Indetermination of particle sizing by laser diffraction in the anomalous size ranges

Pan, Linchao; Ge, Baozhen; Zhang, Fugen

doi:10.1016/j.jqsrt.2017.05.022

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Laser Diffraction is a well-known static light scattering technique which grounds on Mie scattering theory [5]. It associates the scattered laser light intensity recorded in an angular range with the size distribution of a particle ensemble [6]. Thus, it requires a complex optical arrangement around the specially designed and built-in measurement cell.…”

Section: Introductionmentioning

confidence: 99%

Light extinction spectroscopy applied to polystyrene colloids: Sensitivity to complex refractive index uncertainties and to noise

Eneren

Aksoy

Zhu

et al. 2021

Journal of Quantitative Spectroscopy and Radiative Transfer

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The measurement of particle size distribution (PSD) in nanofluids presents a challenge, especially when it requires to be conducted in-situ and real-time.Our work aims to enhance the capabilities of Light Extinction Spectroscopy (LES) technique for concentration and volumetric PSD (vPSD) determination of nanofluids. To reach this goal, numerical simulations are performed to verify robustness of LES data inversion algorithm and to identify the most relevant uncertainty sources. Via sensitivity analyses, we inspect the LES sensitivity 1) to complex refractive index spectra of the particle, 2) to system noise level.Since inherited noise has adverse effects on inversion stability, we characterize the system noise profile and embed it into numerical simulations. Before processing LES data, we check optical thickness and signal-to-noise ratio (SNR) profiles to adjust sample concentration. Besides, we limit wavelength spectrum to shorter wavelengths (202-484 nm), though it can be extended to UV-NIR.The experiments are carried out on well-dispersed water based nanofluids containing Polystyrene particles with median diameters of 120 and 300 nm. The results are compared with supplier's data, 3D-DLS measurements, and SEM images. After post-processing, we realize that LES results can still be greatly improved with an optimization algorithm on particle complex refractive indices.

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Section: Introductionmentioning

confidence: 99%

Light extinction spectroscopy applied to polystyrene colloids: Sensitivity to complex refractive index uncertainties and to noise

Eneren

Aksoy

Zhu

et al. 2021

Journal of Quantitative Spectroscopy and Radiative Transfer

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show abstract

“…The basic principle of sedimentation method is to use particle sedimentation velocity to divide particle distribution [11]. With the development of analytical technology, laser particle analyzer has been developed and widely used [12], [13]. The analysis speed and measurement range have been improved greatly, but it still needs tedious and laborious pretreatment.…”

Section: Introductionmentioning

confidence: 99%

Study on Characteristic Spectrum and Multiple Classifier Fusion With Different Particle Size in Marine Sediments

Fan

2020

IEEE Access

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Marine sediments record much information of the ecological process, which highly correlated with global and local environmental change. Particle size and its distributions of sediments indicate different ecological functions, thus are the key questions in marine ecology. The analysis method is tedious and laborious, which is not conducive for in-situ monitoring. Here, a spectral analysis was explored using surface sediments sampled in the intertidal zone of Dongdayang village, Qingdao, China. These samples were dried and sieved to pass through the mesh size of 0.3 mm, 0.2 mm, 0.1 mm, and 0.075 mm, respectively. Then, four types of subsamples were collected with the particle size of 0.3-0.2 mm, 0.2-0.1 mm, 0.1-0.075 mm, and < 0.075 mm, respectively. The visible and near infrared reflectance spectra (226-975nm) of these subsamples with different particle size were measured. Results showed that there was a negative correlation between the spectral reflectance and the particle size. And the characteristic spectra for particle size classification were 926-975nm. These particle size were classified by the support vector machine algorithm. The classification accuracy for the calibration set and validation set was 100% and 89.06%, respectively. Furthermore, the fusion classifier was compared with the single classifier. Three spectral bands were selected as the single particle size classifier, that is 226-325nm, 826-925nm and 226-975nm. These three single classifiers were fused by voting method, forming multiple classifier fusion. A fusion classifier was recommended whose validation set had the classification accuracy of 93.75%, better than any single classifier. Multiple classifier fusion is a good tool for searching the characteristic spectra of the chemical and physical parameter in sediments. This method provides a solution for the division of particle size in sediment.

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The use of 3D prints to assess the influence of shape on particle size distribution in the laser diffraction method

et al. 2022

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Indetermination of particle sizing by laser diffraction in the anomalous size ranges

Cited by 4 publications

References 7 publications

Light extinction spectroscopy applied to polystyrene colloids: Sensitivity to complex refractive index uncertainties and to noise

Light extinction spectroscopy applied to polystyrene colloids: Sensitivity to complex refractive index uncertainties and to noise

Study on Characteristic Spectrum and Multiple Classifier Fusion With Different Particle Size in Marine Sediments

The use of 3D prints to assess the influence of shape on particle size distribution in the laser diffraction method

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