Research on intelligent assembly correction system based on multi-FBG network

YU Chunrong; CHEN Hanmei; CHANG Zhansheng; LIU Zhichao

doi:10.7510/jgjs.issn.1001-3806.2022.03.012

LASER TECHNOLOGY > 2022 > 46(3): 374-378. > DOI: 10.7510/jgjs.issn.1001-3806.2022.03.012

YU Chunrong, CHEN Hanmei, CHANG Zhansheng, LIU Zhichao. Research on intelligent assembly correction system based on multi-FBG network[J]. LASER TECHNOLOGY, 2022, 46(3): 374-378. DOI: 10.7510/jgjs.issn.1001-3806.2022.03.012

Citation:

PDF (3469 KB)

Research on intelligent assembly correction system based on multi-FBG network

1.
School of Computer Science and Engineering, Cangzhou Normal University, Cangzhou 061001, China
2.
School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130013, China

More Information

Received Date: April 08, 2021
Revised Date: May 05, 2021
Published Date: May 24, 2022

Graphical Abstract

Abstract

Abstract

In order to obtain the status information of the workpiece stably under the working environment, the method of multi-fiber Bragg grating (FBG) network monitoring was adopted, and the multi-fiber grating sensors were distributed on the tooling of the assembly structure. On the basis of obtaining the real-time strain field data of the sensitive positions, the difference was analyzed. The function relationship between the assembly error and the strain field distribution, and the appropriate correction parameters were given. The results show that when 100N stress is applied to the workpiece, the maximum deformation value in the x-axis direction is 0.86mm, and the maximum value in the y-axis direction is 0.69mm; compared with the standard measurement data obtained by laser scanning, it can be seen that the test on the x-axis. The average error of the deformation value of the sensitive position is better than 4.7%, and the average error of the deformation value of the sensitive position tested on the y-axis is better than 3.9%. It is feasible to use optical fiber sensing to realize intelligent correction of the assembly process, and it has good linearity and repeatability in the entire test range, which can improve the effect of intelligent assembly control.
- fiber optics,
- intelligent assembly,
- fiber Bragg grating,
- correction algorithm,
- deformation

FullText(HTML)

References (20)

References

[1]	XU O, LU S, FENG S, et al. Novel fiber-laser-based fiber Bragg grating strain sensor with high-birefringence Sagnac fiber loop mirror[J]. Chinese Optics Letters, 2008, 6(11): 818-820. DOI: 10.3788/COL20080611.0818
[2]	JIANG Y, DUAN Zh, ZHANG X L, et al. Research on the on-line measurement of a birefringence fiber loop mirror strain sensor[J]. Laser Technology, 2020, 44(3): 315-320(in Chinese).
[3]	ALANANY Y M, TAIT M J. Fiber-reinforced elastomeric isolators for the seismic isolation of bridges[J]. Composite Structures, 2016, 160(7): 300-311. DOI: 10.1016/j.compstruct.2016.10.008
[4]	KUANG Y, GUO Y, XIONG L, et al. Packaging and temperature compensation of fiber Bragg grating for strain sensing: A survey[J]. Photonic Sensors, 2018, 8(4): 320-331. DOI: 10.1007/s13320-018-0504-y
[5]	SHI Q, REN L, YOU R Zh, et al. Development and application of smart bolt based on FBG sensors[J]. Instrument Technique and Sensor, 2020, (12): 10-15(in Chinese).
[6]	LI Ch L, TANG J G, CHENG Ch, et al. FBG arrays for quasi-distributed sensing: A review[J]. Photonic Sensors, 2021, 11(1): 91-108. DOI: 10.1007/s13320-021-0615-8
[7]	WANG X Y, DENGY Q. Multi-reflection optimization of FBG array[J]. Journal of Yanbian University(Natural Science Edition), 2020, 46(2): 134-139(in Chinese).
[8]	MENG X Q, YU J Zh, WANG J. Optical fiber sensor adjustment system for automated assembly process[J]. Semiconductor Optoelectronics, 2020, 41(4): 578-581(in Chinese).
[9]	MULLE M, YUDHANTO A, LUBINEAU G, et al. Internal strain a-ssessment using FBGs in a thermoplastic composite subjected to quasi-static indentation and low-velocity impact[J]. Composite Structures, 2019, 215(32): 305-316. DOI: 10.1016/j.compstruct.2019.02.085
[10]	ARNALDO G, LEAL J, CAMILO A R, et al. Simultaneous mea-surement of pressure and temperature with a single FBG embedded in a polymer diaphragm[J]. Optics & Laser Technology, 2019, 112(93): 77-84. DOI: 10.1016/j.optlastec.2018.11.013
[11]	YU C W, LEI S C, CHEN W S, et al. Downhole fiber optic tempe-rature-pressure innovative measuring system used in Sanshing geothermal test site[J]. Geothermics, 2018, 74(31): 190-196.
[12]	GUO Y X, LI X, KONG J Y, et al. Sliding type fiber Bragg grating displacement sensor[J]. Optics & Precision Engineering, 2017, 25(1): 50-58. DOI: 10.3788/OPE.20172501.0050
[13]	BOTSIS J, HUMBERT L, COLPO F, et al. Embedded fiber Bragg grating sensor for internal strain measurement sin polymeric materials[J]. Optics and Laser sin Engineering, 2005, 43(3): 491-510. DOI: 10.1016/j.optlaseng.2004.04.009
[14]	SUN B Ch, LI J Zh, ZHANG W T. Fiber Bragg grating sensor[J]. Optical Fiber Sensing and Structural Health Monitoring Technology, 2019, 26(4): 77-148.
[15]	XIAO H Zh, ZHANG Y N, SHEN L Y, et al. Research on curvature serialization in the curve reconstruction algorithm based on fiber Bragg gratings[J]. Chinese Journal of Scientific Instrument, 2016, 37(5): 993-999(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTotal-YQXB201605005.htm
[16]	WANG J Y, LIU Zh Ch, LIN X Zh, et al. Fiber Bragg grating strain detection system for digital calibration[J]. Laser Technology, 2020, 44(5): 570-574(in Chinese).
[17]	YUCEL M, TORUN M. Simplified fiber Bragg grating-based temperature measurement system design with enhanced high signal-to-noise ratio[J]. Microwave & Optical Technology Letters, 2018, 60(4): 965-969.
[18]	ESEQUIEL M, LUIS P, ANDREAS T, et al. Optical sensors for bond-slip characterization and monitoring of RC structures. Sensors and Actuators, 2018, A280(1): 332-339. DOI: 10.1016/j.sna.2018.07.042
[19]	JONAS H O, CHESINI G, VALDIR A S, et al. Simplifying the design of microstructured optical fibre pressure sensors[J]. Scientific Reports, 2017, 7: 372-381. DOI: 10.1038/s41598-017-00409-z
[20]	SUN L, HAO H, ZHANG B B, et al. Strain transfer analysis of embedded fiber Bragg grating strain sensor[J]. Journal of Testing and Evaluation, 2016, 44(6): 2312-2320.

Cited By

Cited by

Periodical cited type(1)

王春霞，刘云朋. 基于多FBG组合传感的机械臂外部干扰应力监测系统. 激光与红外. 2024(09): 1485-1490 .

Other cited types(1)

Get Citation

PDF

XML

Article views (7) PDF downloads (7) Cited by(2)

Turn off MathJax

Article Contents

Abstract

References

Research on intelligent assembly correction system based on multi-FBG network

Abstract

References

Cited by

Periodical cited type(1)

Other cited types(1)

Catalog

Links：

Research on intelligent assembly correction system based on multi-FBG network

Abstract

References

Cited by

Periodical cited type(1)

Other cited types(1)

Catalog

Links：

Export File

Citation

Format

Content