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Interlayer closed-loop control of forming geometries for wire and arc additive manufacturing based on fuzzy-logic inference

机译:基于模糊逻辑推断的线弧添加剂形成几何形状的层间闭环控制

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摘要

The deposition process of wire and arc additive manufacturing (WAAM) is usually planned based on a bead geometry model (BGM), which represents the relationship between bead geometries (e.g. width, height) and required deposition parameters. However, the actual deposition situation may deviate from the one in which the BGM is built, such as varied heat dissipation conditions, resulting in morphological changes of deposited beads and geometrical errors in the formed parts. In this paper, a novel control mechanism for enhancing the fabri-cation accuracy of WAAM based on fuzzy-logic inference is proposed. It considers the geometrical errors measured on already deposited layers and deposition context to adjust deposition parameters of beads in the subsequent layer, forming an interlayer closed-loop control (ICLC) mechanism. This paper not only presents the theoretical fundamentals of the ICLC mechanism but also reports the technical details about utilizing this mechanism to control the forming height of multi-layer multi-bead (MLMB) components. A fuzzy-logic inference machine was applied as the core component for calculating speed change of bead deposition based on height error and previously applied change. In terms of validation, the effectiveness of the proposed control mechanism and the implemented controller was investigated through both simulative studies and real-life experiments. The fabricated cuboid blocks showed good accuracy in height with a maximum error of 0.20 mm. The experimental results implied that the proposed ICLC approach facilitates deposition continuity of WAAM, and thus enables process automation for robotic manufacturing.
机译:通常基于珠几何模型(BGM)来规划焊丝和弧添加制造(WAAM)的沉积过程,其代表珠几何(例如宽度,高度)和所需的沉积参数之间的关系。然而,实际沉积情况可以偏离BGM的构建之一,例如变化的散热条件,导致成形部分中沉积的珠子和几何误差的形态变化。本文提出了一种基于模糊逻辑推断的提高WAAM的Fabri阳离子精度的新型控制机制。它考虑在已经沉积的层和沉积上下文上测量的几何误差,以调节后续层中珠子的沉积参数,形成层间闭环控制(ICLC)机构。本文不仅介绍了ICLC机制的理论基础,而且还报告了利用该机制来控制多层多珠(MLMB)组分的形成高度的技术细节。基于高度误差和先前施加的变化,将模糊逻辑推理机应用于用于计算珠沉积速度变化的核心部件。在验证方面,通过模拟研究和现实生活实验研究了所提出的控制机制和实施控制器的有效性。制造的长方体块的高度显示出良好的精度,最大误差为0.20毫米。实验结果暗示,所提出的ICLC方法有助于WAAM的沉积连续性,从而实现机器人制造的过程自动化。

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