SYMPOSIA PAPER Published: 28 July 2021
STP162220190031

Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy

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Compression dilatometer tests were used to study the hot deformation response of a zirconium (Zr)-2.5% niobium (Nb) alloy over the temperature range 650°C to 850°C and strain rates of 10−2.5 s−1 to 10+1 s−1. A high number of test conditions was used (72, with every test duplicated) in order to assess how differences in data processing influence the resulting relationships among flow stress, temperature, and strain rate. Particular attention was paid to processing maps, showing strain-rate sensitivity over the processing domain, commonly cited in the field and widely used as a basis to determine optimum processing conditions. Significant variations in these maps were found to depend on the number of data points included and the fitting procedure used to smooth the data. A finite element model of the test demonstrates the order of the corrections that can be required to the flow stress and the consequent processing maps due to friction at the platen-workpiece interface and nonuniform temperature and deformation in the test piece. Changes in crystallographic texture, measured using electron-backscatter diffraction, illustrate the effect of temperature, strain, and strain rate on the deformation, phase transformation, and recrystallization mechanisms. A significant spread in response arises as a result of variation in microtexture among samples and the tendency for flow to localize, giving rise to scatter in the measurements and generating artifacts in the processing map. Although the processing map methodology is strongly affected by experimental uncertainty, a detailed analysis of the final microstructures in the test samples shows similar features to those produced during industrial-scale processing, providing insight into the deformation mechanisms in dual-phase Zr-Nb alloys.

Author Information

Daniel, Christopher, S.
Centre for Light Alloy Research and Innovation, The University of Manchester, Manchester, GB
Jedrasiak, Patryk
Dept. of Engineering, University of Cambridge, Cambridge, GB
Peyton, Christian, J.
Centre for Light Alloy Research and Innovation, The University of Manchester, Manchester, GB
Quinta da Fonseca, João
Centre for Light Alloy Research and Innovation, The University of Manchester, Manchester, GB
Shercliff, Hugh, R.
Dept. of Engineering, University of Cambridge, Cambridge, GB
Bradley, Luke
Rolls-Royce plc, Derby, GB
Honniball, Peter, D.
Rolls-Royce plc, Derby, GB
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Details
Pages: 93–122
DOI: 10.1520/STP162220190031
ISBN-EB: 978-0-8031-7691-1
ISBN-13: 978-0-8031-7690-4