Optimization of Type 4 composite pressure vessels using genetic algorithms and simulated annealing. (15th June 2017)

• Record Type: Journal Article
• Authors: Alcántar, V.; Aceves, S.M.; Ledesma, E.; Ledesma, S.; Aguilera, E.
• Is Part Of: International journal of hydrogen energy. Volume 42:Number 24(2017)
• Page Start: 15770
• Page End: 15781
• Publication Date: 2017-06-15
• Subjects: Type 4 vessel -- Optimization -- Genetic algorithm -- Simulated annealing; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2017.03.032
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: We propose and demonstrate two methodologies for weight minimization of Type 4 (plastic lined, fiber wrapped) compressed hydrogen pressure vessels: genetic algorithms and simulated annealing. We consider 70 MPa vessels with a safety factor of 2.25, and analyze the vessels with classical laminate theory. We propose an objective function based on Tsai-Wu criterion, composite thickness, a safety factor, and a penalization factor. The optimum results are analyzed and compared by a high resolution finite element model. Computer simulations show that the proposed methodology produces more efficient designs by reducing the weight by up to 9.8% and 11.2% when compared to previously published vessel optimization research. Highlights: We propose two methodologies for weight minimization of Type 4 compressed hydrogen pressure vessels: GA and SA. We consider 70 MPa vessels with a safety factor of 2.25, and analyze the vessels with classical laminate theory. We propose an objective function based on Tsai-Wu criterion, composite thickness, a safety factor, and a penalization factor. The optimum results are analyzed and compared by a high resolution finite element model. Computer analysis show that the proposed methodology produces more efficient designs by reducing the weight by up to 11.2%.