Modeling, identification and compensation for geometric errors of laser annealing table

Dian-xin Li , Jian-fu Zhang , Yun-liang Zhang , Ping-fa Feng

Journal of Central South University ›› 2014, Vol. 21 ›› Issue (3) : 904 -911.

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Journal of Central South University ›› 2014, Vol. 21 ›› Issue (3) : 904 -911. DOI: 10.1007/s11771-014-2017-1
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Modeling, identification and compensation for geometric errors of laser annealing table

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Abstract

In order to improve the process precision of an XY laser annealing table, a geometric error modeling, and an identification and compensation method were proposed. Based on multi-body system theory, a geometric error model for the laser annealing table was established. It supports the identification of 7 geometric errors affecting the annealing accuracy. An original identification method was presented to recognize these geometric errors. Positioning errors of 5 lines in the workspace were measured by a laser interferometer, and the 7 geometric errors were identified by the proposed algorithm. Finally, a software-based error compensation method was adopted, and a compensation mechanism was developed in a postprocessor based on LabVIEW. The identified geometric errors can be compensated by converting ideal NC codes to actual NC codes. A validation experiment has been conducted on the laser annealing table, and the results indicate that positioning errors of two validation lines decreased from ±37 μm and ±33 μm to ±5 μm and ±4.5 μm, respectively. The geometric error modeling, identification and compensation method presented in this work can be straightforwardly extended to any configurations of 2-dimensional worktable.

Keywords

geometric error / error modeling / error measurement / error identification / error compensation / laser annealing table

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Dian-xin Li, Jian-fu Zhang, Yun-liang Zhang, Ping-fa Feng. Modeling, identification and compensation for geometric errors of laser annealing table. Journal of Central South University, 2014, 21(3): 904-911 DOI:10.1007/s11771-014-2017-1

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References

[1]

NojedehM V, HabibiM, ArezooB. Tool path accuracy enhancement through geometrical error compensation [J]. International Journal of Machine Tools & Manufacture, 2011, 51(6): 471-482

[2]

HsuY Y, WagnS S. A new compensation method for geometry errors of five-axis machine tools [J]. International Journal of Machine Tools & Manufacture, 2007, 47(2): 352-360

[3]

KongL B, CheungC F, ToS, LeeW B, DuJ J, ZhangZ J. A kinematics and experimental analysis of form error compensation in ultra-precision machining [J]. International Journal of Machine Tools & Manufacture, 2008, 48(12/13): 1408-1419

[4]

AbdulW K, ChenW Y. Systematic geometric error modeling for workspace volumetric calibration of a 5-axis turbine blade grinding machine [J]. Chinese Journal of Aeronautics, 2010, 23(5): 604-615

[5]

UddinM S, IbarakiS, MatsubaraA, MatsushitaT. Prediction and compensation of machining geometric errors of five-axis machining centers with kinematic errors [J]. Precision Engineering, 2009, 33(2): 194-201

[6]

AguadoS, SamperD, SantolariaJ, AguilarJ J. Identification strategy of error parameter in volumetric error compensation of machine tool based on laser tracker measurements [J]. International Journal of Machine Tools & Manufacture, 2012, 53(1): 160-169

[7]

DuZ-c, ZhangS-j, HongM-sheng. Development of a multi-step measuring method for motion accuracy of NC machine tools based on cross grid encoder [J]. International Journal of Machine Tools & Manufacture, 2010, 50(3): 270-280

[8]

LiH-l, WuH-tao. Error parameter identification for 3-axis NC machine tools [J]. Machinery, 2008, 46(4): 5-7

[9]

QuZ-y, ChenW-s, YaoYu. Research on volumetric error identification of guide [J]. Chinese Journal of Mechanical Engineering, 2006, 42(4): 201-205

[10]

SuS-p, LiS-y, WangG-lin. Research on a new identification approach for geometric errors of three-axis machines [J]. China Mechanical Engineering, 2002, 13(21): 1818-1820

[11]

ChenG-q, YuanJ-x, NiJun. A displacement measurement approach for machine geometric error assessment [J]. International Journal of Machine Tools & Manufacture, 2001, 41(1): 149-161

[12]

ZhagnG, OuyangR, LuB, HockenR, VealeR, DonmezA. A displacement method for machine geometry calibration [J]. CIRP Annals-Manufacturing Technology, 1988, 37(1): 515-518

[13]

IbarakiS, HataT. A new formulation of laser step diagonal measurement-three-dimensional case [J]. Precision Engineering, 2010, 34(3): 516-525

[14]

LeiW T, HsuY Y. Accuracy enhancement of five-axis CNC machines through real-time error compensation [J]. International Journal of Machine Tools & Manufacture, 2003, 43(9): 871-877

[15]

ShenH-y, FuJ-z, HeY, YaoX-hua. On-line asynchronous compensation methods for static/quasi-static error implemented on CNC machine tools [J]. International Journal of Machine Tools & Manufacture, 2012, 60(9): 14-26

[16]

ZhuS-w, DingG-f, QinS-f, LeiJ, ZhuangL, YanK-yin. Integrated geometric error modeling, identification and compensation of CNC machine tools [J]. International Journal of Machine Tools & Manufacture, 2012, 52(1): 24-29

[17]

TsutsumiM, ToneS, KatoN, SatoR. Enhancement of geometric accuracy of five-axis machining centers based on identification and compensation of geometric deviations [J]. International Journal of Machine Tools & Manufacture, 2013, 68(5): 11-20

[18]

LiS-y, DaiY-fanAccuracy modeling technology of precision and ultra-precision machine tool [M], 2007, Changsha, National University of Defense Technology Press: 35-75

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