Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jain, Komal; Gautam, Mamta; Saeed, Abdulkafi Mohammed; Sharma, Shweta; Tiwari, Rakhi; Soni, Amita Title A name given to the resource Analysis using a modified Johnsoncook model for AISI 304 stainless steel and ofprior dynamic tensile behavior deformed AISI type 304 stainless steel Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Archive of Applied Mechanics;Volume;95;Issue;10;Article No.;231; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s00419-025-02934-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00419-025-02934-0</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105016573063?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016573063?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jain K., Christ University, Bengaluru, 560029, India; Gautam M., Department of Applied Science and Humanities, ABES Engineering College Ghaziabad, Uttar Pradesh, Ghaziabad, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia; Sharma S., Department of Applied Science and Humanities, ABES Engineering College Ghaziabad, Uttar Pradesh, Ghaziabad, India; Tiwari R., Department of Mathematics, Babasaheb Bhimrao Ambedkar Bihar University, Muzzafarpur, India; Soni A., Dr. D.Y. Patil School of Science and Technology, Dr. D.Y. Patil Vidyapeeth Tathawade, Pune, 411033, India Description An account of the resource 304 stainless austenitic steel (AISI 304) is renowned for its high temperature resistance and has been the subject of considerable research. To explore its rheological behavior at high temperature, isothermal hot compression experiments were conducted on the Gleeble-3800 thermal simulator at temperatures of 8001200 C, strain rates of 0.01111 s-1, and a total strain of 60%. From the experimental data, a JohnsonCook (JC) constitutive model was formulated and further optimized. The optimized model considers the combined effect of strain, strain rate, and temperature, resulting in a more precise constitutive equation. The enhanced JC model had excellent predictive power, with a correlation coefficient (Rco) of 0.9884 and an average absolute relative error (AARE) of 8.42%. ABAQUS simulations for verification confirmed the model to be valid. This study offers valuable theoretical information for the hot working of SS 304, enabling more precise predictions of stress behavior at high temperature and easier optimization of processing parameters and overall material behavior. Also, deformation of metastable austenitic stainless steel at temperatures below the Md point leads to the transformation of austenite into martensite. This study investigates how prior deformation, conducted at temperatures both below and above Md, affects the dynamic tensile behavior of AISI 304 stainless steel. Pre-deformation at 25C (below Md), as well as at elevated temperatures of 200C and 300C (above Md), enhances both the yield strength and ultimate tensile strength of the material. Notably, prior deformation at 25C to a small equivalent strain (&lt; 0.03) results in significant improvements in strength (22%) and ductility (2137%) during subsequent high strain-rate tensile loading at 200 and 300s?1. The evolution of local strain fields and strain rates is analyzed using digital image correlation. Additionally, the development of localized necking is investigated through in-situ high-speed camera imaging. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. Subject The topic of the resource 304 Stainless steel; Digital image correlation; Isothermal hot compression; Johnsoncook model; Localized necking; Rheological behavior Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 9391533; CODEN: AAMEE Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online