Abstract No.:
1249

 Scheduled at:
Wednesday, June 04, 2008, Room 05 9:00 AM
Characterization 1
Modern characterization offers a good possibility for proofing the reliability and the performance of thermal sprayed coatings


 Title:
Evaluation of shear test results for determination of shear load resistance of thermally sprayed coatings

 Authors:
Sven Hartmann* / obz innovation gmbh, GERMANY
Friederike Deuerler / Faculty D ? Safety Technology - Material Science - Bergische Universität Wuppertal, GERMANY
Reinhard Winkler/ Schweißtechnische Lehr- und Versuchsanstalt SLV Duisburg, NL der GSI mbH, GERMANY

 Abstract:
The shear test in accordance with EN 15340 is a new test method for testing the bond between substrate and thermally sprayed coatings. It has been developed in order to enable a test method without the disadvantages of the method currently in use, the adhesion test. In the adhesion test the adhesives influence the test results; therefore in the shear test no adhesives are used. The adhesives are among others the reason for a large deviation of the test results using the pull-off test.
Using the shear test the mode of the test results depend on the ratio between adhesion and cohesion; this ratio causes three different fracture modes.
In order to investigate the deviation depending on the fracture mode samples have been coated by wire flame spraying, arc, plasma and HVOF spraying. Different ceramics, carbides and metals have been used as thermal spraying materials. For each material-process combination between 30 and 120 samples have been coated.
This report describes the interpretation of the results of the shear test depending on the fracture mode and the coating materials applied by different thermal spraying processes.
The deviation of the results depending on the fracture mode has been investigated using a shear test device by which the shear force is recorded over the displacement of the coating.
The knowledge of the deviation and the distribution of the results is necessary to decide on the required number of samples to reach a result with a defined reliability.


<= go back