Affiliation:
1. Jiangsu Provincial Key Laboratory, Advanced Robotics &Collaborative Innovation Center, Suzhou Nano Science and Technology, Soochow University, Suzhou 215021, China
Abstract
A complex surface measurement is important for quality control and manufacturing processes. Articulated arm coordinate measuring machines (AACMMs) are widely used in measuring the complex surface. However, the AACMMs that are currently used always require manual operation, which reduces efficiency and introduces operator errors. This study presents a measuring device with a 6−DOF industrial robot holding a contact probe, which realizes the automation measurement of a complex surface and eliminates operator errors compared with the traditional measurement process of an AACMM. In order to explore the source of the measuring errors of the device, the influence of three measurement parameters (approaching velocity, contact angle, and measurement position) on the measurement error of the device is analyzed in this paper. A calibration ball measurement experiment is conducted for each parameter. The results show that the optimal approaching velocity of the measuring device is around 2 mm/s, the probe should be as perpendicular as possible to the surface being measured during the measurement, and the maximum measurement error at different positions is 0.1979 mm, with a maximum repeatability error of 0.0219 mm. This study will help improve the automation measuring errors of the AACMM by utilizing an industrial robot to hold the probe, pushing for a wider application of the AACMM.
Funder
Natural Science Foundation of the Jiangsu Higher Education Institution of China
Undergraduate Training Program for Innovation and Entrepreneurship, Soochow University
Subject
Control and Optimization,Control and Systems Engineering
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Robotical Automation in CNC Machine Tools: A Review;Acta Mechanica et Automatica;2024-07-25
2. The Evolution of Spatial Coordinate Measurement Technology;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26
3. Laser Scanner-Based Robotic Coordinate Measuring Machine;International Journal of Mechanical Engineering and Robotics Research;2024