Reference : Optimum Autofrettage Pressure of Hydrogen Valve Using Finite Element and Fatigue Analysis
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
Sustainable Development
http://hdl.handle.net/10993/42453
Optimum Autofrettage Pressure of Hydrogen Valve Using Finite Element and Fatigue Analysis
English
Kedziora, Slawomir mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Cao, Thanh Binh [> >]
13-Jan-2020
Engineering
12
01
1--24
Yes
International
1947-3931
[en] Autofrettage ; Design ; Fatigue ; Finite Element Analysis ; Hydrogen Valve
[en] The presented article shows an estimation method of optimum autofrettage pressure taking into consideration subsequent cyclic loading. An autofrettage process is used in pressure vessel applications for strength improvement. The process relies on applying massive pressure that causes internal portions of the part to yield plastically, resulting in internal compressive residual stresses when pressure is released. Later applied working pressure (much lower than autofrettage pressure) creates stress reduced by the residual compressive stress improving the structural performance of the pressure vessels. The optimum autofrettage pressure is a load that maximizes the fatigue life of the structure at the working load. The estimation method of that pressure of a hydrogen valve is the subject of the presented work. Finite element and fatigue analyses were employed to investigate the presented problem. An automated model was developed to analyze the design for various autofrettage pressures. As the results of the procedure, the optimum autofrettage pressure is determined. The research has shown that the developed method can profitably investigate the complex parts giving the autofrettage load that maximizes the fatigue life. The findings suggest that the technique can be applied to a large group of products subjected to the autofrettage process.
Researchers ; Professionals
http://hdl.handle.net/10993/42453
10.4236/eng.2020.121001
https://www.scirp.org/journal/doi.aspx?doi=10.4236/eng.2020.121001

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