Research on inverse identification of johnson-cook constitutive parameters for turning 304 stainless steel based on coupling simulation
Author:
Publisher
Elsevier BV
Subject
Metals and Alloys,Surfaces, Coatings and Films,Biomaterials,Ceramics and Composites
Reference39 articles.
1. End milling of AISI 304 steel using minimum quantity lubrication;Babu;Measurement,2019
2. Superior mechanical properties and deformation mechanisms of a 304 stainless steel plate with gradient nanostructure;Sun;Int J Plast,2022
3. Investigation of stress corrosion cracking initiation in machined 304 austenitic stainless steel in magnesium chloride environment;Zhang;J Mater Eng Perform,2020
4. Wear performance of surface treated drills in high speed drilling of AISI 304 stainless steel;Khan;J Manuf Process,2020
5. Dislocation-mechanics-based constitutive relations for material dynamics calculations;Zerilli;J Appl Phys,1987
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1. Parameter identification of Johnson–Cook constitutive model based on genetic algorithm and simulation analysis for 304 stainless steel;Scientific Reports;2024-09-11
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3. Genetic algorithm-based parameter identification of Johnson- Cook constitutive model for 304 stainless steel;2024-06-04
4. Damage evolution modeling of CFRP/Al single-lap screw type blind riveted joints during realistic installation process;Composite Structures;2024-06
5. Effect of texture location in tool-chip friction region on cutting performance in turning AISI 304;The International Journal of Advanced Manufacturing Technology;2024-04-04
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