scholarly journals Proposal of New Iterative Algorithm to Solve Linear Inverse Problem for Static Light Scattering Particle Size Distribution Measurement

2018 ◽  
Vol 55 (12) ◽  
pp. 631-637
Author(s):  
Hirosuke Sugasawa ◽  
Hideto Yoshida
Keyword(s):  
Inverse Problem ◽  
Particle Size ◽  
Light Scattering ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Iterative Algorithm ◽  
Static Light Scattering ◽  
Linear Inverse Problem ◽  
Distribution Measurement ◽  
Particle Size Distribution Measurement

Application of artificial bee colony algorithm for particle size distribution measurement of suspended sediment based on focused ultrasonic sensor

2021 ◽  
pp. 014233122198911
Author(s):  
Yeming Li ◽  
Yidan Xia ◽  
Dailiang Xie ◽  
Ya Xu ◽  
Zhipeng Xu ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Suspended Sediment ◽  
Artificial Bee Colony ◽  
Ultrasonic Sensor ◽  
Inversion Algorithm ◽  
Distribution Measurement ◽  
Bee Colony ◽  
Particle Size Distribution Measurement

A new focused ultrasonic sensor is proposed, based on which the measurement system for particle size distribution measurement of suspended sediment is established. Compared with the traditional ultrasonic sensors, the one used in this paper is equipped with piezoelectric transducer (PZT) on an arc-shaped shell, to concentrate ultrasonic beams on one measurement point. The sensor is used to measure the particle size distribution of suspended sediment. The experiments were carried out on water-sediment mixtures with different particle size distribution. Due to multiple parameters and non-linearity of the ultrasonic attenuation model, the artificial bee colony (ABC) inversion algorithm is used to estimate particle size distribution, thus improving measurement accuracy. The particle sizes obtained by sieving method are seen as reference values. The results indicate that whether the suspended particles are subject to a unimodal distribution, uniform distribution or random distribution, the particle size distribution obtained by ABC inversion algorithm is consistent with the result obtained by the sieve method. The results demonstrate that the method has good utility and accuracy within the low concentration range.

Particle Size Distribution Measurement of Free-Falling Fine Particles in a Dusty Plasma Experiment

2001 ◽  
Vol 40 (Part 1, No. 5A) ◽  
pp. 3433-3434
Author(s):  
Nobuki Kawashima ◽  
Kazuya Takeda ◽  
Takeharu Etoh ◽  
Kousei Takehara ◽  
Haruya Kubo ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Dusty Plasma ◽  
Fine Particles ◽  
Distribution Measurement ◽  
Plasma Experiment ◽  
Particle Size Distribution Measurement ◽  
Free Falling
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