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A comprehensive computational multidisciplinary design optimization approach for a tidal power plant turbine
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1301-7931
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
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2017 (English)In: Advances in Mechanical Engineering, ISSN 1687-8132, E-ISSN 1687-8140, Vol. 9, no 3, 1-13 p., 1687814017695174Article in journal (Refereed) Published
Abstract [en]

Multidisciplinary design optimization has become a powerful technique to facilitate continuous improvement of complex and multidisciplinary products. Parametric modeling is an essential part with tremendous impact on the flexibility and robustness of multidisciplinary design optimization. This article investigates the effect of relational and non-relational parameterization techniques on the robustness and flexibility of the conceptual design of a multidisciplinary product. Bench marking between relational and non-relational parameterization and their effect on flexibility and robustness indicate that the relational parameterization is an efficient method in the multidisciplinary design optimization process. The inherent properties of the method contribute to an efficient parametric modeling with improved communication between different disciplines. This enhances the performance of the multidisciplinary design optimization process and allows a more flexible and robust design. The considered disciplines are computer-aided design, computational fluid dynamics, finite element analysis, and dynamic simulation. A high-fidelity geometry created in a computer-aided design environment is computer-aided design centric approach and later used in computational fluid dynamics, finite element analysis for a better understanding of the product as it leads to precise outcomes. The proposed approach is implemented for the conceptual design of a novel product, a tidal power plant developed by Minesto AB using a multidisciplinary design optimization process.

Place, publisher, year, edition, pages
London: Sage Publications, 2017. Vol. 9, no 3, 1-13 p., 1687814017695174
Keyword [en]
Parametric modeling, conceptual design, computer-aided design, computational fluid dynamics, finite element analysis, dynamic simulation, multidisciplinary design optimization
National Category
Aerospace Engineering Production Engineering, Human Work Science and Ergonomics Interaction Technologies
Identifiers
URN: urn:nbn:se:liu:diva-137645DOI: 10.1177/1687814017695174ISI: 000400394500001Scopus ID: 2-s2.0-85018345706OAI: oai:DiVA.org:liu-137645DiVA: diva2:1097982
Projects
NFFP5/NFFP6
Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2017-06-14Bibliographically approved
In thesis
1. Knowledge-Based Integrated Aircraft Design: An Applied Approach from Design to Concept Demonstration
Open this publication in new window or tab >>Knowledge-Based Integrated Aircraft Design: An Applied Approach from Design to Concept Demonstration
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The design and development of new aircraft are becoming increasingly expensive and timeconsuming. To assist the design process in reducing the development cost, time, and late design changes, the conceptual design needs enhancement using new tools and methods. Integration of several disciplines in the conceptual design as one entity enables to keep the design process intact at every step and obtain a high understanding of the aircraft concepts at early stages.

This thesis presents a Knowledge-Based Engineering (KBE) approach and integration of several disciplines in a holistic approach for use in aircraft conceptual design. KBE allows the reuse of obtained aircrafts’ data, information, and knowledge to gain more awareness and a better understanding of the concept under consideration at early stages of design. For this purpose, Knowledge-Based (KB) methodologies are investigated for enhanced geometrical representation and enable variable fidelity tools and Multidisciplinary Design Optimization (MDO). The geometry parameterization techniques are qualitative approaches that produce quantitative results in terms of both robustness and flexibility of the design parameterization. The information/parameters from all tools/disciplines and the design intent of the generated concepts are saved and shared via a central database.

The integrated framework facilitates multi-fidelity analysis, combining low-fidelity models with high-fidelity models for a quick estimation, enabling a rapid analysis and enhancing the time for a MDO process. The geometry is further propagated to other disciplines [Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA)] for analysis. This is possible with an automated streamlined process (for CFD, FEM, system simulation) to analyze and increase knowledge early in the design process. Several processes were studied to streamline the geometry for CFD. Two working practices, one for parametric geometry and another for KB geometry are presented for automatic mesh generation.

It is observed that analytical methods provide quicker weight estimation of the design and when coupled with KBE provide a better understanding. Integration of 1-D and 3-D models offers the best of both models: faster simulation, and superior geometrical representation. To validate both the framework and concepts generated from the tools, they are implemented in academia in several courses at Linköping University and in industry

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. 72 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1853
National Category
Aerospace Engineering Human Computer Interaction Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-137646 (URN)10.3384/diss.diva-137646 (DOI)978-91-7685-520-1 (ISBN)
Public defence
2017-08-31, C3, C-huset, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2017-08-31Bibliographically approved

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