On-machine measurement and quantitative evaluation of belt wear in robotic grinding using line structured light scanning

IF 6.8 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Zhijian Tao , Zenghuan Hou , Yanan Wang , Yu Sun , Junde Qi , Dinghua Zhang
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引用次数: 0

Abstract

Due to the favorable characteristics of flexible contact and low grinding temperature, belt grinding has been widely used for the precision machining of difficult-to-machine materials such as superalloys and titanium alloys. However, belt wear is inevitable during the machining process, posing significant challenges to grinding process planning and quality control. Currently, there is still a lack of an efficient, accurate, and widely applicable method for monitoring belt wear. To address this shortcoming, this study proposes an on-machine measurement and quantitative evaluation method of belt wear in robotic grinding using line structured light scanning. Firstly, a line laser scanning module with integrated dust-removal and dust-proof functions is designed to mitigate the impact of dust contamination on measurement accuracy. Then, this study defines a wear coefficient based on the geometric characteristics and volume variations of agglomerate. Based on this, an evaluation method for belt wear using point cloud processing is proposed, and a wear matrix is employed to better characterize the wear distribution across different regions of the belt. Finally, the full-lifecycle wear experiment of the belt is conducted on a robotic grinding platform. The experimental results demonstrate that, within a 95 % confidence interval, the measurement deviation between the proposed method and the optical profilometer-based measurement method is within 10 %. Additionally, this study investigates the temporal evolution and spatial distribution patterns of belt wear and further explores its effect on grinding performance.
基于线结构光扫描的机器人磨削带磨损的机上测量与定量评价
由于皮带磨削具有接触灵活、磨削温度低的有利特性,已广泛应用于高温合金、钛合金等难加工材料的精密加工。然而,在磨削加工过程中,皮带磨损是不可避免的,这对磨削工艺规划和质量控制提出了重大挑战。目前,还缺乏一种高效、准确、广泛适用的皮带磨损监测方法。针对这一不足,本研究提出了一种基于线结构光扫描的机器人磨削中皮带磨损的机上测量和定量评估方法。首先,设计了集除尘、防尘功能于一体的线激光扫描模块,减轻粉尘污染对测量精度的影响。然后,根据团聚体的几何特性和体积变化定义磨损系数。在此基础上,提出了一种基于点云处理的皮带磨损评估方法,并利用磨损矩阵更好地表征皮带不同区域的磨损分布。最后,在机器人磨削平台上进行了皮带的全生命周期磨损试验。实验结果表明,在95%的置信区间内,该方法与基于光学轮廓仪的测量方法的测量偏差在10%以内。此外,本文还研究了皮带磨损的时间演变和空间分布规律,并进一步探讨了皮带磨损对磨削性能的影响。
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来源期刊
Journal of Manufacturing Processes
Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-
CiteScore
10.20
自引率
11.30%
发文量
833
审稿时长
50 days
期刊介绍: The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
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