Surface Reconstruction of a Mullite-Type Catalyst via Selective Dissolution for NO Oxidation

1985 ◽

Vol 43 ◽

pp. 288-289

Author(s):

John D. Rubio

Keyword(s):

Grain Boundary ◽

Ion Implantation ◽

Nuclear Power ◽

Power Plants ◽

Surface Region ◽

Selective Dissolution ◽

Boundary Region ◽

Near Surface ◽

Inconel 600 ◽

Steam Generator Tubing

The degradation of steam generator tubing at nuclear power plants has become an important problem for the electric utilities generating nuclear power. The material used for the tubing, Inconel 600, has been found to be succeptible to intergranular attack (IGA). IGA is the selective dissolution of material along its grain boundaries. The author believes that the sensitivity of Inconel 600 to IGA can be minimized by homogenizing the near-surface region using ion implantation. The collisions between the implanted ions and the atoms in the grain boundary region would displace the atoms and thus effectively smear the grain boundary.To determine the validity of this hypothesis, an Inconel 600 sample was implanted with 100kV N2+ ions to a dose of 1x1016 ions/cm2 and electrolytically etched in a 5% Nital solution at 5V for 20 seconds. The etched sample was then examined using a JEOL JSM25S scanning electron microscope.

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Fermi-surface reconstruction close to a pressure-induced metal-insulator transition

Journal de Physique IV (Proceedings) ◽

10.1051/jp4:2004114058 ◽

2004 ◽

Vol 114 ◽

pp. 277-281 ◽

Cited By ~ 1

Author(s):

J. Wosnitza ◽

J. Hagel ◽

O. Stockert ◽

C. Pfleiderer ◽

J. A. Schlueter ◽

...

Keyword(s):

Fermi Surface ◽

Surface Reconstruction ◽

Insulator Transition ◽

Metal Insulator Transition ◽

Metal Insulator ◽

Fermi Surface Reconstruction

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DOWNHOLE SIGNAL COMPRESSION AND SURFACE RECONSTRUCTION BASED ON DICTIONARY MACHINE LEARNING

10.30632/spwla-5088 ◽

2020 ◽

Author(s):

Jian Li ◽

◽

Bin Dai ◽

Christopher M. Jones ◽

Etienne M. Samson ◽

...

Keyword(s):

Machine Learning ◽

Surface Reconstruction ◽

Signal Compression

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CPU-GPU Rendering of CT Scan Images for Vertebra Reconstruction from CT Scan Images with a Calibration Policy

10.31487/j.mirs.2020.01.02 ◽

2020 ◽

pp. 1-5

Author(s):

Usman Khan ◽

AmanUllah Yasin ◽

Imran Shafi ◽

Muhammad Abid

Keyword(s):

3D Reconstruction ◽

Ct Scan ◽

Surface Reconstruction ◽

3D Visualization ◽

Cervical Vertebra ◽

Marching Cubes ◽

Affine Transform ◽

Visualization Techniques ◽

Visualization Algorithms ◽

Gpu Implementation

In this work GPU implementation of classic 3D visualization algorithms namely Marching Cubes and Raycasting has been carried for cervical vertebra using VTK libraries. A proposed framework has been introduced for efficient and duly calibrated 3D reconstruction using Dicom Affine transform and Python Mayavi framework to address the limitation of benchmark visualization techniques i.e. lack of calibration, surface reconstruction artifacts and latency.

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