1929
DOI: 10.1007/bf01339914
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Feldst�rkenabh�ngigkeit des elektrischen Ionenleitverm�gens von Einkristallen

Abstract: Das Dauerleitverm6gen natiir]icher und aus der Sehmelze gezogener reinster Steinsalzkristalle zeigt bei einer Versuchstemperatnr yon 90 o C naeh elektrolytischer Reinigung eine Zunahme mit der Feldst~rke. In den tieferen Spannungsbereichen ist die Leitf~higkeitssteigerung starker, bei hohen Fe]dst{irken ergib~ sich in guter Ann~iherung eine exponentielle Abh~ngigkeit des LeitvermSgens von der Feldst~irke. Die Leitfiihigkeitssteigerung ist bei nat~irlichen Kl~stallen stiirker als bei Sehmelz-flu~kristallen, wel… Show more

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Cited by 9 publications
(2 citation statements)
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“…Later this phenomenon was also investigated by researchers viz. Quittner et al and Johnston et al [18,19,[18][19]. Various ionic crystals such as AgBr, KCl, KI, KBr have been explored extensively for the change in ionic conductivity associated with the plastic deformation [20,36].…”
Section: Alkali Halide Crystalsmentioning
confidence: 99%
See 1 more Smart Citation
“…Later this phenomenon was also investigated by researchers viz. Quittner et al and Johnston et al [18,19,[18][19]. Various ionic crystals such as AgBr, KCl, KI, KBr have been explored extensively for the change in ionic conductivity associated with the plastic deformation [20,36].…”
Section: Alkali Halide Crystalsmentioning
confidence: 99%
“…For using this technique to serve humanity on a large scale a broad knowledge base for these electromagnetic emissions is necessary and needs further exploration. Electrical signals (change in ionic conductivity) were first observed from ionic crystals in late 1920s by Joffee et al [15] and were further explored by numerous researchers [16][17][18][19][20][21][22]. Later electrical emissions from materials were further studied to use this phenomenon in crack propagation monitoring [23,24], earthquake prognosis [25,26], snow avalanche prediction [27,28], stress-state monitoring of coal mines [29], predicting rock burst [30,31] and last but not the least for developing an efficient structural health monitoring technique [32].…”
Section: Introductionmentioning
confidence: 99%