Size-distribution estimation in process fluids by ultrasound for particle sizes in the wavelength range

Li, Bo; Dougherty, Edward R.

doi:10.1117/12.145389

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…Relationships between the acoustic properties of materials and the size of the particles that they contain were established over a century ago by Lord Rayleigh. Nevertheless, it is only recently that the possibility of determining droplet size distributions using ultrasound has become practically feasible. − This is mainly due to advances in microelectronics which have led to the development of low-cost instrumentation for carrying out measurements and computers to analyze the resulting data. Indeed, a number of instrument manufacturers are currently working on, or have recently developed, particle-sizing techniques based on ultrasonic spectrometry.…”

Section: Introductionmentioning

confidence: 99%

Principles of Ultrasonic Droplet Size Determination in Emulsions

1996

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Instruments based on ultrasonic spectrometry are becoming increasingly popular for determining the droplet size distribution of emulsions. They have major advantages over alternative technologies because they are capable of analyzing emulsions which are concentrated and optically opaque, without disturbing the sample. This article reviews the physical principles of ultrasonic particle sizing, the experimental methods commonly used to make ultrasonic measurements, and the mathematical equations used to convert ultrasonic measurements to droplet size distributions. Ultrasonic spectrometry is compared to other particle-sizing techniques so that colloid scientists can decide whether it is suitable for their particular application.

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Section: Introductionmentioning

confidence: 99%

Principles of Ultrasonic Droplet Size Determination in Emulsions

1996

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Foundations of Morphological Image Processing

Dougherty

2002

Encyclopedia of Imaging Science and Technology

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The basic morphological operations of erosion, dilation, opening, and closing are a part of every image processing toolbox. So too are many basic algorithms such as the watershed and top‐hat transforms. This article reviews the fundamental algebraic theory of mathematical morphology as applied to Euclidean set theory, the context in which it was originally conceived by Matheron and Serra from mathematical operations dating back to Minkowski and Hadwiger. Thorough knowledge of basic algebraic theory is required for anyone engaged in serious research in morphological image processing and is very beneficial for anyone interested in advanced applications. Since its original set‐theoretic formulation, mathematical morphology has been extended to real‐valued functions and to lattice‐valued functions. These extensions take note of the fact that the operations and propositions of the algebraic theory depend on order relations. This can be seen in the direct generalization of many binary definitions and properties to lattices based on the partial order relation among sets. In many cases, the definitions in this article are extended to lattices (including real‐valued and integral‐valued functions) by changing the subset relation ⊂ to the order relationship ≤. This article restricts attention to binary morphology.

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Ultrasonic Characterization of Food Colloids

Dickinson¹,

McClements²

1996

Advances in Food Colloids

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Size-distribution estimation in process fluids by ultrasound for particle sizes in the wavelength range

Cited by 7 publications

References 4 publications

Principles of Ultrasonic Droplet Size Determination in Emulsions

Principles of Ultrasonic Droplet Size Determination in Emulsions

Foundations of Morphological Image Processing

Ultrasonic Characterization of Food Colloids

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