationships to predict the behavior of high-temperature flow is important. The constitutive flow behavior of polycrystalline alloys often proves to be very complex and depends largely on various processing parameters such as temperature, strain and strain rate. Various constituent models, viz. Physics-based phenomenological and empirical/semi-empirical models have been developed by researchers in the past to predict the flow behavior of different grades of metals and alloys after hot deformation. Among the physical/phenomenological relationships, the Johnson-Cook (JC) and Zerilli-Armstrong (ZA) models are widely used in various commercial metal forming simulation software. The JC model only considers the individual effect of processing parameters viz. isotropic hardening, strain rate hardening and thermal softening. Although the JC model has been widely used in flow forecasting, it often fails when there is a change in the flow mechanism. In contrast, the ZA model has often been preferred for low temperature strains below 0.6 Tm, where Tm is the melting temperature of the alloy [45,46]. The ZA model often gives better predictions than the JC model because it couples the effect of processing parameters such as temperature and strain rates. However, this model is generally not suitable for predicting flow stress at higher temperatures (i.e. > 0.6 Tm) and lower strain rates. Considering this, a modified ZA (M-ZA) model was proposed by Samantaray et al. to make it suitable for predicting flow behavior at high temperatures and in a wide strain rate range. This was accomplished by neglecting the athermal part of the flow stress and incorporating the coupled effects of strain rate and temperature as well as strain and temperature. The M-ZA model has been successfully applied by various researchers for different grades of materials. Keep in mind: this is just a sample. Get a personalized article from our expert writers now. Get a Custom Test Before considering developing a new model, we first evaluated the applicability of the JC and M-ZA models to predict the flow behavior of the studied alloy. The individual and coupled effects of various process parameters viz. there..