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BiBTeX citation export for WEPB09: An FEA Investigation of the Vibration Response of the BEATS Detector Stage

@unpublished{mokoena:medsi2020-wepb09,
  author       = {T.F. Mokoena and M. Bhamjee and S.H. Connell and G. Iori and A. Kaprolat and P. Van Vaerenbergh},
  title        = {{An FEA Investigation of the Vibration Response of the BEATS Detector Stage}},
  booktitle    = {Proc. MEDSI'20},
  language     = {english},
  intype       = {presented at the},
  series       = {Mechanical Engineering Design of Synchrotron Radiation Equipment and Instrumentation},
  number       = {11},
  venue        = {Chicago, IL, USA},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {10},
  year         = {2021},
  note         = {presented at MEDSI'20 in Chicago, IL, USA, unpublished},
  abstract     = {{As for all Synchrotron Radiation based installations, floor vibrations lead to unreliable results if transmitted to sensible equipment like sample environment and detection systems. It is important to design the optical and experimental equipment of a beamline in a way to minimize the effect of the vibrations. This project investigates the design of the detector stage in SESAME’s tomography beamline BEATS by using random vibration analysis to determine the rigidity of the structure. The design analysis of the detector stage takes the approach of using an existing installation at beamline ID28 of the European Synchrotron Radiation Facility by measuring the power spectrum density of the floor on which the structure is mounted on as well as the response of the structure stage as it is subjected to an excitation from ambient floor noise. A finite element analysis numerical model was established and validated against the experimental data. Once the model is validated within acceptable range, the technique will be applied to the BEATS detector stage design by applying the floor power spectrum density of the SESAME synchrotron and calculating the response of the structure. It is assumed that the random vibration process in this case follows a Gaussian normal distribution. The response power spectrum density Root Mean Square value at the location of interest should be at least 6 times less than the pixel size of the camera that will be used in detector. For the ID28 case, the model was validated by comparing the natural frequency measured and the experimental output RMS value against the model output RMS value. The model natural frequencies deviated from the experimental results by 4.53% and the model RMS values deviated from the experimental results by 1.91%.}},
}