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Chalk River Laboratories

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About: Chalk River Laboratories is a based out in . It is known for research contribution in the topics: Neutron diffraction & Neutron scattering. The organization has 2297 authors who have published 2700 publications receiving 73287 citations.


Papers
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Journal Article
TL;DR: In this paper, the authors proposed a new probe called C3, which is able to detect defects in the presence of variable lift-off with ten times the signal-to-noise ratio as that exhibited by comparable pancake-type impedance probes.
Abstract: Conventional eddy current bobbin probes are known to be ineffectual in detecting circumferential cracks in tubing. Multi-pancake and/or rotating pancake probes are required to detect circumferential cracks. It has recently been demonstrated in CANDU steam generator tubes, with deformation, ferromagnetic deposits, and copper deposits, that multi-channel probes with transmit-receive (T/R) coils are superior to those using surface impedance coils. Unlike rotating probes, the design of a new probe denoted as C3 permits fast, single-scan inspection of a full-length tube at inspection speeds comparable to conventional bobbin probes. Since 1992, the probe has been used routinely for steam generator in-service inspection at 4 CANDU plants. Defective tubes have been plugged and the units returned to service, and they continue to operate without leaks. This paper describes the basic features of T/R surface probes. Two-dimensional voltage diagrams showing computer-derived probe response to frequency, lift-off, carbon steel supports, magnetite deposits and copper deposits are presented and compared with corresponding signals from impedance coils. Theoretical and experimental results show that T/R probes are able to detect defects in the presence of variable lift-off (due to tube-wall deformation) with ten times the signal-to-noise ratio as that exhibited by comparable pancake-type impedance probes. In addition, T/R more » probes are less sensitive to magnetite deposits, and possess good phase discrimination to internal defects. « less

21 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used hierarchical clustering and Kohonen's self-organising neural network map to process the data from acoustic emission and to develop a relationship in terms of the deformation modes.
Abstract: The mechanical behaviour of extruded AZ31B magnesium alloy with two different textures was studied. Acoustic emission (AE) was used to record the signals to detect the various deformation processes occurring during the mechanical test. Hierarchical clustering and Kohonen's self-organising neural network map were used to process the data from AE and to develop a relationship in terms of the deformation modes. The signals produced from the two different deformation mechanisms (i.e. slip and twinning) were successfully identified. The developed method could be efficiently used for the classification of AE data.

21 citations

Journal ArticleDOI
TL;DR: The first gas-fed ion source for radiocarbon AMS applications (without sputtering) has been operated at the Woods======Hole NOSAMS Facility as discussed by the authors, where the ion source was operated on CO_2 at a flow rate of about 200 µ1 per minute, negative carbon ion beams up to 20 µA.
Abstract: The first gas-fed ion source for radiocarbon AMS applications (without sputtering) has been operated at the Woods Hole NOSAMS Facility. A three-year, off-line test program resulted in positive carbon ion currents up to 1 mA and negative ion currents up to 80 µA. Recently, the compact, permanent-magnet microwave plasma ion source and magnesium vapor charge-exchange canal were coupled to the recombinator injector of the 2.5 MV Tandetron. When the ion source was operated on CO_2 at a flow rate of about 200 µ1 per minute, negative carbon ion beams up to 20 µA were obtained, at an energy of 35 keV. Radiocarbon measurements were performed on standard reference gases and the dynamic response to square-wave pulses of gas was determined. Time constants in the ion source are less than 1 s, which should allow analysis of chromatographic peaks of CO_2 with very little broadening. A combustion device has been constructed to generate CO_2 for direct injection into the source. Argon carrier gas is used to buffer the pressure at one atmosphere in the sample gas injector. A dedicated ion-beam injector, with higher angular acceptance and higher transmitted currents, is being constructed for the AMS system.

21 citations

Journal ArticleDOI
TL;DR: High selectivity for separation of [sup 91]Zr from other Zr isotopes was observed during triple resonant ionization of Zr vapors, in excellent agreement with predictions derived using only geometric components of the transition dipole moment.
Abstract: High selectivity (g10) for separation of $^{91}\mathrm{Zr}$ from other Zr isotopes was observed during triple resonant ionization of Zr vapors. Linearly polarized lasers were used to prepare aligned states, from which further excitation to a presently discovered J=0 level could be suppressed for even-mass isotopes, by a suitable choice of relative laser polarization. Photoionization of the odd-mass isotope $^{91}\mathrm{Zr}$ could be retained by use of transitions with relatively strong hyperfine interactions, because of associated population redistributions in the magnetic sublevels. The dependence of the even-mass-isotope signals on relative laser polarization followed sinusoidal forms, which are in excellent agreement with predictions derived using only geometric components of the transition dipole moment. The isotopic selectivity for $^{91}\mathrm{Zr}$ can be increased by use of saturating fluences, because of the effects of saturation, population trapping in the even-mass isotopes and strong hyperfine interactions in the odd-mass isotopes. For the same reasons, biases in even:odd isotope ratio measurements cannot always be eliminated by polarization scrambling or magic angles.

21 citations


Authors

Showing all 2298 results

NameH-indexPapersCitations
Michael D. Guiver7828820540
Robert J. Birgeneau7858722686
Mike D. Flannigan7121121327
Martin T. Dove6139614767
Luis Rodrigo5834112963
André Longtin5626016372
David Mitlin5619615479
John Katsaras552209263
John E. Greedan5539112171
Gang Li484067713
Matthew G. Tucker452247288
Bruce D. Gaulin452846698
Erick J. Dufourc431445882
Norbert Kučerka431197319
Stephen J. Skinner421948522
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202284
202176
202072
201974
2018104