Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process

In this work, we investigated the porosity distribution and separation property of the porous crystal layer formed via the polythermal process. The proposed porosity distribution model, considering both the cooling profile and the crystal settling effect, provided simulative results that met the MRI...

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Autores principales:	Yingshuang Meng, Zhonghua Li, Xiangcun Li, Wu Xiao, Gaohong He, Xuemei Wu, Xiaobin Jiang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	crystallization mathematical modeling porous media simulation process separation techniques Crystallography QD901-999
Acceso en línea:	https://doaj.org/article/b5ba798865f64128b6892349759f7130
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spelling	oai:doaj.org-article:b5ba798865f64128b6892349759f71302021-11-25T17:18:35ZPorosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process10.3390/cryst111113472073-4352https://doaj.org/article/b5ba798865f64128b6892349759f71302021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4352/11/11/1347https://doaj.org/toc/2073-4352In this work, we investigated the porosity distribution and separation property of the porous crystal layer formed via the polythermal process. The proposed porosity distribution model, considering both the cooling profile and the crystal settling effect, provided simulative results that met the MRI analysis experimental results with suitable agreement. Significant porosity variation from the top to the bottom of the crystal layer (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϕ</mi></semantics></math></inline-formula> from 0.75 to 0.55 under rapid cooling profile) was detected. Meanwhile, the vertical supersaturation degree gradient induced by the fluid fluctuation could impact nucleation and crystal growth kinetic along with crystal particle settling. The resulting crystal layer possessed various impurity inclusion conditions. Under a moderate cooling profile (0.4 K·min<sup>−1</sup>), the volume fraction of closed pores against overall pores decreased from 0.75 to 0.36. The proposed model and experimental analysis approach were demonstrated to be helpful for porosity distribution simulation and impure inclusion analysis of layer crystallization.Yingshuang MengZhonghua LiXiangcun LiWu XiaoGaohong HeXuemei WuXiaobin JiangMDPI AGarticlecrystallizationmathematical modelingporous mediasimulation processseparation techniquesCrystallographyQD901-999ENCrystals, Vol 11, Iss 1347, p 1347 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	crystallization mathematical modeling porous media simulation process separation techniques Crystallography QD901-999
spellingShingle	crystallization mathematical modeling porous media simulation process separation techniques Crystallography QD901-999 Yingshuang Meng Zhonghua Li Xiangcun Li Wu Xiao Gaohong He Xuemei Wu Xiaobin Jiang Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process
description	In this work, we investigated the porosity distribution and separation property of the porous crystal layer formed via the polythermal process. The proposed porosity distribution model, considering both the cooling profile and the crystal settling effect, provided simulative results that met the MRI analysis experimental results with suitable agreement. Significant porosity variation from the top to the bottom of the crystal layer (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϕ</mi></semantics></math></inline-formula> from 0.75 to 0.55 under rapid cooling profile) was detected. Meanwhile, the vertical supersaturation degree gradient induced by the fluid fluctuation could impact nucleation and crystal growth kinetic along with crystal particle settling. The resulting crystal layer possessed various impurity inclusion conditions. Under a moderate cooling profile (0.4 K·min<sup>−1</sup>), the volume fraction of closed pores against overall pores decreased from 0.75 to 0.36. The proposed model and experimental analysis approach were demonstrated to be helpful for porosity distribution simulation and impure inclusion analysis of layer crystallization.
format	article
author	Yingshuang Meng Zhonghua Li Xiangcun Li Wu Xiao Gaohong He Xuemei Wu Xiaobin Jiang
author_facet	Yingshuang Meng Zhonghua Li Xiangcun Li Wu Xiao Gaohong He Xuemei Wu Xiaobin Jiang
author_sort	Yingshuang Meng
title	Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process
title_short	Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process
title_full	Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process
title_fullStr	Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process
title_full_unstemmed	Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process
title_sort	porosity distribution simulation and impure inclusion analysis of porous crystal layer formed via polythermal process
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b5ba798865f64128b6892349759f7130
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_version_	1718412553810345984

Porosity Distribution Simulation and Impure Inclusion Analysis of Porous Crystal Layer Formed via Polythermal Process

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