Journal article
In Situ Measurement and Prediction of Stresses and Strains During Casting of Steel
Metallurgical and materials transactions. A, Physical metallurgy and materials science, Vol.47(2), pp.811-829
11/16/2015
DOI: 10.1007/s11661-015-3184-x
Abstract
Modeling the thermo-mechanical behavior of steel during casting is of great importance for the prediction of distortions and cracks. In this study, an elasto–visco–plastic constitutive law is calibrated with mechanical measurements from casting experiments. A steel bar is solidified in a sand mold and strained by applying a force to bolts that are embedded in the two ends of the bar. The temporal evolutions of the restraint force and the bar’s length change are measured
in situ
. The experiments are simulated by inputting calculated transient temperature fields into a finite element stress analysis that employs the measured forces as boundary conditions. The thermal strain predictions are validated using data from experiments without a restraint. Initial estimates of the constitutive model parameters are obtained from available mechanical test data involving reheated steel specimens. The temperature dependence of the strain rate sensitivity exponent is then adjusted until the measured and predicted length changes of the strained bars agree. The resulting calibrated mechanical property dataset is valid for the high-temperature austenite phase of steel. The data reveal a significantly different mechanical behavior during casting compared to what the stress–strain data from reheated specimens show.
Details
- Title: Subtitle
- In Situ Measurement and Prediction of Stresses and Strains During Casting of Steel
- Creators
- Daniel Galles - University of IowaChristoph Beckermann - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Metallurgical and materials transactions. A, Physical metallurgy and materials science, Vol.47(2), pp.811-829
- Publisher
- Springer US
- DOI
- 10.1007/s11661-015-3184-x
- ISSN
- 1073-5623
- eISSN
- 1543-1940
- Language
- English
- Date published
- 11/16/2015
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984196552302771
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