Free Access
Issue
Mechanics & Industry
Volume 20, Number 6, 2019
Article Number 628
Number of page(s) 12
DOI https://doi.org/10.1051/meca/2019071
Published online 29 November 2019
  1. P.Y. Li, C.W. Gu, Y. Song, A new optimization method for centrifugal compressors based on 1d calculations and analyses. Energies 8, 4317–4334 (2015) [Google Scholar]
  2. K.V. Muralidharan, Design of a Centrifugal Compressor Using CFD Analysis Part I Preliminary Design and Geometry Modification, Proceedings of the Asme International Mechanical Engineering Congress and Exposition, 2014, Vol. 1, 2015 [Google Scholar]
  3. A. Whitfield, Preliminary design and performance prediction techniques for centrifugal compressors, Proc. Inst. Mech. Eng. A 204, 131–144 (1990) [CrossRef] [Google Scholar]
  4. S. Yoon, J.H. Baek, A sensitivity analysis of centrifugal compressors' empirical models, KSME Int. J. 15, 1292–1301 (2001) [CrossRef] [Google Scholar]
  5. H.W. Oh, E.S. Yoon, M.K. Chung, An optimum set of loss models for performance prediction of centrifugal compressors, Proc. Inst. Mech. Eng. A 211, 331–338 (1997) [CrossRef] [Google Scholar]
  6. M.R. Galvas, FORTRAN program for predicting off-design performance of centrifugal compressors. Work, 1973 [Google Scholar]
  7. R.H. Aungier, Mean streamline aerodynamic performance analysis of centrifugal compressors, J. Turbomach. 117, 360–366 (1995) [Google Scholar]
  8. A.H. Zahed, N.N. Baymi, Design procedure of centrifugal compressors, ISESCO J. Sci. Technol. 10, 14 (2014) [Google Scholar]
  9. C. Xu, Centrifugal compressor design considerations, Proc. ASME Fluids Eng. Div. Summer Conf. 2, 217–225 (2006) [Google Scholar]
  10. A.H. Lerche, J.J. Moore, N.M. White, J. Hardin, in ASME Turbo Expo 2012: Turbine Technical Conference and Exposition, 2012, 191–200 [CrossRef] [Google Scholar]
  11. H.S. Kang, Y.J. Kim, Optimal design of impeller for centrifugal compressor under the influence of one-way fluid-structure interaction, J. Mech. Sci. Technol. 30, 3953–3959 (2016) [CrossRef] [Google Scholar]
  12. AIAA, Evaluation of multidisciplinary optimization approaches for aircraft conceptual design, AIAA J (2004) [Google Scholar]
  13. Y.U. Ming, Centrifugal compressor design system based on multidisciplinary design optimization, J. Mech. Streng. (2012) [Google Scholar]
  14. Y.S. Zhang, B. Zhao, Y.S. Liu, Z.F. Yue, Reliability-based multidisciplinary design optimization for centrifugal compressor using the fourth moment method, Adv. Mater. Res. 156–157, 575–581 (2010) [CrossRef] [Google Scholar]
  15. P.M. Came, C.J. Robinson, Centrifugal compressor design, Proc. Inst. Mech. Eng. C 213, 139–155 (1999) [CrossRef] [Google Scholar]
  16. J.D. Stanitz, One-dimensional compressible flow in vaneless diffusers of radial- and mixed-flow centrifugal compressors, including effects of friction, heat transfer and area change, Technical Report Archive & Image Library, 1952 [Google Scholar]
  17. F.J. Wiesner, A review of slip factors for centrifugal impellers, J. Eng. Gas Turbines Power 89, 558 (1967) [CrossRef] [Google Scholar]
  18. X. Qiu, D. Japikse, J. Zhao, M.R. Anderson, in ASME Turbo Expo 2010: Power for Land, Sea, and Air, 2011, pp. 1711–1721 [Google Scholar]
  19. G. Ferrara, L. Ferrari, C.P. Mengoni, M. De Lucia, L. Baldassarre, Experimental investigation and characterization of the rotating stall in a high pressure centrifugal compressor: Part I — influence of diffuser geometry on stall inception, Proceedings of the ASME Turbo Expo 2002: Power for Land, Sea, and Air. Volume 5: Turbo Expo 2002, Parts A and B. Amsterdam, The Netherlands, June 3–6, 2002, pp. 613–620 [Google Scholar]
  20. G. Ferrara, L. Ferrari, C.P. Mengoni, M. De Lucia, L. Baldassarre, Experimental investigation and characterization of the rotating stall in a high pressure centrifugal compressor: Part II — Influence of diffuser geometry on stage performance, Proceedings of the ASME Turbo Expo 2002: Power for Land, Sea, and Air. Volume 5: Turbo Expo 2002, Parts A and B. Amsterdam, The Netherlands, 2002, 621–628 [Google Scholar]
  21. A. Whitfield, N.C. Baines, Design of Radial Turbomachines. Longman Scientific & Technical, 1990 [Google Scholar]
  22. J.D. Denton, Loss mechanisms in turbomachines, J. Turbomach. 115, V002T014A001 (1993) [Google Scholar]
  23. J.E. Coppage, F. Dallenbach, Study of supersonic radial compressors for refrigeration and pressurization systems, Inf. Process. Lett. 1, 157–163 (1956) [Google Scholar]
  24. W. Jansen, A method for calculating the flow in a centrifugal impeller when entropy gradients are present, Royal Society Conference on Internal Aerodynamics (Turbomachinery), 1967, pp. 133–146 [Google Scholar]
  25. J.P. Johnston, J.R.C. Dean, Losses in vaneless diffusers of centrifugal compressors and pumps: analysis, experiment, and design, J. Eng. Power 88, 49–60 (1966) [CrossRef] [Google Scholar]
  26. J.W. Daily, R.E. Nece, Chamber dimension effects on induced flow and frictional resistance of enclosed rotating disks, J. Basic Eng. Trans. ASME 82, 217–230 (1960) [CrossRef] [Google Scholar]
  27. D. Japikse, paper presented at the IME Conference on Turbocharging and Turbochargers, 1982 [Google Scholar]
  28. A. Ceruti, V. Voloshin, P. Marzocca, Heuristic algorithms applied to multidisciplinary design optimization of unconventional airship configuration, J. Aircraft 51, 1758–1772 (2014) [CrossRef] [Google Scholar]
  29. S.P. Wen, J. Wang, T. Li, G. Xi, Reducing solid particle erosion of an axial fan with sweep and lean using multidisciplinary design optimization. Proc. Inst. Mech. Eng. C 228, 2584–2603 (2014) [CrossRef] [Google Scholar]
  30. D.B. Meng, H.Z. Huang, Z.L. Wang, N.C. Xiao, X.L. Zhang, Mean-value first-order saddlepoint approximation based collaborative optimization for multidisciplinary problems under aleatory uncertainty, J. Mech. Sci. Technol. 28, 3925–3935 (2014) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.