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材料力学研究室(岩本剛研究室)
Laboratory of Mechanics of Materials (Takeshi Iwamoto Laboratory)

広島大学大学院先進理工系科学研究科機械工学プログラム Mechanical Engineering Program, Graduate School of Advanced Science and Engineering, Hiroshima University
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#author("2025-06-29T07:00:29+00:00","default:admin","admin")
#author("2025-06-29T07:28:53+00:00","default:admin","admin")
[[劉 睿和]]

Research Objective: &br;
In modern industries, materials under complex loading conditions often exhibit plastic instabilities, such as the X-shaped localized deformation bands (LDBs) and strain-induced martensitic transformation (SIMT) observed in SUS304, which significantly affect formability and fracture behavior. Although previous studies have explored their dependence on temperature and strain rate, the influence of specimen geometry and crystallographic orientation on localized deformation and fracture mechanisms remains insufficiently understood. On the other hand, conventional DIC methods suffer from reduced image matching accuracy under large deformation conditions, making it difficult to stably track the propagation of LDBs and thus limiting in-depth analysis of their evolution and associated fracture behavior. To address these challenges, this study develops an optimized DIC program based on the Ncorr library and integrates it with the DCPD technique to systematically investigate the propagation of LDBs and fracture behavior in SUS304, aiming to enhance the understanding of strain localization and fracture mechanisms. &br;
&br;&br;
Results so far:

1. Nominal stress-strain curves with LDB phenomenon in various rolling directions: &br;
|>|&ref(1.png);|
&br;&br;
2. Nominal stress-strain curves with LDB phenomenon in various fillet radii: &br;
|>|&ref(2.png);|
&br;&br;
3. Capture of LDBs at the rolling direction of 90° &br;
 a. Green strain increment distribution based on Updated Lagrangian Framework: &br;
 a. Green strain increment distribution based on Open Source Ncorr: &br;
|>|&ref(i90.gif);|
&br;&br;
 b. Global green strain distribution based on Updated Lagrangian Framework: &br;
 b. Global green strain distribution based on Open Source Nocrr: &br;
|>|&ref(g90.gif);|
&br;&br;

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