2022
DOI: 10.3390/ma15134659
|View full text |Cite
|
Sign up to set email alerts
|

Calculation Model of Mechanical and Sealing Properties of NiTi Alloy Corrugated Gaskets under Shape Memory Effect and Hyperelastic Coupling: Two Sealing Properties

Abstract: Bolted flange connections are commonly used in process industries. Their sealing performance is greatly affected by the gasket. In this paper, a NiTi alloy corrugated gasket was simulated to reveal its sealing performance, considering the gasket surface roughness, shape memory effect and superelastic effect. A fluid–structure coupling analysis method that takes the real surface morphology of the gasket contact zone was proposed, and a leakage rate prediction model was established. The results showed that NiTi … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…When SMAs are subjected to external force, a stress-induced martensite transformation occurs, and the macroscopic transformation is the deformation of the alloy. Martensite reverse transformation is activated when the temperature rises to A s , and the alloy can almost completely recover to its original shape when the temperature reaches above A f [15][16][17][18]. The SME is reflected in this process, as shown by the red curve in Figure 1.…”
Section: Introductionmentioning
confidence: 96%
“…When SMAs are subjected to external force, a stress-induced martensite transformation occurs, and the macroscopic transformation is the deformation of the alloy. Martensite reverse transformation is activated when the temperature rises to A s , and the alloy can almost completely recover to its original shape when the temperature reaches above A f [15][16][17][18]. The SME is reflected in this process, as shown by the red curve in Figure 1.…”
Section: Introductionmentioning
confidence: 96%