Browsing NTNU Open by Author "Midgley, Paul A."
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Crystallographic relationships of T-/S-phase aggregates in an Al–Cu–Mg–Ag alloy
Sunde, Jonas Kristoffer; Johnstone, D.N.; Wenner, Sigurd; Van Helvoort, Antonius; Midgley, Paul A.; Holmestad, Randi (Journal article; Peer reviewed, 2018)T-(Al20Cu2Mn3) phase dispersoids are important for limiting recovery and controlling grain growth in Al-Cu alloys. However, these dispersoids can also reduce precipitation hardening by acting as heterogeneous nucleation ... -
Nanocrystal segmentation in scanning precession electron diffraction data
Bergh, Tina; Johnstone, D.N.; Crout, P; Høgås, Simon; Midgley, Paul A.; Holmestad, Randi; Vullum, Per Erik; Van Helvoort, Antonius (Journal article; Peer reviewed, 2019)Scanning precession electron diffraction (SPED) enables the local crystallography of materials to be probed on the nanoscale by recording a two‐dimensional precession electron diffraction (PED) pattern at every probe ... -
Scanning precession electron diffraction data analysis approaches for phase mapping of precipitates in aluminium alloys
Thronsen, Elisabeth; Bergh, Tina; Thorsen, Tor Inge; Christiansen, Emil; Frafjord, Jonas; Crout, Philip; Van Helvoort, Antonius Theodorus Johannes; Midgley, Paul A.; Holmestad, Randi (Peer reviewed; Journal article, 2023)Mapping the spatial distribution of crystal phases with nm-scale spatial resolution is an important characterisation task in studies of multi-phase materials. One popular approach is to use scanning precession electron ... -
Scanning Precession Electron Diffraction Study of Hybrid Precipitates in a 6xxx Series Aluminium Alloy
Sunde, Jonas Kristoffer; Johnstone, Duncan; Marioara, Calin Daniel; Van Helvoort, Antonius; Midgley, Paul A.; Holmestad, Randi (Journal article; Peer reviewed, 2017)Obtaining reliable and statistical assessment of nanoscale precipitates to link the microstructure with material properties is a primary objective of transmission electron microscopy (TEM) studies of agehardenable aluminium ... -
Unsupervised machine learning applied to scanning precession electron diffraction data
Martineau, B. H.; Johnstone, D.N.; Van Helvoort, Antonius; Midgley, Paul A.; eggeman, A.S (Journal article; Peer reviewed, 2019)Scanning precession electron diffraction involves the acquisition of a two-dimensional precession electron diffraction pattern at every probe position in a two-dimensional scan. The data typically comprise many more ...