ID 11 Beamline Multipurpose beamline for diffraction experiments

ID 11 Beamline • Multipurpose beamline for diffraction experiments • Physical, chemical and mechanical properties of materials • Diffraction + imaging Optics hutch • Moderate to high energy / 18 – 140 ke. V (U 22, CPM 18, double bent crystal monochromator) • Focusing by in vacuum transfocator • Secondary optics hutch - KB mirrors Page 2 l ID 11 l 7. 06. 2017 l Pavel Sedmak

ID 11 Beamline Two experimental hutches • EH 1: powder diffraction, single crystals, PDF • Heavy load sample environments • Fast Frelon 2 D detector Page 3 l ID 11 l 7. 06. 2017 l Pavel Sedmak

ID 11 Beamline Two experimenteal hutches • EH 3: 3 D XRD, DCT, Nanoscope • Frelon 21 or Frelon 4 M Page 4 l ID 11 l 7. 06. 2017 l Pavel Sedmak

Experiments • Polycrystalline materials, single crystals, glasses • Sample environment - ADMET stress rig (5 k. N), ETMT stress rig furnace, gas blower, cryostream … Page 5 l ID 11 l 7. 06. 2017 l Pavel Sedmak

Experiments 3 D XRD microscopy • Data collection using 2 D detectors • 3 D XRD experiments – transmission geometry rotation around ω axis Page 6 l ID 11 l 7. 06. 2017 l Pavel Sedmak

Experiments 3 D XRD microscopy • Data collection using 2 D detectors • 3 D XRD experiments – transmission geometry rotation around ω axis • Data analysis using Image. D 11 software (ID 11 & DTU) • Grainmap containing 1000 s of grains • For each grain: • • Page 7 l ID 11 l 7. 06. 2017 l Pavel Sedmak Centre of mass position Size Orientation Averaged strain stress

Experiments Nanoscope • Beamsize down to 250 x 300 um • Small grained samples, highly defective • Similar experiments – 3 dxrd, single crystals … • Diffraction tomography – scanning across the sample + rotation • • Data analysis using Image. D 11 software – adapted for diffraction tomography Grainmaps Page 8 l ID 11 l 7. 06. 2017 l Pavel Sedmak

Experiments DCT • Data collection using 2 D WB detector • (field of view depends on optics) • DCT experiments – transmission geometry rotation around ω axis • Data analysis using Matlab software (ID 11) Page 9 l ID 11 l 7. 06. 2017 l Pavel Sedmak

py. FAI 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 Page 10 l ID 11 l 7. 06. 2017 l Pavel Sedmak