{"id":14058,"date":"2021-05-31T13:04:36","date_gmt":"2021-05-31T13:04:36","guid":{"rendered":"https:\/\/www.profactor.at\/?page_id=14058"},"modified":"2021-05-31T13:04:56","modified_gmt":"2021-05-31T13:04:56","slug":"drapebot-2","status":"publish","type":"page","link":"https:\/\/www.profactor.at\/en\/research\/industrial-automation-systems\/non-destructive-inspection\/projects-archive\/drapebot-2\/","title":{"rendered":"ZDM"},"content":{"rendered":"

[vc_row][vc_column width=”3\/4″][vc_column_text]\"\"<\/a>[\/vc_column_text][vc_column_text]For complex thermo-dynamical processes such as curing of composite parts, heat treatment, coating, the current standard approach is to use experiments supported by simulation to find a suitable \u201crecipe\u201d for the process. This recipe is then applied in series production and very often the process is run \u201cblindly\u201d because no suitable sensor systems exist. Therefore, a certain risk remains that the process does not run according to plan, e.g. due to variation in the raw material, or changes in environmental conditions. Some processes also require comparably high safety margins to account for the remaining uncertainty. This leads to inefficiencies of the process or to potential scrap, which \u2013 depending on the nature of the process \u2013 can be difficult to recycle.<\/p>\n

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Starting from examples of widely used production processes, such as the curing of carbon fiber composite parts, the thermal treatment of aluminum and the coating of decorative products, a generic \u201cZero Defect Manufacturing\u201d concept for thermo-dynamical processes is developed. This concept includes the enhancement of raw sensor data with (data-driven) predictive models and physics-based simulations and the development of AI methods that model the relationship between process, product and quality data.<\/p>\n

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The project will demonstrate how data-driven modelling and physics-based simulation methods can be used to proceed from current \u201crecipe-based\u201d processes, to more flexible processes that take the actual state of the process and product into account.<\/p>\n

The main results developed during project duration are:<\/p>\n

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