An agglomeration model: Influence of proximity of particles on agglomeration

Hyoungjoon Kwon; Jisang Yoon; Soonho Song; Seungwon Ko

doi:10.1007/s12206-019-1022-6

An agglomeration model: Influence of proximity of particles on agglomeration

Hyoungjoon Kwon, Jisang Yoon, Soonho Song, Seungwon Ko

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Aluminum is added to solid propellant to increase specific impulse of solid propellant, but tends to stick together and so agglomerate into large particle. Such an agglomeration has a detrimental effect on the propellant performance due to incomplete combustion. There are so many factors that cause agglomeration. In this study, we assume the distance between aluminum particles as one of the most important factors affecting agglomeration. Microstructure was reflected through 3D random packing and X-ray micro-CT scanning. And agglomeration model was developed to predict the sizes of agglomerates. As a result of applying the model to the random packing and Xray micro-CT data, the volume distributions of agglomerates was similar in most of the ranges.

Original language	English
Pages (from-to)	5303-5309
Number of pages	7
Journal	Journal of Mechanical Science and Technology
Volume	33
Issue number	11
DOIs	https://doi.org/10.1007/s12206-019-1022-6
Publication status	Published - 2019 Nov 1

Bibliographical note

Funding Information:
This work was supported by the Agency for Defense and Development, “A Study on Aluminum Agglomeration Model during Solid Propellant Combustion”, (Contract No. UD160064BD), Republic of Korea. x i x coordinate of sphere center y i y coordinate of sphere center z i z coordinate of sphere center r i Radius of sphere d Diameter of sphere N Total number of spheres D i,j Distance between spheres D set Minimum agglomeration distance MMD Mean mass diameter

Funding Information:
This work was supported by the Agency for Defense and Development, ?A Study on Aluminum Agglomeration Model during Solid Propellant Combustion?, (Contract No. UD160064BD), Republic of Korea.

Publisher Copyright:
© 2019, KSME & Springer.

All Science Journal Classification (ASJC) codes

Mechanics of Materials
Mechanical Engineering

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title = "An agglomeration model: Influence of proximity of particles on agglomeration",

abstract = "Aluminum is added to solid propellant to increase specific impulse of solid propellant, but tends to stick together and so agglomerate into large particle. Such an agglomeration has a detrimental effect on the propellant performance due to incomplete combustion. There are so many factors that cause agglomeration. In this study, we assume the distance between aluminum particles as one of the most important factors affecting agglomeration. Microstructure was reflected through 3D random packing and X-ray micro-CT scanning. And agglomeration model was developed to predict the sizes of agglomerates. As a result of applying the model to the random packing and Xray micro-CT data, the volume distributions of agglomerates was similar in most of the ranges.",

author = "Hyoungjoon Kwon and Jisang Yoon and Soonho Song and Seungwon Ko",

note = "Funding Information: This work was supported by the Agency for Defense and Development, “A Study on Aluminum Agglomeration Model during Solid Propellant Combustion”, (Contract No. UD160064BD), Republic of Korea. x i x coordinate of sphere center y i y coordinate of sphere center z i z coordinate of sphere center r i Radius of sphere d Diameter of sphere N Total number of spheres D i,j Distance between spheres D set Minimum agglomeration distance MMD Mean mass diameter Funding Information: This work was supported by the Agency for Defense and Development, ?A Study on Aluminum Agglomeration Model during Solid Propellant Combustion?, (Contract No. UD160064BD), Republic of Korea. Publisher Copyright: {\textcopyright} 2019, KSME & Springer.",

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doi = "10.1007/s12206-019-1022-6",

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AU - Song, Soonho

AU - Ko, Seungwon

N1 - Funding Information: This work was supported by the Agency for Defense and Development, “A Study on Aluminum Agglomeration Model during Solid Propellant Combustion”, (Contract No. UD160064BD), Republic of Korea. x i x coordinate of sphere center y i y coordinate of sphere center z i z coordinate of sphere center r i Radius of sphere d Diameter of sphere N Total number of spheres D i,j Distance between spheres D set Minimum agglomeration distance MMD Mean mass diameter Funding Information: This work was supported by the Agency for Defense and Development, ?A Study on Aluminum Agglomeration Model during Solid Propellant Combustion?, (Contract No. UD160064BD), Republic of Korea. Publisher Copyright: © 2019, KSME & Springer.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Aluminum is added to solid propellant to increase specific impulse of solid propellant, but tends to stick together and so agglomerate into large particle. Such an agglomeration has a detrimental effect on the propellant performance due to incomplete combustion. There are so many factors that cause agglomeration. In this study, we assume the distance between aluminum particles as one of the most important factors affecting agglomeration. Microstructure was reflected through 3D random packing and X-ray micro-CT scanning. And agglomeration model was developed to predict the sizes of agglomerates. As a result of applying the model to the random packing and Xray micro-CT data, the volume distributions of agglomerates was similar in most of the ranges.

AB - Aluminum is added to solid propellant to increase specific impulse of solid propellant, but tends to stick together and so agglomerate into large particle. Such an agglomeration has a detrimental effect on the propellant performance due to incomplete combustion. There are so many factors that cause agglomeration. In this study, we assume the distance between aluminum particles as one of the most important factors affecting agglomeration. Microstructure was reflected through 3D random packing and X-ray micro-CT scanning. And agglomeration model was developed to predict the sizes of agglomerates. As a result of applying the model to the random packing and Xray micro-CT data, the volume distributions of agglomerates was similar in most of the ranges.

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An agglomeration model: Influence of proximity of particles on agglomeration

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