Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles

To determine the relationship between the deposition characteristics of semi-molten particles and the porosity of porous materials prepared by flame spraying, metal powders of Mo and 316L were used and the melting degree of deposition particles was controlled. Based on the experimental observations,...

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Autores principales:	Jian-Tao Yao, Hui Dong, Li-Shuang Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	flame spraying melting degree porosity random stacking simulation Mining engineering. Metallurgy TN1-997
Acceso en línea:	https://doaj.org/article/edd3344efa00484eb847fbfd94b7c59d
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id	oai:doaj.org-article:edd3344efa00484eb847fbfd94b7c59d
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spelling	oai:doaj.org-article:edd3344efa00484eb847fbfd94b7c59d2021-11-25T18:21:20ZPorosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles10.3390/met111117022075-4701https://doaj.org/article/edd3344efa00484eb847fbfd94b7c59d2021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4701/11/11/1702https://doaj.org/toc/2075-4701To determine the relationship between the deposition characteristics of semi-molten particles and the porosity of porous materials prepared by flame spraying, metal powders of Mo and 316L were used and the melting degree of deposition particles was controlled. Based on the experimental observations, a three-dimensional, random-stacking model was established by introducing the slipping characteristics of semi-molten particles, which could help predict the porosity of the generated porous metal materials. The results show that the maximum porosity of porous materials deposited by semi-molten particles was about 82%. A one-to-one relationship was observed between the melting degree of particles and the porosity of deposited samples. The three-dimensional random model could successfully predict the porosity of porous materials by combining the melting degree and slipping characteristics of spray particles, and the predicted values were consistent with the experimental results. The results of this study are useful to control the pore structure of porous materials deposited by semi-molten spraying particles.Jian-Tao YaoHui DongLi-Shuang WangMDPI AGarticleflame sprayingmelting degreeporosityrandom stackingsimulationMining engineering. MetallurgyTN1-997ENMetals, Vol 11, Iss 1702, p 1702 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	flame spraying melting degree porosity random stacking simulation Mining engineering. Metallurgy TN1-997
spellingShingle	flame spraying melting degree porosity random stacking simulation Mining engineering. Metallurgy TN1-997 Jian-Tao Yao Hui Dong Li-Shuang Wang Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles
description	To determine the relationship between the deposition characteristics of semi-molten particles and the porosity of porous materials prepared by flame spraying, metal powders of Mo and 316L were used and the melting degree of deposition particles was controlled. Based on the experimental observations, a three-dimensional, random-stacking model was established by introducing the slipping characteristics of semi-molten particles, which could help predict the porosity of the generated porous metal materials. The results show that the maximum porosity of porous materials deposited by semi-molten particles was about 82%. A one-to-one relationship was observed between the melting degree of particles and the porosity of deposited samples. The three-dimensional random model could successfully predict the porosity of porous materials by combining the melting degree and slipping characteristics of spray particles, and the predicted values were consistent with the experimental results. The results of this study are useful to control the pore structure of porous materials deposited by semi-molten spraying particles.
format	article
author	Jian-Tao Yao Hui Dong Li-Shuang Wang
author_facet	Jian-Tao Yao Hui Dong Li-Shuang Wang
author_sort	Jian-Tao Yao
title	Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles
title_short	Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles
title_full	Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles
title_fullStr	Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles
title_full_unstemmed	Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles
title_sort	porosity prediction of porous materials deposited by semi-molten spraying particles
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/edd3344efa00484eb847fbfd94b7c59d
work_keys_str_mv	AT jiantaoyao porositypredictionofporousmaterialsdepositedbysemimoltensprayingparticles AT huidong porositypredictionofporousmaterialsdepositedbysemimoltensprayingparticles AT lishuangwang porositypredictionofporousmaterialsdepositedbysemimoltensprayingparticles
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Porosity Prediction of Porous Materials Deposited by Semi-Molten Spraying Particles

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