AC Transport Losses of Ag-Sheathed Bi2223 Monofilamentary and Multifilamentary Tapes

Author(s):  
T. Fukunaga ◽  
M. Matsui ◽  
S. Yuhya ◽  
M. Hiraoka ◽  
A. Oota
2001 ◽  
Vol 689 ◽  
Author(s):  
Ryoji Inada ◽  
Shusaku Sakamoto ◽  
Pingxiang Zhang ◽  
Akio Oota ◽  
Hiroyuki Fujimoto

ABSTRACTThe influence of lateral critical current density (Jc) distributions on AC transport losses in self-fields at 77 K have been investigated on the Ag-sheathed (Bi, Pb)-2223 multifilamentary tapes with different filament arrangements. The trapped magnetic field distributions in a remanent state on the tape surface measured by a scanning Hall sensor depend on the filament arrangements and gradually deviate from the calculation results of magnetic profile without any Jc variations in their cross sections. The transport loss values are strongly influenced from the filament arrangements in each tape, although the main contribution to the losses comes by the hysteresis loss in the superconductor. These results are explained by the calculation results of the shape of field-free core and flux-penetration-regions, varying with filament arrangements and local Jc distributions along a width direction.


2003 ◽  
Vol 13 (2) ◽  
pp. 3000-3003
Author(s):  
R. Gerbaldo ◽  
D. Botta ◽  
A. Chiodoni ◽  
G. Ghigo ◽  
L. Gozzelino ◽  
...  

2016 ◽  
Vol 30 (1) ◽  
pp. 119-124 ◽  
Author(s):  
Eva Voslarova ◽  
Vladimir Vecerek ◽  
Annamaria Passantino ◽  
Petr Chloupek ◽  
Iveta Bedanova

2008 ◽  
Vol 86 (11) ◽  
pp. 3137-3145 ◽  
Author(s):  
M. J. Ritter ◽  
M. Ellis ◽  
R. Bowman ◽  
J. Brinkmann ◽  
S. E. Curtis ◽  
...  
Keyword(s):  

Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 23
Author(s):  
Todd Hylton

Concepts from thermodynamics are ubiquitous in computing systems today—e.g., in power supplies and cooling systems, in signal transport losses, in device fabrication, in state changes, and in the methods of machine learning. Here we propose that thermodynamics should be the central, unifying concept in future computing systems. In particular, we suppose that future computing technologies will thermodynamically evolve in response to electrical and information potential in their environment and, therefore, address the central challenges of energy efficiency and self-organization in technological systems. In this article, we summarize the motivation for a new computing paradigm grounded in thermodynamics and articulate a vision for such future systems.


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