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Automatic blade blend modeling and hexahedral mesh regeneration for aircraft engine optimization
- Source :
- Structural and Multidisciplinary Optimization. 57:1345-1355
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- Multidisciplinary Design Optimization (MDO) method has been widely investigated and applied in the aircraft engine design. In the conceptual and preliminary design phase of the aircraft engine turbine MDO, automatic modeling and mesh generation of the blend between the blade and the shroud are two key technologies. A robust algorithm should be able to perform well without the target recognition of the geometric feature of the blend. A strategy of hexahedral mesh regeneration based on the Topological Homeomorphism is presented in this paper, where improved parametric modeling can be obtained for the turbine blade and disk. The optimal solutions of low pressure turbine of an aircraft engine could be obtained to examine the feasibility and availability of automatic modeling and mesh regeneration. The simulation results demonstrate that the proposed method is capable of satisfying the requirement on material strength by optimizing the blade blend radius, where the total weight of blade and disk can be reduced by 5.882%.
- Subjects :
- 0209 industrial biotechnology
Engineering
Control and Optimization
Turbine blade
Blade (geometry)
business.industry
Multidisciplinary design optimization
Mechanical engineering
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
Computer Graphics and Computer-Aided Design
Turbine
Computer Science Applications
law.invention
020901 industrial engineering & automation
020401 chemical engineering
Control and Systems Engineering
law
Mesh generation
Parametric model
Shroud
0204 chemical engineering
Engineering design process
business
Software
Subjects
Details
- ISSN :
- 16151488 and 1615147X
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Structural and Multidisciplinary Optimization
- Accession number :
- edsair.doi...........b9d78af8688f233cb2f7e6d6bce4db20
- Full Text :
- https://doi.org/10.1007/s00158-017-1816-z