Hansen, Hans N.

Pedersen, David B.

The field of Additive Manufacturing is growing at an accelerated rate, as prototyping is left in favor of direct manufacturing of components for the industry and consumer. A consequence of masscustomization and component complexity is an adverse geometrical verification challenge. Mass-customized parts with narrow geometrical tolerances require individual verification whereas many hyper-complex parts simply cannot be measured by traditional means such as by optical or mechanical measurement tools. This paper address the challenge by detailing how in-line computer vision has been employed in order to verify geometrical tolerances, The paper addresses to which precision, tolerance verification has been achieved, by assessing the reconstruction capability against reference 3D scanning by a selected number of AM processes. Geometrical verification was achieved down to a precision of 20μm for ideal AM processes, whereas the thermally driven SLM due to thermal warpage, resulting in a reconstruction accuracy of 400 μm

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Comparability of the performance of in-line computer vision for geometrical verification ofparts, produced by Additive Manufacturing - DTU Orbit (08/11/2017) Comparability of the performance of in-line computer vision for geometrical verification of parts, produced by AdditiveManufacturingThe field of Additive Manufacturing is growing at an accelerated rate, as prototyping is left in favor of direct manufacturingof components for the industry and consumer. A consequence of masscustomization and component complexity is anadverse geometrical verification challenge. Mass-customized parts with narrow geometrical tolerances require individualverification whereas many hyper-complex parts simply cannot be measured by traditional means such as by optical ormechanical measurement tools. This paper address the challenge by detailing how in-line computer vision has beenemployed in order to verify geometrical tolerances, The paper addresses to which precision, tolerance verification hasbeen achieved, by assessing the reconstruction capability against reference 3D scanning by a selected number of AMprocesses. Geometrical verification was achieved down to a precision of 20μm for ideal AM processes, whereas thethermally driven SLM due to thermal warpage, resulting in a reconstruction accuracy of 400 μm. General informationState: PublishedOrganisations: Department of Mechanical Engineering, Manufacturing EngineeringAuthors: Pedersen, D. B. (Intern), Hansen, H. N. (Intern)Pages: 179-183Publication date: 2014 Host publication informationTitle of host publication: Proceedings of the 2014 ASPE Spring Topical Meeting : Dimensional Accuracy and SurfaceFinish in Additive ManufacturingPublisher: American Society for Precision EngineeringISBN (Print): 9781887706643Main Research Area: Technical/natural sciencesConference: 2014 ASPE Spring Topical Meeting, Berkeley, United Kingdom, 13/04/2014 - 13/04/2014Source: FindItSource-ID: 2288294903Publication: Research - peer-review › Article in proceedings – Annual report year: 2015 

Comparability of the performance of in-line computer vision for geometrical verification of parts, produced by Additive Manufacturing

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Comparability of the performance of in-line computer vision for geometrical verification of parts, produced by Additive Manufacturing

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