Numerical simulations of sintering coupled with moisture transfer.
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| Title: | Numerical simulations of sintering coupled with moisture transfer. |
|---|---|
| Authors: | Rando, P.1 (AUTHOR) p.rando@surrey.ac.uk, Engmann, J.2 (AUTHOR), Watzke, B.1,2 (AUTHOR), Forny, L.3 (AUTHOR), Meunier, V.2 (AUTHOR), Ramaioli, M.1 (AUTHOR) |
| Source: | Powder Technology. Jan2022, Vol. 395, p93-102. 10p. |
| Subjects: | Sintering, Moisture, Pharmaceutical powders, Navier-Stokes equations, Computer simulation |
| Abstract: | [Display omitted] · This novel approach can simulate particle sintering coupled to moisture transfer. · Strong viscosity gradients can exist as a result of the moisture transfer. · FEM simulations predict a slower sintering compared to simplified analytical models. · The particle size affects strongly both the sintering and moisture transfer dynamics. · Particles can be considered homogeneous when sufficiently small. In many applications, amorphous particles bond together through a phenomenon known as sintering to minimize their surface energy. Water is a plasticizer for many food and pharmaceutical powders and the strong reduction in viscosity induced by moisture absorption can accelerate strongly particle sintering [1]. Numerical simulations of particle sintering usually neglect the coupling with moisture transfer, considering a uniform viscosity throughout the particle. In this study, a novel approach based on solving Navier-Stokes equation using an Arbitrary Lagrangian-Eulerian (ALE) approach is proposed to model the dynamics of particle sintering coupled with moisture transfer. Maltodextrin DE21 is considered as an industrially relevant example of amorphous particles. Due to moisture uptake, strong gradients of viscosity can exist in the particles undergoing sintering. FEM simulations consider accurately the forces acting on the contact area between the particles, leading to slower dynamics than commonly used approximate analytical models. This study highlights that FEM simulations considering a homogeneous moisture and viscosity within the particles are in many cases sufficiently accurate and identifies the limits of validity of this assumption. In the conditions considered in this study, the intraparticle gradients were found to condition significantly the sintering dynamics only when particle diameter is above 1.5 mm. The particle size affects strongly both the dynamics of sintering and of moisture transfer. Moreover, higher external relative humidity leads to a lower viscosity and a faster sintering kinetics. The initial water content was found to have a lower impact in the conditions studied. This coupled simulation approach can be used to identify conditions reducing the risk of caking during the storage of amorphous powders or to master sintering during powder structuration processes. Furthermore this study helps identifying when simpler simulation approaches considering homogeneous particles can be safely used and shows the limitations of simplified analytical models. [ABSTRACT FROM AUTHOR] |
| Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 153597936 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Numerical simulations of sintering coupled with moisture transfer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rando%2C+P%2E%22">Rando, P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> p.rando@surrey.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Engmann%2C+J%2E%22">Engmann, J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Watzke%2C+B%2E%22">Watzke, B.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Forny%2C+L%2E%22">Forny, L.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meunier%2C+V%2E%22">Meunier, V.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ramaioli%2C+M%2E%22">Ramaioli, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Powder+Technology%22">Powder Technology</searchLink>. Jan2022, Vol. 395, p93-102. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sintering%22">Sintering</searchLink><br /><searchLink fieldCode="DE" term="%22Moisture%22">Moisture</searchLink><br /><searchLink fieldCode="DE" term="%22Pharmaceutical+powders%22">Pharmaceutical powders</searchLink><br /><searchLink fieldCode="DE" term="%22Navier-Stokes+equations%22">Navier-Stokes equations</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: [Display omitted] · This novel approach can simulate particle sintering coupled to moisture transfer. · Strong viscosity gradients can exist as a result of the moisture transfer. · FEM simulations predict a slower sintering compared to simplified analytical models. · The particle size affects strongly both the sintering and moisture transfer dynamics. · Particles can be considered homogeneous when sufficiently small. In many applications, amorphous particles bond together through a phenomenon known as sintering to minimize their surface energy. Water is a plasticizer for many food and pharmaceutical powders and the strong reduction in viscosity induced by moisture absorption can accelerate strongly particle sintering [1]. Numerical simulations of particle sintering usually neglect the coupling with moisture transfer, considering a uniform viscosity throughout the particle. In this study, a novel approach based on solving Navier-Stokes equation using an Arbitrary Lagrangian-Eulerian (ALE) approach is proposed to model the dynamics of particle sintering coupled with moisture transfer. Maltodextrin DE21 is considered as an industrially relevant example of amorphous particles. Due to moisture uptake, strong gradients of viscosity can exist in the particles undergoing sintering. FEM simulations consider accurately the forces acting on the contact area between the particles, leading to slower dynamics than commonly used approximate analytical models. This study highlights that FEM simulations considering a homogeneous moisture and viscosity within the particles are in many cases sufficiently accurate and identifies the limits of validity of this assumption. In the conditions considered in this study, the intraparticle gradients were found to condition significantly the sintering dynamics only when particle diameter is above 1.5 mm. The particle size affects strongly both the dynamics of sintering and of moisture transfer. Moreover, higher external relative humidity leads to a lower viscosity and a faster sintering kinetics. The initial water content was found to have a lower impact in the conditions studied. This coupled simulation approach can be used to identify conditions reducing the risk of caking during the storage of amorphous powders or to master sintering during powder structuration processes. Furthermore this study helps identifying when simpler simulation approaches considering homogeneous particles can be safely used and shows the limitations of simplified analytical models. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.powtec.2021.09.007 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 93 Subjects: – SubjectFull: Sintering Type: general – SubjectFull: Moisture Type: general – SubjectFull: Pharmaceutical powders Type: general – SubjectFull: Navier-Stokes equations Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: Numerical simulations of sintering coupled with moisture transfer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rando, P. – PersonEntity: Name: NameFull: Engmann, J. – PersonEntity: Name: NameFull: Watzke, B. – PersonEntity: Name: NameFull: Forny, L. – PersonEntity: Name: NameFull: Meunier, V. – PersonEntity: Name: NameFull: Ramaioli, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00325910 Numbering: – Type: volume Value: 395 Titles: – TitleFull: Powder Technology Type: main |
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