Improvement of Variation Propagation Control in Mechanical Assembly Using Adjustment Assembly Technique

Abstract:

This paper aims to provide an assembly method to improve mechanical assembly quality. In order to improve the variation propagation control in rotationally symmetric cylindrical components assembly, the eccentric and tilt errors of a single rotor stage were taken into account using a connective assembly model and the eccentric deviation in a mechanical assembly was minimized by properly selecting component orientations. Compared to the minimum cumulative error, the maximum cumulative error was reduced by 71 percent, and the average cumulative error was reduced by 57 percent in the assembly of three components. This article provides an assembly method through variation propagation control in rotationally symmetric cylindrical components assembly. The method could be extended to rotationally symmetric cylindrical components assembly, for example in the assembly of aero-engine components.

• Periodical: Applied Mechanics and Materials (Volume 870)
• Pages: 459-464
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.870.459
• Online since: September 2017
• Authors: Chuan Zhi Sun, Lei Wang, Jiu Bin Tan*, Bo Zhao, Guo Liang Jin, Xi Ping Zhao
• Keywords: Eccentric and Tilt Errors, Mechanical Assembly, Variation Propagation Control

References

[1] Jayaweera N, Webb P, Johnson C. Measurement assisted robotic assembly of fabricated aero-engine components. Assembly Automation 2010; 30(1); 56–65.

DOI: 10.1108/01445151011016073

[2] Mantripragada R, Whitney DE. Modeling and controlling variation propagation in mechanical assemblies using state transition models. IEEE Trans Robot Autom 1999; 15(1); 124–140.

DOI: 10.1109/70.744608

[3] Ding Y, Ceglarek D, Shi J. Modeling and diagnosis of multistage manufacturing process: Part I–state space model. Proceedings of Japan/USA symposium on flexible automation 2000; 23–26 July, Ann Arbor, Michigan.

[4] Thimm G, Britton GA, Cheong FS. Controlling tolerance stacks for efficient manufacturing. The International Journal of Advanced Manufacturing Technology 2001; 18(1); 44–48.

DOI: 10.1007/s001700170092

[5] Forouraghi B. Worst-case tolerance design and quality assurance via genetic algorithms. Journal of Optimization Theory and Applications 2002; 113(2); 251–268.

DOI: 10.1023/a:1014826824323

[6] Cai M, Yang J, Wu Z. Mathematical model of cylindrical form tolerance. Journal of Zhejiang University Science 2004; 5(7); 890–895.

DOI: 10.1631/jzus.2004.0890

[7] Klocke F, Veselovac D, Auerbach T, Seidner R. Intelligent assembly for aero engine components. 1st International Conference Intelligent Robotics and Applications 2008; 15–17 October, Wuhan, China.

DOI: 10.1007/978-3-540-88518-4_99

[8] Yang Z, Hussain T, Popov AA, McWilliam S. A comparison of different optimization techniques for variation propagation control in mechanical assembly. Proceedings of International Conference on Aerospace manufacturing 2009; 09–10 September, Sheffield, England.

[9] Yang Z, McWilliam S, Popov AA, Hussain T. A probabilistic approach to variation propagation control for straight build in mechanical assembly. The International Journal of Advanced Manufacturing Technology 2013; 64(5–8); 1029–1047.

DOI: 10.1007/s00170-012-4071-x

[10] Whitney DE. Mechanical assemblies. Oxford: Oxford University Press; (2004).