Two techniques are generally used to extract turbulence information from engine flows: the ensemble and cyclic, or scale-based average. A new method is proposed here that uses an energy-based cyclic averaging technique. The energy-based filter proves to be superior in removing the coherent events associated with the cycle-to-cycle variations in the mean flow.
机构:
Univ Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, CanadaUniv Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
Sullivan, P
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Ancimer, R
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机构:
Univ Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, CanadaUniv Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
Ancimer, R
;
Wallace, J
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机构:
Univ Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, CanadaUniv Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
机构:
Univ Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, CanadaUniv Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
Sullivan, P
;
Ancimer, R
论文数: 0引用数: 0
h-index: 0
机构:
Univ Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, CanadaUniv Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
Ancimer, R
;
Wallace, J
论文数: 0引用数: 0
h-index: 0
机构:
Univ Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, CanadaUniv Toronto, Engine Res & Dev Lab Mech & Ind Engn, Toronto, ON M5S 3G8, Canada