1953
DOI: 10.6028/jres.050.003
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A simple calculation of dielectric loss from dielectric dispersion for polar polymers

Abstract: For polar polymers undergoing orientation polarization it is possible to calcula te diel ectric losses from dielectric constant data by use of a single approximation already familiar from its application to m echanical properties, if t h is approximation is applied to t he real part of t he dielectric constant only and if data over a suffi ciently wide freq uency range are available. Data obtained at frequen cies from 102 to 108 cycles per second for Butvar and for a copol ymer of styrene and methyl methacryla… Show more

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Cited by 3 publications
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“…Such a variation would not be expected in view of the very low values of the dissipation factor. The frequency dependence of the dielectric constant can be predicted from the observed values of the loss factor by extending [3] a procedure already described [4] …”
Section: Resultsmentioning
confidence: 99%
“…Such a variation would not be expected in view of the very low values of the dissipation factor. The frequency dependence of the dielectric constant can be predicted from the observed values of the loss factor by extending [3] a procedure already described [4] …”
Section: Resultsmentioning
confidence: 99%
“…e., the two fun ctions are simply related through a constant over their entire spectrum, and by (6), (ll), and (15) Y(lnr)=-1/2.303 dfoe~j= -2/7r e' dd~~;'j1. (16) The appearan ce of the fa ctor 2/7r immediately explains the discr epan cy between the ob erved and calculated values of e" noted previously [15], since the use of approximation (9) …”
mentioning
confidence: 99%
“…The ame treatment applied to the electrical case would result in Y(lnl / w)=-e" dlog(e"/w). dlogw (7) A ha b een pointed out [15], the use of th e approximation resulting in (7), when used in the calculation of e" from e' , leads to values that are 30 to 40 percent too small. The reason for this discrepancy is that, wh ereas the approximation made in the calculation of (6), namely, (8) is excellent, the approximation which results in (7), namely, …”
mentioning
confidence: 99%
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