A Simplified Method for Determining Relaxation Time and Electrical Resistivity from Eddy-Current Decay Measurements

1990 ◽  
Vol 18 (6) ◽  
pp. 454
Author(s):  
A Wolfenden ◽  
GL Richards ◽  
KT Hartwig
1988 ◽  
Vol 142 ◽  
Author(s):  
K. Theodore Hartwig

AbstractThe eddy-current decay method developed by Bean for electrical resistivity measurements is well-suited for bulk metal characterization studies. The technique can be applied to investigations of low temperature plastic strain in pure aluminum.


1968 ◽  
Vol 39 (7) ◽  
pp. 1019-1026 ◽  
Author(s):  
J. LePage ◽  
A. Bernalte ◽  
D. A. Lindholm

Alloy Digest ◽  
1969 ◽  
Vol 18 (8) ◽  

Abstract Alfenol is an unoriented 12% to 16% aluminum-iron alloy which has high electrical resistivity and low eddy current losses. It is furnished in the 12% aluminum and in the 16% aluminum grades. The recommended uses are for relays, gyro mechanisms, servo-mechanisms and toroid tape cores. This datasheet provides information on composition, physical properties, hardness, and tensile properties. It also includes information on heat treating. Filing Code: Fe-38. Producer or source: Carpenter.


Geophysics ◽  
2020 ◽  
Vol 85 (3) ◽  
pp. F53-F64 ◽  
Author(s):  
Nico Skibbe ◽  
Raphael Rochlitz ◽  
Thomas Günther ◽  
Mike Müller-Petke

Nuclear-magnetic resonance (NMR) is a powerful tool for groundwater system imaging. Ongoing developments in surface NMR, for example, multichannel devices, allow for investigations of increasingly complex subsurface structures. However, with the growing complexity of field cases, the availability of appropriate software to accomplish the in-depth data analysis becomes limited. The open-source Python toolbox coupled magnetic resonance and electrical resistivity tomography (COMET) provides the community with a software for modeling and inversion of complex surface NMR data. COMET allows the NMR parameters’ water content and relaxation time to vary in one dimension or two dimensions and accounts for arbitrary electrical resistivity distributions. It offers a wide range of classes and functions to use the software via scripts without in-depth programming knowledge. We validated COMET to existing software for a simple 1D example. We discovered the potential of COMET by a complex 2D case, showing 2D inversions using different approximations for the resistivity, including a smooth distribution from electrical resistivity tomography (ERT). The use of ERT-based resistivity results in similar water content and relaxation time images compared with using the original synthetic block resistivity. We find that complex inversion may indicate incorrect resistivity by non-Gaussian data misfits, whereas amplitude inversion shows well-fitted data, but leading to erroneous NMR models.


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