Acta Optica Sinica, Volume. 39, Issue 2, 0212009(2019)
An Improved Inversion Algorithm to Measure Particle Size Distribution
An improved solution algorithm of the ill-posed problem is proposed to measure the particle size distribution, which is combined with the truncated singular value decomposition(TSVD) method, the modified singular value decomposition method, the Tikhonov regularization method, and the Chahine iteration method. The singular cutoff value is determined by the Backus-Gilbert tradeoff criteria and the minimum principle of singular value. The optimal regularization parameters are determined by the L-curve method, and the simultaneous iterative reconstruction technique (SIRT) is adopted to realize the non-negative constraint of the solution. The simulation and experimental results show that the measurement errors of the single-peak and bimodal distributions are both less than 3% by the proposed algorithm. In addition, the proposed algorithm has obvious advantages superior to the other inversion algorithms in the anti-noise performance, measurement accuracy, timeliness, and measurement range of the particle size.
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Chen Wang, Biao Zhang, Lixia Cao, Hongxi Yao, Chuanlong Xu. An Improved Inversion Algorithm to Measure Particle Size Distribution[J]. Acta Optica Sinica, 2019, 39(2): 0212009
Category: Instrumentation, Measurement and Metrology
Received: Aug. 27, 2018
Accepted: Oct. 9, 2018
Published Online: May. 10, 2019
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