Turbomachinery blade design systems - hardcover

Turbomachinery blade design systems
February 8-12, 1999; R.A. Van den Braembussche

Table of contents

• DENTON, J.D. - Whittle Laboratory, University of Cambridge, U.K.
  Loss mechanisms in turbomachines
  Part I: Entropy creation in fluid flows
  Part II: Loss generation in turbomachines
• DENTON, J.D. & XU, L. - Whittle Laboratory, University of Cambridge, U.K.
  The exploitation of 3D flow in turbomachinery design
• WANG, ZHONGQI - Harbin Institute of Technology, The People's Republic of China
  Three-dimensional theory and design method of bowed-twisted blade and its application to turbomachines
• GREGORY, B.A. - AlliedSignal Engines, USA
  Considerations for the aerodynamic optimization of a turbine
  1. Preliminary discussion and introduction to optimization
  2. Dealing with fundamentals
  3. Optimization of a turbine for cost, weight and performance considerations
• ROBERTS, W.B. - Airfoil Technologies International & Flow Application Research, USA
  Extent and computation of the performance abatement due to part-span dampers (shrouds) on transonic axial fan rotors
  Reduction of shock losses in transonic rotors by internal area ruling for part-span dampers
  Effect of non-ideal blade shape on axial fan and compressor performance:
  Part 1 - Subsonic fans
  Part 2 - Transonic / supersonic fans
• HAH, C. - NASA Lewis Research Center, USA
  Aerodynamic lean and sweep for improvements in compressor performance
• BREUGELMANS, F.A.E. - von Karman Institute for Fluid Dynamics, Belgium
  Experimental investigation of sweep and dihedral in compressors
• VAN DEN BRAEMBUSSCHE - von Karman Institute for Fluid Dynamics, Belgium
  Application of inverse methods to 3D turbine and compressor blade design
• ANDERS, J.M.¹; HAARMEYER, J.¹; HEUKENKAMP, H.² - ¹BMW Rolls-Royce GmbH, Germany & ²atech GmbH engineering software technology, Germany
  A parametric blade design system
• PIERRET, S. - von Karman Institute for Fluid Dynamics, Belgium
  Three-dimensional blade design by means of an artificial neural network and Navier-Stokes solver