Abstract: Oleophobic and/or oleophilic coatings to reduce heat loads on a gas turbine engine thermal management system are disclosed herein. An example method to reduce heat load in a gas turbine engine, the method including applying an oleophobic coating to an internal wall of a sump, the sump located in proximity to a heat generating element of the gas turbine engine, and applying an oleophilic coating to the heat generating element of the gas turbine engine.

Abstract: New aluminum alloys having magnesium and zinc are disclosed. The new magnesium-zinc aluminum alloys may include from 2.5 to 4.0 wt. % Mg, from 2.25 to 4.0 wt. % Zn, wherein (wt. % Mg/wt. % Zn)?1.0, and wherein (wt. % Mg/wt. % Zn)?1.6, from 0.20 to 0.9 wt. % Mn, from 0.10 to 0.40 wt. % Cu, up to 1.0 wt. % Li, up to 0.50 wt. % Fe, up to 0.50 wt. % Si, and optional secondary element(s), the balance being aluminum, optional incidental elements and impurities.

Abstract: Oleophobic and/or oleophilic coatings to reduce heat loads on a gas turbine engine thermal management system are disclosed herein. An example method to reduce heat load in a gas turbine engine includes applying an oleophobic coating to an internal wall of a sump, the sump located in proximity to a heat generating element of the gas turbine engine, and applying an oleophilic coating to the heat generating element of the gas turbine engine, the heat generating element positioned in a cavity of the sump.

Abstract: New aluminum alloys are disclosed and generally include 0.6-1.4 wt. % Si, 0.25-0.90 wt. % Mg, wherein the ratio of wt. % Si to wt. % Mg is from 1.05:1 to 5.0:1, 0.25-2.0 wt. % Cu, 0.10-3.5 wt. % Zn, 0.01-1.0 wt. % Fe, up to 0.8 wt. % Mn, up to 0.25 wt. % Cr, up to 0.20 wt. % Zr, up to 0.20 wt. % V, and up to 0.15 wt. % Ti, wherein the total of Fe+Mn+Cr+Zr+V+Ti is not greater than 2.0 wt. %, the balance being aluminum and impurities. The new aluminum alloys may include Q phase precipitates. In some embodiments, the solvus temperature of the Q phase precipitates is not greater than 950° F.

Abstract: A wheel rim including a flange profile on a tire side of an open end flange of the wheel rim, the flange profile defined by the equation: y 1 = ( a ? ? Theta ? ? 1 + 1 ( 1 + Exp ? ( a ? ? Theta ? ? 3 + a ? Theta ? ? 4 · X 1 ) ) aTheta ? ? 5 ) · a ? Theta ? 2 wherein, for 0?X1?1, aTheta1 is between ?1.004 to ?0.974, aTheta2 is between ??1.049 to ?1.0182, aTheta3 is between ?3.601 to ?2.760, aTheta4 is between 18.791 to 25.965, and aTheta5 is between 0.185 to 0.277.

Abstract: New aluminum alloys having magnesium and zinc are disclosed. The new magnesium-zinc aluminum alloys may include from 2.5 to 4.0 wt. % Mg, from 2.25 to 4.0 wt. % Zn, wherein (wt. % Mg/wt. % Zn)?1.0, and wherein (wt. % Mg/wt. % Zn)?1.6, from 0.20 to 0.9 wt. % Mn, from 0.10 to 0.40 wt. % Cu, up to 1.0 wt. % Li, up to 0.50 wt. % Fe, up to 0.50 wt. % Si, and optional secondary element(s), the balance being aluminum, optional incidental elements and impurities.

Abstract: New aluminum alloys are disclosed and generally include 0.6-1.4 wt. % Si, 0.25-0.90 wt. % Mg, wherein the ratio of wt. % Si to wt. % Mg is from 1.05:1 to 5.0:1, 0.25-2.0 wt. % Cu, 0.10-3.5 wt. % Zn, 0.01-1.0 wt. % Fe, up to 0.8 wt. % Mn, up to 0.25 wt. % Cr, up to 0.20 wt. % Zr, up to 0.20 wt. % V, and up to 0.15 wt. % Ti, wherein the total of Fe+Mn+Cr+Zr+V+Ti is not greater than 2.0 wt. %, the balance being aluminum and impurities. The new aluminum alloys may include Q phase precipitates. In some embodiments, the solvus temperature of the Q phase precipitates is not greater than 950° F.

Abstract: A wheel is provided including a disc face, an open end opposing the disc face, and a wheel rim extending between the disc face and the open end, the wheel rim including a rib extending radially inward from the rim and a rim section including the rib.

Abstract: A wheel rim including a flange profile on a tire side of an open end flange of the wheel rim, the flange profile defined by the equation: y 1 = ( aTheta ? ? 1 + 1 ( 1 + Exp ? ( aTheta ? ? 3 + aTheta ? ? 4 · X 1 ) ) aTheta ? ? 5 ) · aTheta ? ? 2 wherein, for 0?X1?1, aTheta1 is between ?1.004 to ?0.974, aTheta2 is between—?1.049 to ?1.0182, aTheta3 is between ?3.601 to ?2.760, aTheta4 is between 18.791 to 25.965, and aTheta5 is between 0.185 to 0.277.

Abstract: Aspects for optimizing leaf comparisons from a tree search of data stored in external memory of an embedded processing system are described. The aspects include providing a control structure for leaf data comparisons as a control vector and a match key, and utilizing the control vector to direct types of comparison tests performed with the match key.