Particle size distribution measurement based on ultrasonic attenuation spectra using burst superposed wave

Jia, Nan; Su, Mingxu; Cai, Xiaoshu

doi:10.1016/j.rinp.2019.102273

Cited by 15 publications

(4 citation statements)

References 23 publications

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“…Equation 12 can be used to calculate the ultrasound attenuation coefficient theoretically, and it reveals the theoretical basis for particle size measurement by using the measured attenuation coefficient spectrum. The matrix form of Equation 12 is expressed by (Nan et al, (2019)) as:…”

Section: Particle Size Distribution (Psd) Measurementsmentioning

confidence: 99%

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Application of ultrasound techniques in Solid-Liquid fluidized bed

et al. 2022

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Section: Particle Size Distribution (Psd) Measurementsmentioning

confidence: 99%

“…Y., (2013) and of bubbles in bubbly flows (Aritomi et al, (2000)). Ultrasound has been used to analyse the particle size distribution in sample cells for solid concentrations up to 10% (Nan et al, (2019), Patricia and Derek, (2000)) and a range of particle sizes, up to 30 µm (Thao et al, (2016)).…”

Section: Introductionmentioning

confidence: 99%

Application of ultrasound techniques in Solid-Liquid fluidized bed

et al. 2022

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“…One of them is scattering due to the granular micro structure of the polycrystal. The resulting microstructural noise varies depending on the granulometric composition and the frequency of the ultrasonic waves used in [13]. A method for simulating this noise by means of geometrical modeling of the granular microstructure to determine its influence on the scattered ultrasonic signal is presented.…”

Section: Introductionmentioning

confidence: 99%

Use of backscattering ultrasound parameters for iron ore varieties recognition

Morkun,

Tron

et al. 2023

Nauk. visn. nat. hirn. univ.

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Purpose. Development of the method for recognizing the main mineral-technological varieties of iron ore in the deposits being developed by selecting an analytical model for the spectral characteristics of the received ultrasonic echo signals and quantitative assessment of their parameters. Methodology. The work uses methods for modeling the processes of propagation of ultrasonic waves in a randomly heterogeneous medium. The process of backscattering of ultrasound in mineral structures formed by inclusions of iron ore of various varieties and associated rock was considered. The estimated parameters of the spectral characteristics of the inversely scattered probing ultrasound pulse were studied. Findings. A method for recognizing the main mineral and technological varieties of iron ore of the deposit being developed, based on the parameters of the propagation of ultrasonic waves in the studied samples, was proposed. This is achieved by selecting an analytical model for the spectral characteristics of the received echo signals and quantifying their parameters. The amplitude of the echo signal and its spectral properties depends on the size and concentration of the scatterers, i.e., the structural and textural features of the iron ore sample under study. Taking into account these factors, the extracted parameters of the model were used to identify the main mineralogical and technological varieties of iron ore of the studied deposit. Originality. The proposed method for recognizing mineral-technological varieties of iron ore differs from the known ones in that the amplitude, central frequency, and bandwidth of the amplitude spectrum of the Gaussian parametric model of the measured echo signals are used as evaluation parameters. Practical value. The proposed scientific and technical solution allows for operational non-destructive control of the main mineralogical and technological types of iron ore in the process of its extraction and processing.

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“…Para que os sinais ecos de propagação do som no líquido não se sobreponham, a condição da Equação (4.1) deve ser satisfeita, onde tburst é tempo de duração combinada do pulso e do ring-down do transdutor. O tempo ring-down é o intervalo de inicialização da onda até o término completo das vibrações (JOSHI et al, 2019).…”

Section: Considerações De Projetounclassified

Desenvolvimento de um sistema computacional e experimental para caracterização de emulsões por meio da técnica de espectroscopia ultrassônica

Silva¹

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Agradeço a Deus por sempre guiar meus passos e proteger minha vida, pela força, ânimo e coragem para vencer cada desafio na busca por conhecimentos.Agradeço à minha família, meus pais Carlos e Júlia, meus irmãos Alexandre e Adriane, e minhas tias Elena e Marina, pelo amor incondicional e apoio em todos os momentos.Agradeço à minha namorada Franci por todo amor, carinho, dedicação e paciência independente da distância.Agradeço imensamente à minha orientadora, professora Ana Frattini, pela orientação, liderança, seu exemplo de dedicação, oportunidade de desenvolver este trabalho e suporte ao longo desses anos.Agradeço à professora Rosiane da Faculdade de Engenharia de Alimentos da Unicamp pela ajuda e por conceder acesso ao Laboratório de Engenharia de Processos, e à técnica de laboratório Vanessa, por contribuir com as análises de caracterização e preparação das amostras.

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Particle size distribution measurement based on ultrasonic attenuation spectra using burst superposed wave

Cited by 15 publications

References 23 publications

Application of ultrasound techniques in Solid-Liquid fluidized bed

Application of ultrasound techniques in Solid-Liquid fluidized bed

Use of backscattering ultrasound parameters for iron ore varieties recognition

Desenvolvimento de um sistema computacional e experimental para caracterização de emulsões por meio da técnica de espectroscopia ultrassônica

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