$single crystal diffraction simulation bcc$

$single crystal diffraction simulation bcc$

Melgaard, A search/match procedure for electron diffraction data based on pattern matching in binary bit maps.

$single crystal diffraction simulation bcc$

Karen, NIST crystallographic databases for research and analysis. Hart, ZONES: a search/match database for single crystal electron diffraction. Schwaab, Computer assisted indexing of electron diffraction patterns. Wang, ElectronDiffraction tools, a DigitalMicrograph package for electron diffraction analysis. Jäger, Crystallographic Tool Box ( CrysTBox): automated tools for transmission electron microscopists and crystallographers. Lábár, Consistent indexing of a (set of) single crystal SAED pattern(s) with the ProcessDiffraction program. Tam, Processing of electron diffraction patterns acquired on a slow-scan CCD camera. Narayan, A sorting and searching computer program to index electron diffraction patterns from crystals of low symmetry. Rao, Computer-aided indexing of transmission electron diffraction patterns. Wilkes, Complete indexing of electron diffraction patterns by computer. Wilkes, A general program for interpreting electron diffraction patterns. Andrew, A method for the solution of electron diffraction patterns. Thomas, Slide rule method for indexing electron indexing patterns. Electron Diffraction in the Electron Microscope (MacMillan, London, UK, Monograph Two, 1975) Edington, Practical Electron Microscopy in Materials Science. Prantl, A computer program for unique indexing of electron diffraction patterns. Pitsch, On the accuracy of orientation determination by selected area electron diffraction. (Springer Science+Business Media, LLC, 1967) Keown, Interpretation of Electron Diffraction Patterns, 1st edn. The current state of these efforts will be described and future developments discussed. Here in contrast, a physics-based crystal plasticity model incorporated into a computationally efficient hierarchical multi-scale forming simulation will be employed aiming to more accurately predict texture and strength changes. However, current phenomenological hardening models are not able to correctly reproduce the anisotropic strength evolution during forming. During pipe forming the coil material experiences a complex deformation history with several strain path changes leading to pipe properties differing from those of the coil.

$single crystal diffraction simulation bcc$

The second part then presents ongoing experimental und numerical activities aiming to predict the mechanical properties of ferritic steel pipes manufactured from hot rolled coils. In addition, secondary phases can largely increase hardening rates beyond those of single-phase microstructures. The residual Burgers vector emerges as a central quantity to rationalize the experimental hardening/softening trends originating from twin-related dislocation reactions. By incorporating them into a crystal plasticity framework their contribution to latent and self-hardening is quantified and correlated with dislocation reactions. Using selected single crystal orientations slip-slip, slip-twin, twin-slip and twin-twin interactions are triggered. The first part of this talk examines strain hardening mechanisms in face centered cubic based FeCoNiCr(Mn,Al) single and dual-phase high entropy alloys.

$single crystal diffraction simulation bcc$

Single crystal diffraction simulation bcc