The feasibility of a pressure vessel shape optimization is here investigated. An analytical procedure based on calculus of variations is used for the shape optimization of a naturally closed pressure vessel aiming at either minimizing the mass or maximizing the volume under structural integrity constraints. The obtained shapes are ellipsoids with variable thickness along the meridian. Such geometry is suitable to be manufactured by means of advanced processes such as additive techniques. A metallic technology demonstrator was successfully produced by using a 3D printing facility. Optical scanner measurements proved that the process was able to fulfil the required geometry with technically acceptable manufacturing tolerances. Finally, a Finite Element analysis was performed on the measured geometry, confirming that the stress distribution fits well with the theoretical expectations and fully satisfies the optimization constraints.

An optimized pressure vessel obtained by metal additive manufacturing: Preliminary results

Hassan Mohamed Abdelalim Abdalla;Daniele Casagrande;Francesco De Bona
;
Marco Sortino;Giovanni Totis
2021-01-01

Abstract

The feasibility of a pressure vessel shape optimization is here investigated. An analytical procedure based on calculus of variations is used for the shape optimization of a naturally closed pressure vessel aiming at either minimizing the mass or maximizing the volume under structural integrity constraints. The obtained shapes are ellipsoids with variable thickness along the meridian. Such geometry is suitable to be manufactured by means of advanced processes such as additive techniques. A metallic technology demonstrator was successfully produced by using a 3D printing facility. Optical scanner measurements proved that the process was able to fulfil the required geometry with technically acceptable manufacturing tolerances. Finally, a Finite Element analysis was performed on the measured geometry, confirming that the stress distribution fits well with the theoretical expectations and fully satisfies the optimization constraints.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1205704
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