Compensation for geometrical deviations in additive manufacturing

  • The design of additive manufacturing processes, especially for batch production in industrial practice, is of high importance for the propagation of new additive manufacturing technology. Manual redesign procedures of the additive manufactured parts based on discrete measurement data or numerical meshes are error prone and hardly automatable. To achieve the required final accuracy of the parts, often, various iterations are necessary. To address these issues, a data-driven geometrical compensation approach is proposed that adapts concepts from forming technology. The measurement information of a first calibration cycle of manufactured parts is the basis of the approach. Through non-rigid transformations of the part geometry, a new shape for the subsequent additive manufacturing process was derived in a systematic way. Based on a purely geometrical approach, the systematic portion of part deviations can be compensated. The proposed concept is presented first and was applied to a sampleThe design of additive manufacturing processes, especially for batch production in industrial practice, is of high importance for the propagation of new additive manufacturing technology. Manual redesign procedures of the additive manufactured parts based on discrete measurement data or numerical meshes are error prone and hardly automatable. To achieve the required final accuracy of the parts, often, various iterations are necessary. To address these issues, a data-driven geometrical compensation approach is proposed that adapts concepts from forming technology. The measurement information of a first calibration cycle of manufactured parts is the basis of the approach. Through non-rigid transformations of the part geometry, a new shape for the subsequent additive manufacturing process was derived in a systematic way. Based on a purely geometrical approach, the systematic portion of part deviations can be compensated. The proposed concept is presented first and was applied to a sample fin-shaped part. The deviation data of three manufacturing cycles was utilised for validation and verification.show moreshow less

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Metadaten
Author:Christoph Hartmann, Philipp LechnerORCiDGND, Benjamin Himmel, Yannick Krieger, Tim C. Lueth, Wolfram Volk
URN:urn:nbn:de:bvb:384-opus4-1092106
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/109210
ISSN:2227-7080OPAC
Parent Title (English):Technologies
Publisher:MDPI AG
Type:Article
Language:English
Date of first Publication:2019/12/02
Publishing Institution:Universität Augsburg
Release Date:2023/11/15
Tag:additive manufacturing; 3D-printing; compensation; accuracy; precision
Volume:7
Issue:4
First Page:83
DOI:https://doi.org/10.3390/technologies7040083
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management / Juniorprofessur für Data-driven Materials Processing
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)