P
Peter Franke
Researcher at Karlsruhe Institute of Technology
Publications - 18
Citations - 348
Peter Franke is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: CALPHAD & Gibbs free energy. The author has an hindex of 9, co-authored 18 publications receiving 248 citations.
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The Cu–Sn phase diagram part II: New thermodynamic assessment
TL;DR: In this paper, a thermodynamic description for the Cu-Sn system was developed using the CALPHAD approach taking into account all available literature data as well as the experimental results presented in Part I of this work.
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Ductilisation of tungsten (W): Tungsten laminated composites
Jens Reiser,Lauren M. Garrison,H. Greuner,Jan Hoffmann,Tobias Weingärtner,U. Jäntsch,Michael Klimenkov,Peter Franke,Simon Bonk,Carsten Bonnekoh,Sven Sickinger,Siegfried Baumgärtner,Daniel Bolich,Mirjam Hoffmann,R. Ziegler,Joachim Konrad,Jörg Hohe,Andreas Hoffmann,Tobias Mrotzek,Martin Seiss,Michael Rieth,Anton Möslang +21 more
TL;DR: In this article, the mechanisms of plastic deformation and fracture of tungsten laminated composites are elucidated by means of three-point bending, Charpy impact, and tensile tests.
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Experimental investigation and thermodynamic re-assessment of the Al–Mo–Ni system
TL;DR: In this paper, the liquidus and solidus temperatures of the NiAl-Mo system were measured by a laser heating-fast pyrometry apparatus and the results agree well with literature data.
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Modeling of Thermal Vacancies in Metals within the Framework of the Compound Energy Formalism
TL;DR: In this article, the thermodynamics of thermal vacancies in pure metals are analyzed within the compound energy formalism and two ranges with different solution behavior for the equilibrium state are available depending on the choice of the compound energies of the vacancies.
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Thermodynamic investigations in the Al-Fe system: Heat capacity measurements of three intermetallic phases
TL;DR: In this paper, the heat capacity functions of the three intermetallic phases were represented by regression functions over the complete measured temperature intervals, and the obtained data are lower than the estimations based on the Neumann-Kopp rule over a large temperature range.