首页|轮廓几何特征融合下的电网设备激光除锈控制参数自适应确定方法

轮廓几何特征融合下的电网设备激光除锈控制参数自适应确定方法

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基于激光除锈轮廓特征,在进行电网设备除锈控制参数确定时,主要依托于单一的轮廓几何特征,导致除锈后表面粗糙度偏差较大.设计一种以轮廓几何特征融合为核心的参数自适应确定方法,根据激光除锈工作原理,建立激光除锈有限元模型.采用边界矩分析算法,提取电网设备除锈的多个轮廓几何特征;融合多个轮廓几何特征,设计基于融合特征的参数确定方法,有效选择各项控制参数;通过响应面分析,自适应确定电网设备激光除锈控制参数.实验结果表明:该方法可使除锈后表面粗糙度与目标表面粗糙度值之间偏差减小2.7μm,与其他激光除锈控制参数设置结果相比,除锈后表面粗糙度偏差降低了54.24%、63.51%.
Adaptive Determination Method of Laser Derusting Control Parameters for Power Grid Equipment Based on Contour Geometric Feature Fusion
Based on the profile characteristics of laser derusting,determining the control parameters of power grid equipment derusting mainly relies on a single profile geometric feature,which results in a large deviation of derusted surface roughness after the parameters determination.An adaptive parameter determination method based on contour geometric feature fusion is designed.According to the working principle of laser derusting,the finite element model of laser derusting is established.The boundary moment analysis algorithm is used to extract the geometric features of the grid equipment derusting.Based on the fusion of multiple contour geometric features,a parameter determination method is designed to effectively select various control parameters.Through response surface analysis,the laser derusting control parameters of power grid equipment are adaptively determined.The experimental results show that the deviation between the derusted surface roughness and the target surface roughness can be reduced 2.7 μm.Compared with the setting results of other laser derusting control parameters,the derusted surface roughness deviation is reduced by 54.24%and 63.51%

contour geometric featuresfeature fusionlaser derustingcontrol parameterspower grid equipmentsurface roughness

刘伟、苏文斌

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贵州电网有限责任公司电力科学研究院,贵州贵阳 550002

山东惠工电气股份有限公司,山东淄博 255086

轮廓几何特征 特征融合 激光除锈 控制参数 电网设备 表面粗糙度

中国南方电网有限责任公司重点科技项目

GZKJXM20191302

2024

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2024.53(1)
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