Material Engineering and Mechanical Manufacturing

Statistical variation analysis of compliant assembly coupling geometrical and material error

  • CHEN Hui ,
  • TAN Changbai ,
  • WANG Zhiguo
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  • College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received date: 2014-09-11

  Revised date: 2014-10-31

  Online published: 2014-11-18

Supported by

National Natural Science Foundation of China (51275236); Aeronautical Science Foundation of China (2012ZE66016)

Abstract

Compliant part is widely used in aircraft structure. Its deformation subjected to assembly forces is an important issue in assembly dimensional management for aircraft. To compensate for the deficiencies of assembly variation model concerning merely geometrical error of part, a method of statistical variation analysis for compliant assembly coupling the geometrical and material error (SVA_G&M) is proposed based on the first-order perturbation theory and the finite element method. In the SVA_G&M method, the method of influence coefficients is adopted to deduce the assembly variation regarding the source errors of part geometrical shape, material elastic modulus and Poisson's ratio, and the mean and standard deviation equations of assembly variation are formulated. Two experiments, simple sheet metals assembly and leading edge assembly of aircraft horizontal tail, are illustrated to verify the proposed method, and it is compared to the assembly process simulation of ANSYS finite element method (FEM). The result shows that the mean and standard by the SVA_G&M method has a good agreement with the FEM simulation. Meanwhile, the computing time is 30 s and 250 min respectively, which indicates that the SVA_G&M method is much more efficient than the FEM simulation. The experiments also show that material error has a considerable effect on assembly variation, in which elastic modulus plays a more important role than Poisson's ratio. Compared to assembly variation model concerning merely geometrical error, the SVA_G&M method can make more accurate and practical variation prediction of compliant assembly.

Cite this article

CHEN Hui , TAN Changbai , WANG Zhiguo . Statistical variation analysis of compliant assembly coupling geometrical and material error[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(9) : 3176 -3186 . DOI: 10.7527/S1000-6893.2014.0306

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