Differential Scanning Calorimetry and thermodynamic predictions—A comparative study of Al-Zn-Mg-Cu alloys
| Autor: | Stefan Pogatscher, Peter J. Uggowitzer, Gernot Kolb, Daniel Pöschmann, Helmut Antrekowitsch, Stefanie Scheiber |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
010302 applied physics
lcsh:TN1-997 Materials science Metallurgy Alloy Metals and Alloys Al-Zn-Mg-Cu alloys Aluminium alloys 02 engineering and technology Solidus engineering.material 021001 nanoscience & nanotechnology 01 natural sciences aluminium alloys CALPHAD differential scanning calorimetry Differential scanning calorimetry 0103 physical sciences engineering General Materials Science 0210 nano-technology lcsh:Mining engineering. Metallurgy |
| Zdroj: | Metals, Vol 6, Iss 8, p 180 (2016) Metals; Volume 6; Issue 8; Pages: 180 Metals, 6 (8) |
| ISSN: | 2075-4701 |
| DOI: | 10.3929/ethz-b-000119906 |
| Popis: | Al-Zn-Mg-Cu alloys are widely used in aircraft applications because of their superior mechanical properties and strength/weight ratios. Commercial Al-Zn-Mg-Cu alloys have been intensively studied over the last few decades. However, well-considered thermodynamic calculations, via the CALPHAD approach, on a variation of alloying elements can guide the fine-tuning of known alloy systems and the development of optimized heat treatments. In this study, a comparison was made of the solidus temperatures of different Al-Zn-Mg-Cu alloys determined from thermodynamic predictions and differential scanning calorimetry (DSC) measurements. A variation of the main alloying elements Zn, Mg, and Cu generated 38 experimentally produced alloys. An experimental determination of the solidus temperature via DSC was carried out according to a user-defined method, because the broad melting interval present in Al-Zn-Mg-Cu alloys does not allow the use of the classical onset method for pure substances. The software algorithms implemented in FactSage®, Pandat™, and MatCalc with corresponding commercially available databases were deployed for thermodynamic predictions. Based on these investigations, the predictive power of the commercially available CALPHAD databases and software packages was critically reviewed. Metals, 6 (8) ISSN:2075-4701 |
| Databáze: | OpenAIRE |
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