Publications

Madison, Jonathan D.; Jackson, Olivia D.; Swiler, Laura P.; Boyce, Brad B.; Jared, Bradley H.; Rodelas, Jeffrey R.; Salzbrenner, Bradley S.; Webb, Kevin W.; Jacques, Carl L.; Romero, Joseph A.; Kernen, Burke L.; Moore, David G.

Abstract not provided.

Moore, David G.; Nelson, C.L.; Stair, Sarah L.

Abstract not provided.

Moore, David G.; Stair, Sarah L.; Jack, David A.

Abstract not provided.

Moore, David G.; Lavrova, Olga A.; King, Bruce H.

Abstract not provided.

Lentfer, Andrew L.; Moore, David G.

Abstract not provided.

Lentfer, Andrew L.; Moore, David G.

Abstract not provided.

Moore, David G.; Nelson, C.L.; Baylor, David J.; Baylor, Sarah S.

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Moore, David G.; Baylor, Sarah S.; Baylor, David J.

Abstract not provided.

Moore, David G.; Shepard, Steve M.

Abstract not provided.

Moore, David G.; Nelson, C.L.

Abstract not provided.

Moore, David G.; Nelson, C.L.; Stair, Sarah S.

Abstract not provided.

Moore, David G.; Kernen, Burke L.

Abstract not provided.

Moore, David G.; Nelson, C.L.; Ober, Curtis C.; Rodacy, Phil R.

Abstract not provided.

Lentfer, Andrew L.; Moore, David G.

Abstract not provided.

Moore, David G.; Nelson, C.L.

Abstract not provided.

Moore, David G.; Nelson, C.L.; Lau, Sarah J.

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Moore, David G.; Nelson, C.L.

Abstract not provided.

AIP Conference Proceedings

Lau, Sarah J.; Moore, David G.; Stair, Sarah L.; Nelson, C.L.

Ultrasonic analysis is being explored as a way to capture events during melting of highly dispersive wax. Typical events include temperature changes in the material, phase transition of the material, surface flows and reformations, and void filling as the material melts. Melt tests are performed with wax to evaluate the usefulness of different signal processing algorithms in capturing event data. Several algorithm paths are being pursued. The first looks at changes in the velocity of the signal through the material. This is only appropriate when the changes from one ultrasonic signal to the next can be represented by a linear relationship, which is not always the case. The second tracks changes in the frequency content of the signal. The third algorithm tracks changes in the temporal moments of a signal over a full test. This method does not require that the changes in the signal be represented by a linear relationship, but attaching changes in the temporal moments to physical events can be difficult. This paper describes the algorithm paths applied to experimental data from ultrasonic signals as wax melts and explores different ways to display the results.

AIP Conference Proceedings

Moore, David G.; Lau, Sarah J.; Nelson, C.L.; Stair, Sarah L.

Ultrasonic analysis is being explored as a way to capture events during melting of highly dispersive wax. Typical events include temperature changes in the material, phase transition of the material, surface flows and reformations, and void filling as the material melts. Melt tests are performed with wax to evaluate the usefulness of different signal processing algorithms in capturing event data. Several algorithm paths are being pursued. The first looks at changes in the velocity of the signal through the material. This is only appropriate when the changes from one ultrasonic signal to the next can be represented by a linear relationship, which is not always the case. The second tracks changes in the frequency content of the signal. The third algorithm tracks changes in the temporal moments of a signal over a full test. This method does not require that the changes in the signal be represented by a linear relationship, but attaching changes in the temporal moments to physical events can be difficult. This study describes the algorithm paths applied to experimental data from ultrasonic signals as wax melts and explores different ways to display the results.

Dorado, Andrea M.; Moore, David G.

Abstract not provided.

Physics Procedia

Moore, David G.; Ober, Curtis C.; Rodacy, Philip J.; Nelson, C.L.

Ultrasonic wave propagation decreases as a material is heated. Two factors that can characterize material properties are changes in wave speed and energy loss from interactions within the media. Relatively small variations in velocity and attenuation can detect significant differences in microstructures. This paper discusses an overview of experimental techniques that document the changes within a highly attenuative material as it is either being heated or cooled from 25°C to 90°C. The experimental set-up utilizes ultrasonic probes in a through-transmission configuration. The waveforms are recorded and analyzed during thermal experiments. To complement the ultrasonic data, a Discontinuous-Galerkin Model (DGM) was also created which uses unstructured meshes and documents how waves travel in these anisotropic media. This numerical method solves particle motion travel using partial differential equations and outputs a wave trace per unit time. As a result, both experimental and analytical data are compared and presented.

Lau, Sarah J.; Moore, David G.; Nelson, C.L.; Stair, Sarah L.

Abstract not provided.

Moore, David G.

Abstract not provided.

Moore, David G.; Dorado, Andrea M.

Abstract not provided.

Moore, David G.; Jack, David A.; Stair, Sarah L.

Abstract not provided.