Structural and Multidisciplinary Optimization

, Volume 57, Issue 3, pp 1345–1355 | Cite as

Automatic blade blend modeling and hexahedral mesh regeneration for aircraft engine optimization

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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%.

Keywords

Automatic blade modeling Hexahedral mesh regeneration Topological homeomorphism Aircraft engine optimization 
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References

  1. Altair (2017) Hyperworks desktop,version 2017.0 64-bit. http://www.altairhyperworks.com/product/HyperMesh/
  2. Alves M, Fernandes J, Rodrigues J, Martins P (2003) Finite element remeshing in metal forming using hexahedral elements. J Mater Process Technol 141(3):395–403CrossRefGoogle Scholar
  3. ANSYS (2013) Ansys inc products, ansys icem cfd,version 15.0 64-bitGoogle Scholar
  4. ANSYShelp (2013) Ansys help viewer 15.0, ansys documentation, icem cfd totorials documentationGoogle Scholar
  5. Benzley SE, Perry E, Merkley K, Clark B, Sjaardama G (1995) A comparison of all hexagonal and all tetrahedral finite element meshes for elastic and elasto-plastic analysis. In: Proceedings, 4th International Meshing Roundtable, Sandia National Laboratories Albuquerque, NM, vol 17, pp 179–191Google Scholar
  6. Berci M, Toropov V, Hewson R, Gaskell P (2014) Multidisciplinary multifidelity optimisation of a flexible wing aerofoil with reference to a small uav. Struct Multidiscip Optim 50(4):683–699CrossRefGoogle Scholar
  7. Calvo NA, Idelsohn SR (2002) All-hexahedral element meshing: automatic elimination of self-intersecting dual lines. Int J Numer Methods Eng 55(12):1439–1449CrossRefMATHGoogle Scholar
  8. Cass RJ, Benzley SE, Meyers RJ, Blacker TD (1996) Generalized 3-d paving: an automated quadrilateral surface mesh generation algorithm. Int J Numer Methods Eng 39(9):1475–1489CrossRefMATHGoogle Scholar
  9. Dassault (2015) Dassault systemes, isight, simulia execution engine, verison 5.9.4. https://www.3ds.com/products-services/simulia/products/isight-simulia-execution-engine//
  11. Francois B, Stephen M, Jasmin T (2009) Preliminary multi-disciplinary optimization (pmdo) an example at engine level. Technical report, RTO-EN-AVT-167Google Scholar
  12. Gu C-Z, Wu XY (2008) A review of fem and trend of development. Comput Sci Technol 2(3):248–259Google Scholar
  13. Joe B (1994) Tetrahedral mesh generation in polyhedral regions based on convex polyhedron decompositions. Int J Numer Methods Eng 37(4):693–713MathSciNetCrossRefMATHGoogle Scholar
  14. Junior HAEO, Ingber L, Petraglia A, Petraglia MR, Machado MAS (2012) Adaptive simulated annealing. Springer, BerlinMATHGoogle Scholar
  15. Lai M, Benzley SE, Sjaardema G, Tautges T (1996) A multiple source and target sweeping method for generating all hexahedral finite element meshes. In: Proceedings International Meshing Roundtable, pp 217–225Google Scholar
  16. Li T, McKeag R, Armstrong C (1995) Hexahedral meshing using midpoint subdivision and integer programming. Comput Methods Appl Mech Eng 124(1-2):171–193CrossRefGoogle Scholar
  17. Long D (2014) Aeroengine overall multidisciplinary design optimization research based on flow path. Master’s thesis, Beijing University of Aeronautics and Astronautics, BeijingGoogle Scholar
  18. Ming-wu L, Benzley SE, Sjaardema G, Tautges T (1996) A multiple source and target sweeping method for generating all-hexahedral finite element meshes. In: Proceedings, 5th International Meshing Roundtable, Citeseer, vol 96, pp 217–225Google Scholar
  19. Mitchell SA (1999) The all-hex geode-template for conforming a diced tetrahedral mesh to any diced hexahedral mesh. Eng Comput 15(3):228–235CrossRefMATHGoogle Scholar
  20. Nagendra S, Staubach J, Suydam A, Ghunakikar S, Akula V (2005) Optimal rapid multidisciplinary response networks: Rapiddisk. Struct Multidiscip Optim 29(3):213–231CrossRefGoogle Scholar
  21. Panchenko V, Moustapha H, Mah S, Patel K, Dowhan M (2003) Preliminary multi-disciplinary optimization in turbomachinery design. Technical report, DTIC DocumentGoogle Scholar
  22. Park C, Haftka RT, Kim NH (2017) Remarks on multi-fidelity surrogates. Struct Multidiscip Optim 55 (3):1029–1050MathSciNetCrossRefGoogle Scholar
  23. Price MA, Armstrong CG, Sabin M (1995) Hexahedral mesh generation by medial surface subdivision: Part i. solids with convex edges. Int J Numer Methods Eng 38(19):3335–3359CrossRefMATHGoogle Scholar
  24. RMnukres J (2004) Topology, 2nd edn. English. China Machine Press, ChinaGoogle Scholar
  25. Sampath R, Plybon R, Meyers C, Irani R, Balasubramaniam M (2004) High fidelity system simulation of aerospace vehicles using npss. In: 42nd AIAA Aerospace Sciences Meeting and Exhibit, p 371Google Scholar
  26. Schneiders R (1996) A grid-based algorithm for the generation of hexahedral element meshes. Eng Comput 12(3-4):168–177CrossRefGoogle Scholar
  27. Shen XL, Long D (2014) Research on multidisciplinary design optimization of aeroengine turbine flow path in the preliminary design phase. In: ASME Turbo Expo 2014: Turbine Technical Conference and Exposition, American Society of Mechanical Engineers, pp V02BT45A009–V02BT45A009Google Scholar
  29. Staten ML, Canann SA, Owen SJ (1999) Bmsweep: locating interior nodes during sweeping. Eng Comput 15(3):212–218CrossRefMATHGoogle Scholar
  30. Tautges TJ (2001) The generation of hexahedral meshes for assembly geometry: survey and progress. Int J Numer Methods Eng 50(12):2617–2642CrossRefMATHGoogle Scholar
  31. Wang RQ, Jia J, Fan J, Hu D, Shen XL (2011) Hexahedral mesh regeneration method for mdo on complex aero-engine components. J Aerosp Power 9(26):2032–2038Google Scholar
  32. Xiao G (2001) Aero engine design manual, fifth volume: turojet and turbofan engine overall design. Aviation Industry Press, ChinaGoogle Scholar
  33. Yu KH, Yue ZF, Wang J (2007) Parametric modeling and multidisciplinary design optimization of 3-d internally cooled turbine blades. In: 7th AIAA ATIO Conference, 2nd CEIAT International Conference on Innovation and Integration in Aero Sciences, 17th LTA Systems Technical Conference; followed by 2nd TEOS Forum, p 7719Google Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Beijing University of Aeronautics and AstronauticsBeijingChina
  2. 2.Collaborative Innovation Center of Advanced Aero-EngineBeijingChina
  3. 3.Beijing Key Laboratory of Aero-Engine Structure and StrengthBeijingChina

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