首页|薄板件高精度测量线激光连续扫描路径规划

薄板件高精度测量线激光连续扫描路径规划

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线激光检测技术以其高精度的特点在复杂零部件检测中获得广泛应用,扫描路径规划结果对三维薄板件检测精度具有重要影响.由于线激光具有连续逐行扫描、单帧数据呈直线分布等特点,基于离散视点的规划方法难以实现被测件的各型面关键特征点的自动覆盖测量.为此,提出一种面向检测精度的多目标优化连续覆盖路径规划算法.首先,综合考虑路径长度、传感器入射角等因素,构建线激光连续扫描路径的多目标优化模型;其次,引入搜索随机树规划策略,通过对不确定度指数的迭代优化实现复杂结构件的全型面上关键特征点覆盖路径规划;最后,结合车门总成扫描案例开展应用验证,并与传统三维覆盖路径规划方法进行对比分析.结果显示所提出方法的测点平均不确定度指数较比较方法有所降低,验证了所提出方法的有效性和可行性.
Research on Continuous Scanning Path Planning for High Precision Measurement of Laser Scanner for Sheet Metal Parts
Line laser detection technology has been widely used in automobile,aerospace and other com-plex parts detection for its non-contact and high precision measurement characteristics.Continuous scanning path planning for laser scanner has an important influence on the efficiency and accuracy of 3D sheet metal parts.Line laser scanner has two noticeable characteristics:continuous measurement;linear distribution of data collected in a single frame.Therefore,the traditional discrete programming method based on viewpoint selecting is difficult to manage the automatic and full surface coverage measurement of 3D sheet metal parts.Firstly,a multi-objective optimization model of laser scanner continuous scanning path was construc-ted by considering the path length and incidence angle of the sensor.Then,the search random tree planning strategy is introduced to realize the full surface coverage path planning of complex structural parts by itera-tive optimization of continuous scanning accuracy.Finally,the application of the door assembly scanning case was verified,and the effectiveness and feasibility of the proposed method was verified by comparison and analysis with the traditional 3D coverage path planning method.

sheet metal partslaser measurementcontinuous path planningcoverage growing random tree algorithm

徐诚智、赵文政、刘银华

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上海理工大学机械工程学院,上海 200093

复杂薄板件 线激光测量 连续路径规划 覆盖式生长随机树算法

国家自然科学基金面上项目上海市自然科学基金项目上海市浦江人才计划

5187536221ZR144450022PJD048

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(4)
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