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Improved prediction of strain distribution during mechanical and hydro-mechanical deep drawing processes using microstructure-based dynamic strain hardening and anisotropy

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Title Improved prediction of strain distribution during mechanical and hydro-mechanical deep drawing processes using microstructure-based dynamic strain hardening and anisotropy
 
Creator VADAVADAGI, BH
SHEKHAWAT, SK
NARASIMHAN, K
SAMAJDAR, I
 
Subject LOW-CARBON-STEEL
NUMERICAL-SIMULATION
FORMING PROCESS
LOCALIZATIONS
DEFORMATION
FORMABILITY
WORKPIECES
Mechanical deep drawing
hydro-mechanical deep drawing
strain hardening exponent
anisotropy index
strain distribution
 
Description Interstitial free (IF) and drawing quality (DQ) steel sheets were subjected to conventional mechanical deep drawing and hydro-mechanical deep drawing operations. Detailed macroscopic strain measurements were made at different cup depths. These were simulated using PAM-STAMP, a commercial finite element-based software. For continuum-based finite element simulations, the required key material properties are strain hardening exponent (n) and anisotropy index ((r) over bar). These were kept either constant or dynamically varied during the simulation. The constant properties were taken from conventional tensile tests of the original material, while the dynamic variation in properties was extrapolated from developments in the crystallographic texture and in-grain misorientation. Considering dynamic properties during simulation provided a superior prediction of macroscopic strains. This study clearly demonstrates the need for considering evolution of critical continuum properties, such as work hardening and anisotropy index, through appropriate microstructural inputs for more realistic macroscopic predictions.
 
Publisher SAGE PUBLICATIONS LTD
 
Date 2016-01-15T10:03:44Z
2016-01-15T10:03:44Z
2015
 
Type Article
 
Identifier JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 50(1)51-60
0309-3247
2041-3130
http://dx.doi.org/10.1177/0309324714552336
http://dspace.library.iitb.ac.in/jspui/handle/100/18322
 
Language en