DocumentCode :
165410
Title :
Error analysis of connection frame deformation considering magnetic force and thermal-structural coupling effects
Author :
Lufan Zhang ; Zhili Long ; Jiwen Fang ; Longsheng Nian
Author_Institution :
State Key Lab. for Manuf. Syst. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
18-21 Aug. 2014
Firstpage :
925
Lastpage :
929
Abstract :
Connection frame has been a key module in a macro-micro platform. The error of connection frame deformation must be taken into account for nano-positioning motion in working process. While working, the nano-positioning motion is affected by the two major deformation error sources: magnetic force and thermal structural coupling effects. These error models were built by response surface method. Each experiment result can be obtained by calculation of finite element method. Their input variables of orthogonal experiment design were imported to the commercial software ANSYS to calculate and obtain output. The response surface model was built by the input and output data. Based on these models, change trends of deformation errors with design parameters can be revealed. And an optimal model of total deformations errors would be built. Finally, the minimum error of connection frame deformation considering magnetic force and thermal structural coupling effect was calculated by genetic algorithm. The optimal solutions were obtained when the total error iterate to 15 times as follows, D=32mm, L1=80mm, R=64mm. The improvement of deformation error considering magnetic force, thermal-structural coupling force and high acceleration is 86.48%, 0.26%, 26.85% These results can provide a more accurate prediction of error analysis in more widely used cases and also offer a theoretical support for improving nano-positioning accuracy of macro-micro platform.
Keywords :
deformation; electric connectors; error analysis; finite element analysis; genetic algorithms; magnetic forces; ANSYS commercial software; connection frame deformation; error analysis; finite element method; genetic algorithm; macro-micro platform; magnetic force; nanopositioning accuracy; nanopositioning motion; response surface model; thermal structural coupling effects; Acceleration; Couplings; Deformable models; Force; Magnetic forces; Optimization; Thermal force; Connection frame; deformation error; magnetic force and thermal-structural coupling effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nanotechnology (IEEE-NANO), 2014 IEEE 14th International Conference on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/NANO.2014.6967952
Filename :
6967952
Link To Document :
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