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

机译:由添加剂制造生产的用于零件几何验证的在线计算机视觉性能的可比性

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摘要

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.
机译:增材制造领域正以加速的速度增长,因为原型设计偏向于直接为工业和消费者制造零部件。大规模定制和组件复杂性的结果是不利的几何验证挑战。具有窄几何公差的大量定制零件需要单独验证,而许多超复杂零件根本无法通过传统方式(例如,光学或机械测量工具)进行测量。本文通过详细介绍如何使用在线计算机视觉来验证几何公差来解决这一挑战。本文通过选择一定数量的参考3D扫描来评估重建能力,从而解决了精度,公差验证的问题。 AM流程。对于理想的增材制造工艺,几何验证的精度可低至20μm,而由于热翘曲而产生的热驱动SLM的几何精度可达到400μm。

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