• DocumentCode
    3468279
  • Title

    Inversion of spectroscopic measurements for extracting particle size distribution

  • Author

    Pariset, Carlo ; Thennadil, Suresh N.

  • Author_Institution
    Sch. of Chem. Eng. & Adv. Mater., Newcastle Univ., Newcastle upon Tyne
  • fYear
    2009
  • fDate
    23-26 March 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Information on the particle size distribution (PSD) of a particulate system is contained in the turbidity measurements. To obtain the PSD from such measurements, the inversion of a Fredholm integral of the first kind is required. To solve this ill-posed problem Tikhonov regularization technique can be used. The central issue in every regularization problem is the choice of an effective regularization parameter and to perform such a choice in a complete automatic way without any inputs from the operator. In this work the PSD of polystyrene spheres in water are estimated from turbidity measurements using a CARY5000 spectrometer. Two formulations for the search of the regularization parameter based on cross-validation are compared and a two-step process integrating the two formulations is investigated.
  • Keywords
    Fredholm integral equations; particle size measurement; spectrometers; spectroscopy; turbidity; CARY5000 spectrometer; Fredholm integral; Tikhonov regularization; ill-posed problem; particle size distribution; particulate system; polystyrene spheres; regularization parameter; regularization problem; spectroscopic measurement; turbidity measurements; Chemical engineering; Data mining; Industrial control; Integral equations; Light scattering; Particle measurements; Refractive index; Signal processing; Size measurement; Spectroscopy; Generalized cross validation; Regularization parameter; Tikhonov regularization; Turbidity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on
  • Conference_Location
    Djerba
  • Print_ISBN
    978-1-4244-4345-1
  • Electronic_ISBN
    978-1-4244-4346-8
  • Type

    conf

  • DOI
    10.1109/SSD.2009.4956810
  • Filename
    4956810