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Minimal Waste Galvonometer Field Correction for Additive Manufacturing

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Abstract

The process of generating field correction data for galvanometer scanners in additive manufacturing is costly, inefficient and wasteful. In this paper a method is presented to retrieve the field correction data using patterns scanned on thermal paper and use a MATLAB image process algorithm to analyse and achieve the correct field size, absolute focus and ascertain the field correction file. On execution of the image processing algorithm, the generated field correction file was applied and test patterns repeated delivering a perfect output.