Monitoring of the Triboconditioning process: An investigation with Acoustic Emission
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Applied Nano Surfaces has from laboratory studies developed a new finishing process, called triboconditioning, which combines a mechanical burnishing with coating the surface with tungsten disulfide. At present they are beginning the work to integrate the process into OEMs, for example Scania and Volvo Cars, production lines. As a step in this direction the idea of being able to monitor and evaluate the results of the triboconditioning process live as components are going through the process was proposed as an investigation area. This would ease the identification and discard of faulty components in a finished batch compared to spot testing. Also such a system could, in the best case, potentially observe early warning signals as to when the process results is starting to decline.A screening of monitoring methods similar to the, from the start, proposed Acoustic Emission has been performed. This resulted in the selection to use an Acoustic Emission system to perform monitoring tests of the process. Such a system was provided from SKF Condition Monitoring Center, together with access to the SKF condition monitoring software.To eliminate potential time related issues and dependencies it was decided to perform the monitoring on test series of the triboconditioning process in the laboratory at ANS, and to repeat previous test series with earlier investigated process results. To test runnability issues the burnishing tools were induced to wear and then used to perform treatments with set standard parameters.The main correlation that could be drawn from the AE signal behaviour to the process results was that it clearly showed the point where the treatment was finished, and no more improvements of friction or surface composition could be expected by letting the process time continue. Signal behaviour indicating tool wear which had affected the process results was distinguishable, however no early signal behaviour correlating to the start of tool wear before it affects the process results were found.
Place, publisher, year, edition, pages
2015. , 56 p.
IdentifiersURN: urn:nbn:se:ltu:diva-57880Local ID: e7f657b5-c7f5-4625-9075-30068bc86f3cOAI: oai:DiVA.org:ltu-57880DiVA: diva2:1031268
Subject / course
Student thesis, at least 30 credits
Mechanical Engineering, master's level
Validerat; 20150610 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved