Calculation of macrodefects coordinates in dielectric specimens on the two-dimensional mathematical model of mechanoeletric transformations method

Bibliografiska uppgifter
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 457 : Modern Technologies for Non-Destructive Testing.— 2019.— [012020, 5 p.]
Huvudupphovsman: Laas R. A. Roman Aleksandrovich
Institutionell upphovsman: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Проблемная научно-исследовательская лаборатория электроники, диэлектриков и полупроводников (ПНИЛ ЭДиП)
Övriga upphovsmän: Khorsov P. N. Petr Nikolaevich, Surzhikov A. P. Anatoly Petrovich
Sammanfattning:Title screen
Two-dimensional mathematical model of dielectric specimen was used to determine the capability of mechanoelectrical transformations (MET) method to localize macrodefects. Amplitude and phase characteristics of response signal analytical representation were used as response parameters. Three different types of short radiofrequency pulses were chosen for the excitation. A short sin curve of a single period interval is most useful to search the position of the defect, whilst pulses of higher frequencies and are better for location depth evaluation.
Språk:engelska
Publicerad: 2019
Ämnen:
Länkar:http://dx.doi.org/10.1088/1757-899X/457/1/012020
http://earchive.tpu.ru/handle/11683/53002
Materialtyp: Elektronisk Bokavsnitt
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659654
Beskrivning
Sammanfattning:Title screen
Two-dimensional mathematical model of dielectric specimen was used to determine the capability of mechanoelectrical transformations (MET) method to localize macrodefects. Amplitude and phase characteristics of response signal analytical representation were used as response parameters. Three different types of short radiofrequency pulses were chosen for the excitation. A short sin curve of a single period interval is most useful to search the position of the defect, whilst pulses of higher frequencies and are better for location depth evaluation.
DOI:10.1088/1757-899X/457/1/012020