Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Dielectric chart as a tool for diagnosis of dielectric materials. / Klemeshev, V. A.; Karpov, A. G.
25th Russian Particle Accelerator Conference, RuPAC 2016. ed. / Volker RW Schaa ; Maxim Kuzin . JACoW, 2016. p. 641-643 THPSC049 (25th Russian Particle Accelerator Conference, RuPAC 2016).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Dielectric chart as a tool for diagnosis of dielectric materials
AU - Klemeshev, V. A.
AU - Karpov, A. G.
N1 - Conference code: XXV
PY - 2016
Y1 - 2016
N2 - One of the most informative diagnostic methods dielectric materials is the analysis of the complex permittivity depending on the frequency of the electric field [1]. Dielectric chart is the dependence of the imaginary part of the complex permittivity of its real part. Thus, difference between the real dielectric chart from the reference or change it during the operation can be a means of diagnostics of dielectric materials. Dielectric chart in the classical theory of Debye is a semicircle with its center lying on the real axis. For solid dielectric the dielectric chart deviation from the semicircle can be quite large, but it still remains a circular arc. This deviation is characterized by parameter α (in the case of the Debye α = 0). To clarify the physical meaning of the deviations of the experimental data on the Debye theory, expressed in the value of α, several possible causes have been considered: the effect hindered reorientation of dipoles, the effect of the non-sphericity of the molecules, the complex nature of viscosity. However, the main cause of deviations, in our opinion, is the availability of the distribution of relaxation times around a central relaxation time, in particular, due to defects in the sample. Gaussian distribution width increases rapidly with increasing α. In this paper we propose an algorithm for calculating α, allowing you to quickly determine the condition of the sample on a single parameter.
AB - One of the most informative diagnostic methods dielectric materials is the analysis of the complex permittivity depending on the frequency of the electric field [1]. Dielectric chart is the dependence of the imaginary part of the complex permittivity of its real part. Thus, difference between the real dielectric chart from the reference or change it during the operation can be a means of diagnostics of dielectric materials. Dielectric chart in the classical theory of Debye is a semicircle with its center lying on the real axis. For solid dielectric the dielectric chart deviation from the semicircle can be quite large, but it still remains a circular arc. This deviation is characterized by parameter α (in the case of the Debye α = 0). To clarify the physical meaning of the deviations of the experimental data on the Debye theory, expressed in the value of α, several possible causes have been considered: the effect hindered reorientation of dipoles, the effect of the non-sphericity of the molecules, the complex nature of viscosity. However, the main cause of deviations, in our opinion, is the availability of the distribution of relaxation times around a central relaxation time, in particular, due to defects in the sample. Gaussian distribution width increases rapidly with increasing α. In this paper we propose an algorithm for calculating α, allowing you to quickly determine the condition of the sample on a single parameter.
UR - http://www.scopus.com/inward/record.url?scp=85058717512&partnerID=8YFLogxK
U2 - 10.18429/JACoW-RuPAC2016-THPSC049
DO - 10.18429/JACoW-RuPAC2016-THPSC049
M3 - Conference contribution
AN - SCOPUS:85058717512
T3 - 25th Russian Particle Accelerator Conference, RuPAC 2016
SP - 641
EP - 643
BT - 25th Russian Particle Accelerator Conference, RuPAC 2016
A2 - Schaa , Volker RW
A2 - Kuzin , Maxim
PB - JACoW
T2 - 25th Russian Particle Accelerator Conference, RuPAC 2016
Y2 - 21 November 2016 through 25 November 2016
ER -
ID: 37308030