Sage Journals: Discover world-class research

Abstract

With the advancement of space technology, satellites are assuming an increasingly pivotal role in various fields. Currently, satellite structures incorporate a growing number of thin-walled parts. During the assembly process, the movement and connection of these parts are prone to generating assembly deviations, which seriously affects the overall assembly quality of the satellites. In order to accurately predict assembly deviations before assembly, this paper introduced an assembly deviation analysis model which took rigid and flexible properties into account. Starting from the attitude adjustment of satellite assembly, the transmission law of manufacturing error was established. Then, the assembly deviation analysis model integrating rigid and flexible properties was established. Finally, the assembly experiment was carried out to verify the effectiveness of the proposed model. The results showed that the average absolute error between the measurement results and calculation results was only 0.032 mm and the maximum absolute error was 0.074 mm. The average solving accuracy of the assembly deviation was 94%. The result fully proved the effectiveness of the proposed model.

Keywords

Satellite assembly deviation analysis rigid and flexible properties substructure method of influence coefficients

Get full access to this article

View all access options for this article.

References

Zhang

Liu

Zeng

, et al. Moving morphable components structural optimum approach considering wire arc additive manufacturing constraint and its application in satellite. Thin Wall Struct 2023; 192: 11117.

Gao

Chase

Magleby

. Generalized 3-D tolerance analysis of mechanical assemblies with small kinematic adjustments. IIE Trans 1998; 30: 367–377.

Leishman

Chase

. Direct linearization method kinematic variation analysis. J Mech Des 2010; 132(7): 071003.

Cai

Yuan

. A variational method of robust fixture configuration design for 3-D workpieces. J Manuf Sci Eng 2019; 119(4A): 593–602.

Takezawa

. An improved method for establishing the process wise quality standard. Rep Stat Appl Res Union Jpn Sci Eng 1980; 27(3): 63–76.

Liu

Woo

. Tolerance analysis for sheet metal assemblies. J Mech Des 1996; 118(1): 62–67.

Liu

. Variation simulation for deformable sheet metal assemblies using finite element methods. J Manuf Sci Eng 1997; 119(3): 368–374.

Camelio

Ceglarek

. Modeling variation propagation of multi-station assembly systems with compliant parts. J Mech Des 2003; 125(4): 673–681.

Camelio

Marin

. Compliant assembly variation analysis using component geometric covariance. J Manuf Sci Eng 2004; 126(2): 355–360.

10.

Jin

Lai

, et al. Sensor placement strategy for fixture variation diagnosis of compliant sheet metal assembly process. Assem Autom 2009; 29(4): 358–363.

11.

Yang

. Assembly variation modeling method research of compliant automobile body sheet metal parts using the finite element method. Int J Autom Technol 2015; 16(1): 51–56.

12.

Dahlström

Lindkvist

. Variation simulation of sheet metal assemblies using the method of influence coefficients with contact modeling. J Manuf Sci Eng 2007; 129(3): 615–622.

13.

Lorin

Lindkvist

Söderberg

, et al. Combining variation simulation with thermal expansion simulation for geometry assurance. J Comput Inf Sci Eng 2013; 13(3): 031007.

14.

Choi

Chung

. Variation simulation of compliant metal plate assemblies considering welding distortion. J Manuf Sci Eng 2015; 137(3): 031008.

15.

Guyan

. Reduction of stiffness and mass matrices. AIAA J 1965; 3(2): 380–380.

16.

Wilson

. The static condensation algorithm. Int J Numer Methods Eng 1974; 8(1): 198–203.

17.

Reddy

(ed.). Introduction to the finite element method. 4th ed. New York: McGraw-Hill Education, 2019.

18.

Merkley

. Tolerance analysis of compliant assemblies. PhD Thesis, Brigham Young University, USA, 1998.

19.

Cheng

Zhang

, et al. Variation modeling of aeronautical thin-walled structures with multi-state riveting. J Manuf Syst 2011; 30(2): 101–115.

20.

Liu

Tang

, et al. Modeling of fast pre-joining processes optimization for skin-stringer panels. Assem Autom 2014; 34(4): 323–332.

21.

Lin

Jin

Zheng

, et al. Compliant assembly variation analysis of aeronautical panels using unified substructures with consideration of identical parts. Comput Aided Des 2014; 57: 29–40.

22.

Cheng

Wang

, et al. A posture evaluation method for a large component with thermal deformation and its application in aircraft assembly. Assem Autom 2014; 34(3): 275–284.

23.

Cheng

Wang

, et al. Variation modeling for fuselage structures in large aircraft digital assembly. Assem Autom 2015; 35(2): 172–182.

24.

Tang

, et al. A posture evaluation method for aircraft wing based on a simple measurement system. Proc IMechE, Part B: J Engineering Manufacture 2013; 227(4): 627–630.

25.

Tang

, et al. A systematic top–down approach for the identification and decomposition of product key characteristics. Proc IMechE, Part B: J Engineering Manufacture 2014; 228(10): 1305–1313.

26.

Liu

Wang

, et al. Tolerance analysis of over-constrained assembly considering gravity influence: constraints of multiple planar hole-pin-hole pairs. Math Probl Eng 2018; 2018: 1–18.

27.

Liu

Wang

, et al. Assembly variation analysis of aircraft panels under part-to-part locating scheme. Int J Aerosp Eng 2019; 2019: 1–15.

28.

Huo

Wang

. Assembly variation analysis of the aircraft panel in multi-stage assembly process with N-2-1 locating scheme. Proc IMechE, Part C: J Mechanical Engineering Science 2019; 233(19-20): 6754–6773.

Assembly deviation analysis of satellite flexible parts integrating rigid and flexible properties: Modeling and experiment

Abstract

Keywords

Get full access to this article

References