This paper presents a fully reversible blade parametric design methodology. The blades are for application in jet fans that ventilate and provide emergency smoke control in road tunnels. The blade design variables are tip solidity, twist, and camber distribution. The authors base the design methodology on a sensitivity analysis which they derived from a response surface approximation. They construct the latter using a computational analysis of four experimental cases which they generated using an experimental design approach. The sensitivity analysis calculates a rank and a weight for each design variable that affects the jet-fan performance parameters thrust and efficiency, and thus facilitates insight into each variable's relative importance. Finally, the authors present a redesign of an existing reversible jet-fan blade by following the design guidelines which they obtained from the sensitivity analysis. The authors study the aerodynamic characteristics of the redesigned blade and compare it to that of the baseline design configuration. They then manufacture a redesigned blade prototype. Finally, the authors present thrust and power measurements for both the baseline jet fan, and the baseline jet fan when fitted with a redesigned blade.
[1]
Kasra Daneshkhah,et al.
Aerodynamic Inverse Design for Viscous Flow in Turbomachinery Blading
,
2007
.
[2]
Meng-Sing Liou,et al.
Multiobjective Optimization Using Coupled Response Surface Model and Evolutionary Algorithm.
,
2005
.
[3]
Ramana V. Grandhi,et al.
Improved Distributed Hypercube Sampling
,
2002
.
[4]
K. R. Mutama,et al.
The experimental investigation of jet fan aerodynamics using wind tunnel modeling
,
1996
.
[5]
Wahid Ghaly,et al.
Aerodynamic Shape Optimization of Turbine Blades Using a Design-Parameter-Based Shape Representation
,
2007
.
[6]
Wahid Ghaly,et al.
Aerodynamic optimization of turbomachinery blades using evolutionary methods and ANN-based surrogate models
,
2008
.
[7]
Suhas V. Patankar,et al.
CFD MODEL FOR JET FAN VENTILATION SYSTEMS
,
2000
.
[8]
M. G. L. C. Loomans,et al.
Modelling and simulation of a jet fan for controlled air flow in large enclosures
,
2011,
Environ. Model. Softw..