Probabilistic Multidisciplinary Design Optimization on a high-pressure sandwich wall in a rocket engine application

• Main Author: Wahlström, Dennis
• Format: Others
• Language: English
• Published: Umeå universitet, Institutionen för fysik 2017
• Subjects: Multidisciplinary Design Optimization; Analytical Target Cascading; Multidisciplinary Feasible; Space Nozzle; Ariane; Expander Cycle Engine; Upper stage space rocket engine; Probabilistic; Augmented Lagrangian relaxation; Finite element; Solid Mechanics; Thermodynamics; Aerodynamics; Industrial approach; Latin Hypercube Sampling; Factorial Analysis; Analysis of Variance; Other Physics Topics; Annan fysik; Aerospace Engineering; Rymd- och flygteknik; Probability Theory and Statistics; Sannolikhetsteori och statistik; Vehicle Engineering; Farkostteknik; Reliability and Maintenance; Tillförlitlighets- och kvalitetsteknik; Applied Mechanics; Teknisk mekanik; Computational Mathematics; Beräkningsmatematik; Fluid Mechanics and Acoustics; Strömningsmekanik och akustik
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138480

A need to find better achievement has always been required in the space industrythrough time. Advanced technologies are provided to accomplish goals for humanityfor space explorer and space missions, to apprehend answers and widen knowledges. These are the goals of improvement, and in this thesis, is to strive and demandto understand and improve the mass of a space nozzle, utilized in an upperstage of space mission, with an expander cycle engine. The study is carried out by creating design of experiment using Latin HypercubeSampling (LHS) with a consideration to number of design and simulation expense.A surrogate model based optimization with Multidisciplinary Design Optimization(MDO) method for two different approaches, Analytical Target Cascading (ATC) and Multidisciplinary Feasible (MDF) are used for comparison and emend the conclusion. In the optimization, three different limitations are being investigated, designspace limit, industrial limit and industrial limit with tolerance. Optimized results have shown an incompatibility between two optimization approaches, ATC and MDF which are expected to be similar, but for the two limitations, design space limit and industrial limit appear to be less agreeable. The ATC formalist in this case dictates by the main objective, where the children/subproblems only focus to find a solution that satisfies the main objective and its constraint. For the MDF, the main objective function is described as a single function and solved subject to all the constraints. Furthermore, the problem is not divided into subproblems as in the ATC. Surrogate model based optimization, its solution influences by the accuracy ofthe model, and this is being investigated with another DoE. A DoE of the full factorial analysis is created and selected to study in a region near the optimal solution.In such region, the result has evidently shown to be quite accurate for almost allthe surrogate models, except for max temperature, damage and strain at the hottestregion, with the largest common impact on inner wall thickness of the space nozzle. Results of the new structure of the space nozzle have shown an improvement of mass by ≈ 50%, ≈ 15% and ≈ -4%, for the three different limitations, design spacelimit, industrial limit and industrial limit with tolerance, relative to a reference value,and ≈ 10%, ≈ 35% and ≈ 25% cheaper to manufacture accordingly to the defined producibility model.