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Advances in Manufacturing

, Volume 3, Issue 2, pp 130–138 | Cite as

Advances in numerical computation based mechanical system design and simulation

  • Hirpa G. LemuEmail author
Article

Abstract

This paper highlights the available numerical computation techniques in mechanical engineering field with focus on application of modeling and simulation within renewable energy conversion machines as a particular research case. The study makes special focus on simulation approaches based on finite elements and multibody dynamics that are currently focused within the research community. Developing the simulation model in a computer-aided design (CAD) tool is a precondition for a successful simulation-based mechanical system research. The article discusses and elaborates the methods implemented to integrate design data with other computer-aided engineering functions. The motivation is the fact that simulation-based research is useful for design optimization of mechanical systems that operate in harsh and unfriendly environment where conducting physical testing of prototypes is difficult. In addition, the manufacturing environment is benefiting from the developments in numerical computation techniques through machining simulation that significantly reduce the time-to-market and thus increase competitiveness. The study is also intended to explore the existing gaps of capabilities in current approaches in application of computational techniques in order to draw attention to future challenges and trends.

Keywords

Numerical computation Finite element analysis (FEA) Multibody simulation Wind turbine Wave energy converter 

References

  1. 1.
    Petrova R, Lemu HG, Larion I (2013) Study of horizontal axis wind turbine blade in virtual wind tunnel simulator. In: Proceedings of ASME 2013 international mechanical engineering congress and exposition (IMECE2013), 14–21 Nov 2013, San Diego, CA, USAGoogle Scholar
  2. 2.
    Milano F (2004) An open source power system analysis toolbox. IEEE Trans Power Syst 20:1199–1206CrossRefGoogle Scholar
  3. 3.
    Li W, Vanfretti L, Chompoobutrgool Y (2012) Development and implementation of hydro turbine and governor models in a free and open source software package. Simul Model Pract Theory 24:84–102CrossRefGoogle Scholar
  4. 4.
    Cigel R et al (2011) Simulation data management—survey report, NAFEMS 2011Google Scholar
  5. 5.
    Courant R (1943) Variational methods for the solution of problems of equilibrium and vibrations. Bull Am Math Soc 49:1–23zbMATHMathSciNetCrossRefGoogle Scholar
  6. 6.
    Lemu HG (2013) Study of the role of virtual engineering technologies in design. In: Wang KS, Strandhagen JO, Tu DW (eds) Proceedings of international workshop of advanced manufacturing and automation (IWAMA 2013), Tapir Academic Press, Trondheim, No 4, pp 59–69Google Scholar
  7. 7.
    Luo N, Pacheco L, Vidal Y, Li H (2012) Smart structural control strategies for offshore wind power generation with floating wind turbines. In: Proceedings of international conference on renewable energies & power quality journal, Santiago de Compostela, SpainGoogle Scholar
  8. 8.
    Lemu HG (2014) Virtual engineering in design and manufacturing. Adv Manuf 2:289–294CrossRefGoogle Scholar
  9. 9.
    Petrova R, Lemu HG (2014) Stress and displacement analysis of a HAWT under time-variable wind. In: ASME 2014, international mechanical engineering congress and exposition (IMECE2014), 14–20 Nov 2014, Montreal, CanadaGoogle Scholar
  10. 10.
    Petrova R, Lemu HG (2012) Design study for dynamic behavior of wind turbine blade. In: Proceedings of international workshop of advanced manufacturing and automation (IWAMA 2012), Tapir Academic Press, Trondheim, pp 131–138Google Scholar
  11. 11.
    Shienlen W (1997) Multibody dynamics: roots and perspectives. Multibody Syst Dyn 1:149–188MathSciNetCrossRefGoogle Scholar
  12. 12.
    Shen X, Zhu X, Du Z (2011) Wind turbine aerodynamics and loads control in wind shear flow. Energy 36(3):1424–1434CrossRefGoogle Scholar
  13. 13.
    Hansen MOL et al (2006) State of the art in wind turbine aerodynamics and aeroelasticity. Progress Aerosp Sci 42(4):285–330CrossRefGoogle Scholar
  14. 14.
    Lanzafame R, Messina M (2007) Fluid dynamics wind turbine design: critical analysis, optimization and application of BEM theory. Renew Energy 32(14):2291–2305CrossRefGoogle Scholar
  15. 15.
    Rajakumar S, Ravindran D (2012) Iterative approach for optimizing coefficient of power, coefficient of lift and drag of wind turbine rotor. Renew Energy 38:83–93CrossRefGoogle Scholar
  16. 16.
    Glauert H (1963) Airplane propellers. In: Durand WF (ed) Aerodynamic theory. Dover, New York, pp 182–269Google Scholar
  17. 17.
    Manwell JF, McGrowan JG, Rogers AL (2009) Wind energy explained, theory, design and application. Wiley, ChichesterGoogle Scholar
  18. 18.
    Helsen J, Vanhollebeke F et al (2011) Multibody modelling of varying complexity for modal behavior analysis of wind turbine gearboxes. Renew Energy 36:3098–3113CrossRefGoogle Scholar
  19. 19.
    Sarangi M, Majumdar B, Sekhar A (2004) Stiffness and damping characteristics of lubricated ball bearings considering the surface roughness effect. part 1: theoretical formulation. Proceedings of the Institution of Mechanical Engineers. Part J: J Eng Tribol 218:529–538Google Scholar
  20. 20.
    Tomulik P, Fraczek J (2011) Simulation of multibody systems with the use of coupling techniques: a case study. Multibody Syst Dyn 25:145–165MathSciNetCrossRefGoogle Scholar
  21. 21.
    Das M, Barut A, Madenci E (2010) Analysis of multibody systems experiencing large elastic deformations. Multibody Syst Dyn 23:1–31zbMATHMathSciNetCrossRefGoogle Scholar
  22. 22.
    Wasfy TM, Noor AK (2003) Computational strategies for flexible multibody systems. Appl Mech Rev 56:553–613CrossRefGoogle Scholar
  23. 23.
    Hong D, Ren G (2011) A modelling of sliding joint on one-dimensional flexible medium. Multibody Syst Dyn 26:91–106zbMATHMathSciNetCrossRefGoogle Scholar
  24. 24.
    Finnegan W, Goggins J (2012) Numerical simulation of linear water waves and wave–structure interaction. Ocean Eng 43:23–31CrossRefGoogle Scholar
  25. 25.
    Nunes G, Valério D et al (2011) Modelling and control of a wave energy converter. Renew Energy 36:1913–1921CrossRefGoogle Scholar
  26. 26.
    Babarit A, Hals J et al (2012) Numerical benchmarking study of a selection of wave energy converters. Renew Energy 41:44–63CrossRefGoogle Scholar
  27. 27.
    Buchner B (2010) Model tests and simulations on a wave energy converter based on inverse offshore engineering. Offshore Technol Conf. doi: 10.4043/20366-MS
  28. 28.
    Li Y, Yu YH (2012) A synthesis of numerical methods for modelling wave energy converter-point absorbers. Renew Sustain Energy Rev 16:4352–4364CrossRefGoogle Scholar
  29. 29.
    Nagata S, Toyota K et al (2009) Numerical simulation for evaluation of primary energy conversion of floating OWC-type wave energy converter. In: Proceedings of the International offshore and polar engineering conference, Osaka, Japan, pp 300–307Google Scholar
  30. 30.
    Hong DC, Hong SY, Hong SW (2004) Numerical study on the reverse drift force of floating BBDB wave energy absorbers. Ocean Eng 31:1257–1294CrossRefGoogle Scholar
  31. 31.
    Sun L, Taylor RE, Choo YS (2012) Multibody dynamic analysis of float-over installations. Ocean Eng 51:1–15CrossRefGoogle Scholar
  32. 32.
    Taghipour R, Arswendy A et al (2008) Structural analysis of a multibody wave energy converter in the frequency domain by interfacing WAMIT and ABAQUS. In: Proceedings of the international conference on offshore mechanics and arctic engineering—OMAE, No 1, pp 867–880Google Scholar
  33. 33.
    Park JC, Uno Y et al (2004) Numerical reproduction of fully nonlinear multi-directional waves by a viscous 3D numerical wave tank. Ocean Eng 31:1549–1565CrossRefGoogle Scholar
  34. 34.
    Nader JR, Zhu SP et al (2012) A finite element study of the efficiency of arrays of oscillating water column wave energy converters. Ocean Eng 43:72–81CrossRefGoogle Scholar

Copyright information

© Shanghai University and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Mechanical and Structural Engineering and Material TechnologyUniversity of StavangerStavangerNorway

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