2022
DOI: 10.1016/j.jnnfm.2022.104880
|View full text |Cite
|
Sign up to set email alerts
|

On the validity of Squire’s theorem for viscoelastic fluid flows

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(7 citation statements)
references
References 29 publications
1
6
0
Order By: Relevance
“…As presented in Furlan et al, 27 it is impossible to predict the behavior of three-dimensional disturbances by considering Squire's theorem for the Giesekus model. Therefore, it is necessary to perform a separate analysis for three-dimensional disturbances.…”
Section: B Three-dimensional Disturbance Analysismentioning
confidence: 99%
See 3 more Smart Citations
“…As presented in Furlan et al, 27 it is impossible to predict the behavior of three-dimensional disturbances by considering Squire's theorem for the Giesekus model. Therefore, it is necessary to perform a separate analysis for three-dimensional disturbances.…”
Section: B Three-dimensional Disturbance Analysismentioning
confidence: 99%
“…[21][22][23][24][25][26] Even today, studies in parallel flows have not been widely developed, and some questions still need to be answered, especially in viscoelastic fluid stability. Furlan et al 27 presented theoretical results regarding the influence of the molecular composition of viscoelastic fluids and its relation to the stability of these fluids. Viscoelastic models with anisotropic terms, such as Giesekus, LPTT, and FENE-type models, do not satisfy Squire's theorem.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Hence, the need arises to perform stability analysis for three-dimensional flows for these viscoelastic models, as the two-dimensional analysis does not guarantee that three-dimensional disturbances are more stable, as stated in Squire's theorem. This chapter was published in Furlan et al (2022).…”
Section: Lptt Modelmentioning
confidence: 99%