Details
| Original language | English |
|---|---|
| Pages (from-to) | 247-253 |
| Number of pages | 7 |
| Journal | Shape memory and superelasticity: advances in science and technology |
| Volume | 2 |
| Issue number | 3 |
| Early online date | 6 Jun 2016 |
| Publication status | Published - Sept 2016 |
| Externally published | Yes |
Abstract
Numerical simulations are a powerful tool to analyze the complex thermo-mechanically coupled material behavior of shape memory alloys during product engineering. The benefit of the simulations strongly depends on the quality of the underlying material model. In this contribution, we discuss a variational approach which is based solely on energetic considerations and demonstrate that unique calibration of such a model is sufficient to predict the material behavior at varying ambient temperature. In the beginning, we recall the necessary equations of the material model and explain the fundamental idea. Afterwards, we focus on the numerical implementation and provide all information that is needed for programing. Then, we show two different ways to calibrate the model and discuss the results. Furthermore, we show how this model is used during real-life industrial product engineering.
Keywords
- Mechanical behavior, Shape memory, Stress-induced martensitictransformation, Thermoleastic
ASJC Scopus subject areas
- Engineering(all)
- Mechanics of Materials
- Materials Science(all)
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In: Shape memory and superelasticity: advances in science and technology, Vol. 2, No. 3, 09.2016, p. 247-253.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Calibration and finite element implementation of an energy-based material model for shape memory alloys
AU - Junker, Philipp
AU - Hackl, Klaus
N1 - Publisher Copyright: © 2016, ASM International.
PY - 2016/9
Y1 - 2016/9
N2 - Numerical simulations are a powerful tool to analyze the complex thermo-mechanically coupled material behavior of shape memory alloys during product engineering. The benefit of the simulations strongly depends on the quality of the underlying material model. In this contribution, we discuss a variational approach which is based solely on energetic considerations and demonstrate that unique calibration of such a model is sufficient to predict the material behavior at varying ambient temperature. In the beginning, we recall the necessary equations of the material model and explain the fundamental idea. Afterwards, we focus on the numerical implementation and provide all information that is needed for programing. Then, we show two different ways to calibrate the model and discuss the results. Furthermore, we show how this model is used during real-life industrial product engineering.
AB - Numerical simulations are a powerful tool to analyze the complex thermo-mechanically coupled material behavior of shape memory alloys during product engineering. The benefit of the simulations strongly depends on the quality of the underlying material model. In this contribution, we discuss a variational approach which is based solely on energetic considerations and demonstrate that unique calibration of such a model is sufficient to predict the material behavior at varying ambient temperature. In the beginning, we recall the necessary equations of the material model and explain the fundamental idea. Afterwards, we focus on the numerical implementation and provide all information that is needed for programing. Then, we show two different ways to calibrate the model and discuss the results. Furthermore, we show how this model is used during real-life industrial product engineering.
KW - Mechanical behavior
KW - Shape memory
KW - Stress-induced martensitictransformation
KW - Thermoleastic
UR - http://www.scopus.com/inward/record.url?scp=85017059231&partnerID=8YFLogxK
U2 - 10.1007/s40830-016-0072-1
DO - 10.1007/s40830-016-0072-1
M3 - Article
VL - 2
SP - 247
EP - 253
JO - Shape memory and superelasticity: advances in science and technology
JF - Shape memory and superelasticity: advances in science and technology
IS - 3
ER -