Georgia Tech Research Corporation

Phillips 66 Company

Lei Yang

Meilin Liu

Ze Liu

Ting He

Ifeanyi Charles Ume

Mingfei Liu

Zhe Cheng

A CWT-based method to calculate transmission coefficients of different Lamb waves using individual LEU signals. A neural network was trained to accurately predict WPDs based on the transmission coefficients of selected Lamb waves and the LEU signal energy. The method is capable of inspecting WPDs quickly along welds in thin structures.

Weld analysis using Lamb waves and a neural network

The present invention relates to a novel method for preparing a BZCYYb material to be used in a solid oxide fuel cell. In particular, the method comprises mixing particular nano-sized and micro-sized ingredients and the size selection provides greatly improved performance characteristics of the resulting material. In particular, barium carbonate powder, zirconium oxide powder having particle diameters in the nanometer range, and cerium oxide powder having particle diameter in the micrometer range are used together with ytterbium oxide powder, and yttrium oxide powder.

Optimization of BZCYYb synthesis

Embodiments of the present disclosure include chemical compositions, structures, anodes, cathodes, electrolytes for solid oxide fuel cells, solid oxide fuel cells, fuel cells, fuel cell membranes, separation membranes, catalytic membranes, sensors, coatings for electrolytes, electrodes, membranes, and catalysts, and the like, are disclosed.

Chemical compositions, methods of making the chemical compositions, and  structures made from the chemical compositions

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Atlanta, GA, United States of America

Lei Yang