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基于行为自适应的台钻主轴轴径视觉测量策略

Visual Measurement Strategy of Spindle Diameter for Bench Drill Based on Behavior Self-adaption
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摘要 鉴于视觉测量过程行为的多样性与影响关系的复杂性,提出基于行为自适应的台钻主轴视觉测量新策略。采用周向分工位采集图像与轴向分段提取轮廓结合的组合采样法获取被测信息,并建立了主轴轴径视觉测量系统;设计曝光自适应图像采集、图像批处理、误差反馈闭环测量等功能集成的行为自适应视觉测量流程并开发相应软件。以某型号台钻主轴为对象,开展曝光区间自适应优选实验,多工位、多轴、多采样方案测量实验误差分析与稳定性评定。结果表明:所提出的行为自适应测量策略通过获取测量行为变化对测量误差的影响,形成闭环测量,可有效提高测量的稳定性,不仅满足台钻主轴高精度轴段测量需求,还有利于推动测量智能化发展。 In view of the diversity of behavior and the complexity of influence relationship in measurement, a new strategy of visual measurement for bench drill spindle based on behavior self-adaption was proposed.A visual measurement system of spindle diameter was established by using the combination sampling method of circumferential division position acquisition image and axial segmentation contour to extract the measured information.On this basis, the behavioral adaptive visual measurement process, which integrated functions such as adaptive optimizing exposure interval, batch processing images and error feedback closed-loop measurement, was designed and the corresponding software was developed.Finally, taking a certain type of bench drill spindle as example, the adaptive optimization experiment of exposure interval was carried out, as well as the error analysis and stability evaluation for multi-station, multi-axis and multi-scheme measurement.The results show that the proposed behavior adaptive measurement strategy forms the closed-loop measurement by obtaining the influence of measurement behavior change on measurement error, by which the measurement stability can be effectively improved.It not only meets the needs of high precision measurement of drilling spindle, but also promotes the development of measurement intelligence.
作者 王筠翔 花海燕 朱广磊 WANG Yunxiang;HUA Haiyan;ZHU Guanglei(School of Mechanical&Automotive Engineering,Fujian University of Technology,Fuzhou Fujian 350118,China;Digital Fujian Industrial Manufacturing IOT Lab,Fujian University of Technology,Fuzhou Fujian 350118,China)
出处 《机床与液压》 北大核心 2023年第3期96-102,共7页 Machine Tool & Hydraulics
基金 国家自然科学基金项目(51905100) 福建省自然科学基金项目(2019J05111)。
关键词 行为自适应 视觉测量 闭环测量 组合采样 高精度 Behavior self-adaption Visual measurement Closed-loop measurement Combined sampling High precision
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