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Volume 35 Issue 3
May  2013
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Application of independent model inverse algorithm in laser particle size measurement

  • Corresponding author: LIU Chan-lao, lcl0123@sohu.com
  • Received Date: 2010-07-21
    Accepted Date: 2010-09-07
  • Particle size inverse algorithm is the key technology for laser particle size analyzer based on Mie theory. Because the independent model iterative inverse algorithm was so sensitive to noise that it can not be used in actual particle size measurement, five-spot triple smoothing algorithm was proposed to conduct independent model iterative inversion. With VISUAL C++6.0 as development platform, the software was written and simulation was carried out. The simulation result was compared with actual distribution. The distribution error of special particle size D10, D90 was less than 5%, and the distribution error of special particle size D50 was less than 3%. The results show that only the inversion data after smoothing processing can reveal the actual distribution of particle size. The inversion result distortion induced by the optical energy detection error can be overcome. This algorithm can satisfy the requirements of high accuracy, anti-jamming and stability for particle size measurement in modern power industry.
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Application of independent model inverse algorithm in laser particle size measurement

    Corresponding author: LIU Chan-lao, lcl0123@sohu.com
  • 1. Department of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China

Abstract: Particle size inverse algorithm is the key technology for laser particle size analyzer based on Mie theory. Because the independent model iterative inverse algorithm was so sensitive to noise that it can not be used in actual particle size measurement, five-spot triple smoothing algorithm was proposed to conduct independent model iterative inversion. With VISUAL C++6.0 as development platform, the software was written and simulation was carried out. The simulation result was compared with actual distribution. The distribution error of special particle size D10, D90 was less than 5%, and the distribution error of special particle size D50 was less than 3%. The results show that only the inversion data after smoothing processing can reveal the actual distribution of particle size. The inversion result distortion induced by the optical energy detection error can be overcome. This algorithm can satisfy the requirements of high accuracy, anti-jamming and stability for particle size measurement in modern power industry.

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