Statistical investigations into automated spray-applied stripe coats to complex geometries of floating offshore wind foundations

Daniel Kelm, Tom Marquardt, Andreas Momber, Steffen Sellmeyer, Michael Irmer
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Abstract

The automation of coating processes allows consistent, economical, and ecological applications. In this study, the effects of various surface geometries—steel plates, plates with weld seams, plates with bolts, and plates with welded fillets—on the uniformity of dry film thickness (DFT) after robotic stripe coating applications with an electrostatic spray device are investigated and analyzed with statistical methods. Robot traverse rate, pump pressure, and voltage. Based on analysis of variance studies, the robot traverse rate was identified to be the most influential factor. For plates with weld seams, an optimization study was conducted, resulting in a multiresponse prediction model. The model achieved a DFT within the target range across all measuring points within a 95% confidence interval. At an optimized factor combination (117 mm/s, 0.3 MPa, 61.4 kV), the DFT values ranged between 100 and 142 µm. The findings of this study provide fundamentals for achieving uniform coating distributions on complex geometries and for optimizing process parameters.

Abstract Image

海上浮式风地基复杂几何形状自动喷涂条纹涂层的统计研究
自动化的涂层过程允许一致的,经济的和生态的应用。在这项研究中,研究了不同的表面几何形状——钢板、带焊缝的钢板、带螺栓的钢板和带焊接角的钢板——对静电喷涂机器人条纹涂层应用后干膜厚度均匀性(DFT)的影响,并用统计方法进行了分析。机器人穿越速率,泵压力和电压。在方差分析的基础上,确定了机器人的穿越速度是最重要的影响因素。对有焊缝的钢板进行了优化研究,建立了多响应预测模型。该模型在95%的置信区间内实现了目标范围内所有测点的DFT。在优化因子组合(117 mm/s, 0.3 MPa, 61.4 kV)下,DFT值在100 ~ 142µm之间。本研究结果为在复杂几何形状上实现均匀涂层分布和优化工艺参数提供了基础。
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