Transactions of Materials and Heat Treatment

Title：A fast absolute phase solving algorithm and its application in automatic measurement of high temperature forgings

Authors： Guo Yanyan Zhong Kai He Wantao Zhang Hongjun Jiang Hao

Unit： School of Mechanical and Electrical Engineering Lingnan Normal University State Key Laboratory of Material Processing and Die & Mould Technology Huazhong University of Science and Technology Research Institute of Huazhong University of Science and Technology in Shenzhen Wuhan Vision 3D Technology Ltd.

KeyWords： multi-frequency grating phase calculation high temperature forgings Hilbert transform automatic 3D measurement

ClassificationCode：TH741

year,vol(issue):pagenumber：2022,47(11):207-213

Abstract：

In order to improve the grating projection and phase calculation speed of on-line automatic measurement for high temperature forgings based on structured light and reduce the influence of part thermal radiation on measurement accuracy as well as reduce the accuracy loss caused by environmental vibration, a fast phase solving algorithm that required only four grating projections with different frequencies without phase shift was proposed. Based on the analysis of the influence of the traditional phase solving with multi-frequency and four-step phase shift on the measurement efficiency and accuracy of high temperature forgings, firstly, the AC component was separated from the cosine grating image, and the Hilbert transform of discrete signal was used to calculate the phase instead of multi-step phase shift. Then, according to the frequency mixing of the multi-frequency heterodyne method, the synthetic phase diagram of the synthetic frequency was obtained. Finally, according to the value range of corresponding inverse trigonometric function, the synthetic phase was shifted to calculate the unwrapped phase. The simulation results show that this method can significantly improve the calculation efficiency, effectively reduce the stoppage of the measurement process, and reduce the influence of thermal radiation and vibration on the measurement accuracy. The field measurement results show that this method can meet the measurement requirements of the full-size data for forgings and provide a guarantee for the real-time monitoring of the forging process,the elimination of abnormal fluctuations in time, and the improvement and control of the accuracy for forgings.

Funds：

深圳市基础研究面上项目（JCYJ20210324142007022）；湖北省重点研发计划项目（2021BAA049）；国家自然科学基金资助项目（51675165,51505134）

作者简介：郭延艳（1982-），女，硕士，副教授，E-mail：guoyy1@lingnan.edu.cn；通信作者：何万涛（1981-），男，博士，讲师，E-mail：wantaohe@lingnan.edu.cn

Reference：

[1]韩利亚. 热成形件在线自动化三维测量技术研究[D]. 武汉：华中科技大学，2019.

Han L Y. Research on Automated 3D Measurement for Online Inspection of Hot Forming Parts[D]. Wuhan: Huazhong University of Science and Technology, 2019.

[2]刘阳. 大型热态锻件视觉测量中图像处理关键技术研究[D]. 大连：大连理工大学, 2018.

Liu Y. Key Technology Study on Image Processing Methods in Stereo Vision Measurement of Large Hot Forging[D]. Dalian: Dalian University of Technology, 2018.

[3]Wen X, Wang J P, Zhang G Y, et al. Three-dimensional morphology and size measurement of high-temperature metal components based on machine vision technology: A review[J]. Sensors, 2021, 21：4680.

[4]Fu X B, Liu B, Zhang Y C. Measurement technology of the hot-state size for heavy shell ring forging[J]. The International Journal of Advanced Manufacturing Technology, 2013, 65 (1): 543-548.

[5]Wen X, Song K C, Niu M H, et al. A three-dimensional inspection system for high temperature steel product surface sample height using stereo vision and blue encoded patterns[J]. Optik, 2017, 130: 131-148.

[6]He Q, Zhang X Z, Ji Z W, et al. A novel and systematic signal extraction method for high-temperature object detection via structured light vision[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 5013314.

[7]Zhang Y C, Han J X, Fu X B, et al. An online measurement method based on line laser scanning for large forgings[J]. International Journal of Advanced Manufacturing Technology, 2014, 70(1-4):439-448.

[8]王颖, 张玉存. 基于绿激光图像识别的热态大型锻件长度尺寸测量[J]. 计量学报, 2018, 39(3):5-8.

Wang Y, Zhang Y C. The length dimension measurement for large hot forgings based on the recognition of green laser[J]. Acta Metrologica Sinica, 2018, 39(3):5-8.

[9]王邦国,贾振元,刘巍，等. 基于结构光的大锻件尺寸测量中光条纹中心线提取方法[J]. 大连理工大学学报, 2012, 52(2):203-208.

Wang B G, Jia Z Y, Liu W, et al. A method for extracting center-lines of structured light stripes in process of dimension measurement of large forgings[J]. Journal of Dalian University of Technology, 2012, 52(2):203-208.

[10]Liu Y, Jia Z Y, Liu W, et al. An improved image acquisition method for measuring hot forgings using machine vision[J]. Sensors & Actuators A Physical, 2016, 238:369-378.

[11]Twin Coast 3D Metrology. Twin Coast Metrology-Be Industry BestTM[Z].https://twincoastmetrology.com/ products/metrology/hot-part-measurement/.

[12]OG Technologies. HotEye (tm) based coordinate measuring machine for forging industry[R]. Colorado：Office of Scientific & Technical Information Technical Reports, 2003.

[13]韩利亚, 陈天赋, 甘万兵, 等．高温转向节锻件自动化三维测量与精度检测技术[J]. 塑性工程学报, 2018, 25 (5): 53-59．

Han L Y, Chen T F, Gan W B, et al. Automatic three-dimensional measurement and precision inspection technology for high temperature steering knuckle forgings[J]. Journal of Plasticity Engineering, 2018, 25 (5): 53-59．

[14]Han L Y, Cheng X, Li Z W, et al. A robot-driven 3D shape measurement system for automatic quality inspection of thermal objects on a forging production line[J]. Sensors, 2018, 18：4368.

[15]Han L Y, Li Z W, Zhong K, et al. Vibration detection and motion compensation for multi-frequency phase-shifting-based 3D sensors[J]. Sensors, 2019,19：1368.

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