Diseño de Recipientes a Presión Toroidal para Trenes a Hidrógeno

Abstract

One of the main objectives in the design of HSS (Hydrogen Storage Systems) containers for trains is to be able to store hydrogen as a compressed gas at a pressure of 70MPa and to consider the stresses and fatigue cycles due to loading and unloading (type IV tanks). ); In addition, failure analysis by means of finite elements for the generation of toroidal models will be included in the study. Given that another aspect of the design is to be able to rationalize the price of HSS tanks, by optimizing the geometry and thickness of CFRP (Carbon Fiber Reinforced Polymer), which generally represents 50% of the total price, and which It can be done through one of Ansys' own optimization methods that provides a reliable result at a high computational cost for each new container pattern that is modelled; Through the use of artificial intelligence techniques, a model will be created that has the capacity to learn from the characteristics of each new container model, but at a low computational cost and with a high level of reliability; the prediction methodology will be based on a regression and classification model through supervised learning and deep learning techniques through the use of artificial neural networks implemented on Keras, reliable results will be obtained that will speed up virtual tests in the design of a resistant container, light and with a high storage capacity. &nbsp