P
Peter Lang
Researcher at Vienna University of Technology
Publications - 19
Citations - 329
Peter Lang is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Differential scanning calorimetry & Precipitation (chemistry). The author has an hindex of 9, co-authored 19 publications receiving 266 citations. Previous affiliations of Peter Lang include University of Cambridge.
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Thermo-kinetic prediction of metastable and stable phase precipitation in Al–Zn–Mg series aluminium alloys during non-isothermal DSC analysis
TL;DR: In this article, the authors describe the precipitate evolution during non-isothermal temperature changes, namely continuous heating differential scanning calorimetry (DSC) analysis, and investigate the distribution and the morphology of the metastable and stable precipitates and the heat flow accompanying the precipitation process.
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CALPHAD modeling of metastable phases in the Al–Mg–Si system
TL;DR: In this article, a thermodynamic assessment of the metastable phases in Al-Mg-Si alloys is presented, based on a split model of fcc-based ordering for Guinier-Preston (GP) zones as suggested by the assessment of microstructural data.
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Simulation of the effect of composition on the precipitation in 6xxx Al alloys during continuous-heating DSC
TL;DR: In this paper, a combination of experimental DSC analysis and computer simulation of precipitation kinetics is proposed to overcome the problem of precipitation peaks of phases overlap, where three industrial alloys with different main solute contents, namely Mg, Si, Cu are used.
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Thermodynamics of Ti–Ni shape memory alloys
TL;DR: In this paper, the authors presented the CALPHAD descriptions of metastable intermetallic phases and optimized their thermodynamic model parameters with experimental solvus data and molar enthalpies at 0-K from new first-principles analysis.
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Precipitation in Al-Alloy 6016 – The Role of Excess Vacancies
TL;DR: In this article, the authors explore the basic features of this model in the simulation of the excess vacancy evolution during technological heat treatments, and the focus of this article lies on the effect of vacancy supersaturation during different heat treatment steps, such as quenching, heating, natural and artificial aging.