Composite pressure vessel analysis with Semi-Geodesic winding

Analysis of Composite pressure vessel with Semi-Geodesic winding

In this package, firstly, the method of winding in the production of the composite pressure vessel is introduced. Then, the equations of geodesic and semi-geodesic patterns along with parameter definitions with foul details are presented. Composite pressure vessel analysis is fully described here in this training package.
As you know the winding simulation is the most important issue because the angle and thickness are changed in a dome for different coordinated. One way to simulate CPV is to partition every dome section. Then, we should assign the calculated thickness and angle to the section. To achieve an accurate result, we should create a lot of partitions, especially in the end dome because the angle and thickness change instantaneously in this region. On the other hand, to find the optimum composite pressure vessels, we need to have a lot of simulations, and using the partition method is very time-consuming. So, we use python scripting to create geometry, assign calculated thickness and angle to every element and all required settings to model the CPV. So, we can simulate a lot of CPV with accurate results fast. It should be mentioned, in the semi-geodesic winding, we should consider friction between the mandrel and fiber and probably slippage between them. So, some singular equations should be solved to calculate the angle and thickness, and it could be done by adding some mathematical model in python. We can find out how to do that in this training package.
the following, different theories of failure are explained, and Puck failure theory is introduced and selected as the best criterion to identify the failure initiation. In the following, the equations of this criterion are extracted.
Finally, the composite pressure vessel with semi-geodesic winding patterns is simulated in Abaqus finite element software. In the simulation, programming in Python language is used for more accuracy in modeling the angle and thickness changes. In addition, the effect of the friction parameter between the mandrel and fibers during winding and the elliptical aspect ratio of the mandrel on the strength of the composite pressure vessel has been investigated, and semi-geodesic winding with optimal aspect ratio and friction has been selected as the best pressure reservoir. After that, the written subroutine to identify the failure initiation was verified according to Puck’s equations, and the failure of the optimal pressure tank was analyzed with this criterion. This training package includes UMAT subroutine with Fortran language to identify progressive Puck failure and Python scripting for automatic modeling.

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It would be helpful to see Abaqus Documentation to understand how it would be hard to start an Abaqus simulation without any Abaqus tutorial.

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