Alignment issues, correlation techniques and their assessment for a visible light imaging-based 3D printer quality control system

Jeremy Straub

doi:10.1117/12.2228081

26 May 2016 Alignment issues, correlation techniques and their assessment for a visible light imaging-based 3D printer quality control system

Jeremy Straub

Author Affiliations +

Proceedings Volume 9854, Image Sensing Technologies: Materials, Devices, Systems, and Applications III; 98540X (2016) https://doi.org/10.1117/12.2228081
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, Maryland, United States

Abstract

Quality control is critical to manufacturing. Frequently, techniques are used to define object conformity bounds, based on historical quality data. This paper considers techniques for bespoke and small batch jobs that are not statistical model based. These techniques also serve jobs where 100% validation is needed due to the mission or safety critical nature of particular parts. One issue with this type of system is alignment discrepancies between the generated model and the physical part. This paper discusses and evaluates techniques for characterizing and correcting alignment issues between the projected and perceived data sets to prevent errors attributable to misalignment.

Citation Download Citation

Jeremy Straub, Jeremy Straub, "Alignment issues, correlation techniques and their assessment for a visible light imaging-based 3D printer quality control system", Proc. SPIE 9854, Image Sensing Technologies: Materials, Devices, Systems, and Applications III, 98540X (26 May 2016); doi: 10.1117/12.2228081; https://doi.org/10.1117/12.2228081

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