BS EN ISO 16773-3:2016
Current
The latest, up-to-date edition.
Electrochemical impedance spectroscopy (EIS) on coated and uncoated metallic specimens Processing and analysis of data from dummy cells
Hardcopy , PDF
English
30-04-2016
Foreword
1 Scope
2 Description of the dummy cells
3 Procedure
4 Data analysis
5 Presentation of the results
6 Acceptance criteria for the measurement system
7 Test report
8 Repeatability and reproducibility
Bibliography
Describes a procedure for the evaluation of the experimental set-up used for carrying out EIS on high-impedance coated samples.
Committee |
STI/10
|
DevelopmentNote |
Supersedes 14/30266802 DC. (05/2016)
|
DocumentType |
Standard
|
Pages |
20
|
PublisherName |
British Standards Institution
|
Status |
Current
|
Supersedes |
This part of ISO16773 specifies a procedure for the evaluation of the experimental set-up used for carrying out EIS on high-impedance coated samples. For this purpose, dummy cells are used to simulate high-impedance coated samples. On the basis of the equivalent circuits described, this part of ISO16773 gives guidelines for the use of dummy cells to increase confidence in the test protocol, including making measurements, curve fitting and data presentation. NOTE Due to the nature of the measurements, investigations of high-impedance coated samples are more susceptible to artefacts coming from electromagnetic interferences. Therefore, this part of ISO16773 considers the aspects for measuring high-impedance samples by using appropriate dummy cells in a Faraday cage. However, most manufacturers offer complementary dummy cells in the low and medium impedance range. This allows checking the setup in the respective low impedance range.
Standards | Relationship |
EN ISO 16773-3:2016 | Identical |
ISO 16773-3:2016 | Identical |
ISO/TR 16208:2014 | Corrosion of metals and alloys Test method for corrosion of materials by electrochemical impedance measurements |
ISO 16773-2:2016 | Electrochemical impedance spectroscopy (EIS) on coated and uncoated metallic specimens Part 2: Collection of data |
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