Abstract

The methodology for calculating pressure vessels made of composites is included at the Secion X of the ASME Code. These vessels are more common in aerospatial engineering, or in medical gas industry, but lately are being introduced in automotive, naval, energy and petrochemical industries. The development of a software tool to calculate pressure vessels according to ASME Code sec. X is proposed. Technically, the goal is to develop a software tool to aid in and speed up the process of designing pressure vessels according to the ASME Code Sec. X. With this software, and considering the entered data (diametres, lengths, design pressures, design temperatures, etc…), dimensions and final laminates of a pressure vessel can be obtained in order not to surpass the failure criteria for the considered composite.

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.

Abstract

The present paper aims at deriving closed-form expressions for the optimum winding angles of fibres in laminated cylindrical pressure vessels subjected to internal pressure, axial load and torque. To achieve this goal, the state of the stress on the surface of the vessel is represented by a composite layered element subjected to general in-plane loading. The symbolic software Mathematica is used to formulate, solve the optimization problem and to generate the data of optimum fibre angles for different loading combinations. The generated data is fitted with simple polynomial expressions capable of accurately predicting the optimum winding angles. The optimization is performed for three candidate composite materials: carbon/epoxy, glass/epoxy, and aramid/epoxy laminates.