Abstract
This paper presents and discusses the methodology and technical aspects of mechanical tests carried out at a wide strain rate range with simultaneous synchrotron X-ray diffraction measurements. The motivation for the study was to develop capabilities for in-situ characterization of the loading rate dependency of mechanically induced phase transformations in steels containing metastable austenite. The experiments were carried out at the DanMAX beamline of the MAX IV Laboratory, into which a custom-made tensile loading device was incorporated. The test setup was supplemented with in-situ optical imaging of the specimen, which allowed digital image correlation-based deformation analysis. All the measurement channels were synchronized to a common time basis with trigger signals between the devices as well as post-test fine tuning based on diffraction ring shape analysis. This facilitated precise correlation between the mechanical and diffraction data at strain rates up to 1 s−1 corresponding to test duration of less than one second. Diffraction data were collected at an acquisition rate of 250 Hz, which provided excellent temporal resolution. The feasibility of the methodology is demonstrated by providing novel data on the kinetics of the martensitic phase transformation in EN 1.4318-alloy following a rapid increase in strain rate (a so-called jump test).
| Original language | English |
|---|---|
| Pages (from-to) | 1320-1331 |
| Journal | Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science |
| Volume | 54 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2023 |
| MoE publication type | A1 Journal article-refereed |
Funding
We acknowledge MAX IV Laboratory for time on DanMAX under Proposal 20210793. Research conducted at MAX IV, a Swedish national user facility, is supported by the Swedish Research council under Contract 2018-07152, the Swedish Governmental Agency for Innovation Systems under Contract 2018-04969, and Formas under Contract 2019-02496. DanMAX is funded by the NUFI Grant No. 4059-00009B. Dr. Matti Isakov acknowledges the support from Tampere Institute for Advanced study. M.Sc. Veera Langi acknowledges the support from Steel and Metal Producers’ Fund. M.Sc. Lalit Pun acknowledges the support from Tampere University graduate school.
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