{"id":12427,"date":"2019-09-17T07:52:32","date_gmt":"2019-09-17T07:52:32","guid":{"rendered":"http:\/\/www.profactor.at\/research\/industrial-assistive-systems\/machine-learning-for-machine-vision\/projects\/sonicscan\/"},"modified":"2019-09-17T08:22:33","modified_gmt":"2019-09-17T08:22:33","slug":"sonicscan","status":"publish","type":"page","link":"https:\/\/www.profactor.at\/en\/research\/industrial-automation-systems\/non-destructive-inspection\/projects-archive\/sonicscan\/","title":{"rendered":"SonicScan"},"content":{"rendered":"

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<\/div><\/div>[\/vc_column_text][vc_column_text]The SonicScan project aims at developing NDT methods based on ultrasonic testing that are suitable for primary structural parts. The main challenge is the compact shape of the parts and their high thickness. To address this problem the project builds upon the sampling phased array technology that allows the tomographic inspection of parts and combine it with a robotic handling system to move the sensor across the part.<\/p>\n

Project name:<\/strong>
\nSonicScan: Innovative quality inspection methods for CFRP primary structural parts<\/p>\n

Duration:<\/strong>
\n2019 – 2021<\/p>\n

Funding:<\/strong><\/p>\n

This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 831830. The JU receives support from the European Union\u2019s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than the Union.<\/p>\n

Website<\/strong>:
\nhttp:\/\/sonicscan.eu\/\u00a0<\/a>[\/vc_column_text][\/vc_column][vc_column width=”1\/4″ el_class=”page-sidebar page-reference-sidebar”][vc_column_text el_class=”reference-person”]<\/p>\n

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Your Contact<\/h4>\n

Dr. Christian Eitzinger<\/strong>
\nHead of Machine Vision<\/p>\n

+43 7252 885 250
\nchristian.eitzinger@null<\/span>profactor.at<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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