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ORNL–General Atomics partnership on ceramic matrix composites
A memorandum of understanding has been signed by Oak Ridge National Laboratory and General Atomics Electromagnetic Systems (GA-EMS) with the objective of working together on advanced ceramic matrix composite materials for applications in extreme environments. Materials that can withstand extreme temperatures, radiation, corrosion, and mechanical stress are required in aerospace, defense, energy, and other sectors.
According to the agreement, the San Diego–based GA-EMS will use resources from ORNL’s Manufacturing Demonstration Facility to develop “scalable, efficient manufacturing techniques for extreme environment materials including precursors, fibers, composites, and coatings utilized in carbon/carbon (C/C), carbon/silicon carbide (C/SiC), and SiC/SiC composite systems.”
N. V. Kornilov, S. M. Grimes, A. Voinov
Nuclear Science and Engineering | Volume 172 | Number 3 | November 2012 | Pages 278-286
Technical Paper | doi.org/10.13182/NSE11-61
Articles are hosted by Taylor and Francis Online.
The variations of ˜14-MeV (n, p), (n, ), and (n, 2n) reaction cross sections with A and Z have been analyzed. We tried to answer a rather interesting question: Can a simple parameterization be useful in comparing with nuclear reaction model calculations? In addition, we checked several approaches for parameterization. Simple systematics gave a better prediction than model calculation for the (n, 2n) reaction at A > 120. At a low mass number, the difference between experimental data and calculated or fitted results may be connected with the structure of levels for residual nuclei. We saw better agreement between experimental and fitted data in comparison with results of model calculation in particular for the (n, ) reaction for A < 110. Both approaches failed to predict (n, p) cross sections inside experimental uncertainties for A < 110 and the (n, ) cross section for A > 110. This failure may be connected with low accuracy of experimental data or with some unknown physical effect that provides an additional splitting of experimental data.