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ID11 beamline Multipurpose beamline for diffraction experiments

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Presentation on theme: "ID11 beamline Multipurpose beamline for diffraction experiments"— Presentation transcript:

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2 ID11 beamline Multipurpose beamline for diffraction experiments
Physical, chemical and mechanical properties of materials Diffraction + imaging Optics hutch Moderate to high energy / 18 – 140keV (U22, CPM18, double bent crystal monochromator) Focusing by in vacuum transfocator Secondary optics hutch - KB mirrors l ID11 l l Pavel Sedmak

3 ID11 beamline Two experimental hutches
EH1: powder diffraction, single crystals, PDF Heavy load sample environments Fast Frelon 2D detector l ID11 l l Pavel Sedmak

4 ID11 beamline Two experimenteal hutches EH3: 3D XRD, DCT, Nanoscope
Frelon21 or Frelon4M l ID11 l l Pavel Sedmak

5 Experiments Polycrystalline materials, single crystals, glasses
Sample environment - ADMET stress rig (5kN), ETMT stress rig furnace, gas blower, cryostream … l ID11 l l Pavel Sedmak

6 Experiments 3D XRD microscopy Data collection using 2D detectors
3D XRD experiments – transmission geometry rotation around ω axis l ID11 l l Pavel Sedmak

7 Experiments 3D XRD microscopy Data collection using 2D detectors
3D XRD experiments – transmission geometry rotation around ω axis Data analysis using ImageD11 software (ID11 & DTU) Grainmap containing 1000s of grains For each grain: Centre of mass position Size Orientation Averaged strain  stress l ID11 l l Pavel Sedmak

8 Experiments Nanoscope Beamsize down to 250x300um
Small grained samples, highly defective Similar experiments – 3dxrd, single crystals … Diffraction tomography – scanning across the sample + rotation Data analysis using ImageD11 software – adapted for diffraction tomography Grainmaps l ID11 l l Pavel Sedmak

9 Experiments DCT Data collection using 2D WB detector
(field of view depends on optics) DCT experiments – transmission geometry rotation around ω axis Data analysis using Matlab software (ID11) l ID11 l l Pavel Sedmak

10 pyFAI What do we use it for? Calibration of sample-detector distance
Averaging and Integration of the powder diffraction data Future: part of the data analysis Pole figures l ID11 l l Pavel Sedmak


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