Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Electrical conductivity determination of semiconductors by utilizing photography, finite element simulation and resistance measurement

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005870
URN to cite this document: urn:nbn:de:bvb:703-epub-5870-8

Title data

Wang, Rui ; Moos, Ralf:
Electrical conductivity determination of semiconductors by utilizing photography, finite element simulation and resistance measurement.
In: Journal of Materials Science. Vol. 56 (2021) Issue 17 . - pp. 10449-10457.
ISSN 1573-4803
DOI der Verlagsversion: https://doi.org/10.1007/s10853-021-05949-4

[img]
Format: PDF
Name: Wang-Moos2021_Article_ElectricalConductivityDetermin.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (1MB)

Abstract

A new method is developed to measure precisely and reliably the electrical conductivity of a block-shaped semiconductor specimen using four-wire technique with electrodes in arbitrary shape and position. No effort for accurate electrode preparation is necessary anymore. This method may be especially applied to measure the conductivity of ceramics at high temperatures, when typical spring-contacts or clamp-contacts are not possible and instead wound wires are used for electrically contacting the specimen. The method comprises the following: An image of the specimen is processed to a 3D model. By applying a finite element simulation on this 3D model, a form factor (also called geometry factor) that considers the effect of the non-infinitesimally small electrodes is calculated. Together with the measured resistance (preferably in four-wire technique), the actual conductivity of the sample is derived. Experimental results confirmed the validity of the proposed method. As a limitation of the method, the conductivity of the specimen should be within the range of 0.01 Sm−1 and 106 Sm−1.

Further data

Item Type: Article in a journal
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT
Faculties
Faculties > Faculty of Engineering Science > Chair Functional Materials
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5870-8
Date Deposited: 28 Oct 2021 07:29
Last Modified: 28 Oct 2021 07:29
URI: https://epub.uni-bayreuth.de/id/eprint/5870

Downloads

Downloads per month over past year