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This paper presents information on new technology which has made aerodynamic rotating shroud composite cooling fans a practical reality. This paper will describe the design methodology which creates an aerodynamic blade for just the required performance of the system. The design tool has shown to more than 90% accurate for air flow performance in lab validation tests. This paper describes applying this fan matching software to an application involving railroad switcher locomotives. The new fans are compared to the predecessor fans, and the notable performance improvement is shown. The heavy demand on cooling systems now and in the future will find a very attractive solution in the high performance low noise rotating shroud composite fan system.

Our organization has developed since 1992 a numerical model in order to compute fan performances. As we have observed lack of noise efficient prediction tool, we have aimed to an integrated model, which enable us to fully optimize fans, pressure and noise wise. This paper show some examples of our model optimization features. Our numerical model compute noise versus mass flow as well than pressure versus mass flow. This model is valid for axial as well as for centrifugal or mixed flow fans and fans for auto cooled traction motors (clock wise and anti-clock wise rotation). Thank to our model and our expertise, we have developed ultra low noise fans for a lot of applications. Some of which are described in the paper. An important point is that the fans we develop are interesting for energy efficiency; and so, money savings are possible as well in energy consumption than in drive installed power requirement.

Our organization has developed since 1992 a numerical model in order to compute fan performances. As we have observed lack of noise efficient prediction tool, we have aimed to an integrated model, which enable us to fully optimize fans, pressure and noise of fans. This paper shows some examples of our model optimization features. The fans that this model defined are interesting for energy efficiency; and so, it's possible to reduce energy consumption as well as in drive installed power requirement.

Our organization has developed since 1992 a numerical model in order to compute fan performances. As we have observed lack of noise efficient prediction tool, we have aimed to an integrated model, which enable us to fully optimize fans, pressure and noise wise. This paper show some examples of our model optimization features. Our numerical model compute noise versus mass flow as well than pressure versus mass flow. This model is valid as well for axial than for centrifugal for mix flow fans and fans for auto cooled traction motors (clock wise and anti-clock wise rotation). Thank to our model and our expertise, we have developed ultra low noise fans for a lot of applications. Some of them are described in the paper. An important point is that the fans we develop are interesting for energy efficiency; and so, money savings are possible as well in energy consumption than in drive installed power requirement.