Early Process Lighting Failure Detection via SDK Customization Script

During Safran's painting process, they globally apply a toning layer of paint to the parts, not knowing the specific locations of artwork aside from matching a transparent overlay sheet. They currently have the capability to take data readings at the finished process state. This student team will work to improve Safran's detection of premature failures by taking a reading of an unfinished part (without final legends being visible) and determine if the points that fall within those legend’s coordinates are passing or failing. Once the system is developed, this student team will test it on trial runs within actual production to determine validity. Safran utilizes Westboro Photometrica software which offers SDK and API capability. The software is currently setup to take readings; however, it requires the final legends to use as optical reference points. All of Safran's artwork is stored in dxf files that contain coordinate information. This student team will work to create a script/macro that takes a dxf as an input source, marries the reported data (from Photometrica) to the internal coordinates of the dxf letters, and by comparison of values, determines a pass/fail result for the entire panel.

Latest news