Skip to main content
Log in

Modeling method for assembly variation propagation taking account of form error

  • Published:
Chinese Journal of Mechanical Engineering Submit manuscript

Abstract

The propagation of variations, such as fixture errors and datum errors resulting from assembly and machining processes, has been extensively studied. However, only a few studies that focus on form error propagation in assembly systems have been implemented. Machining errors, especially form errors, have great impact on assembly accuracy and accuracy stability of precision mechanical systems. With form errors being the research object, a method for calculating mating variation and specifying mating coordinate is proposed to improve the accuracy of the variation propagation model. Taking into account the form error of mating surfaces, the assembly variation propagation of a precision mechanical system is analyzed, and the brief derivation procedure of the variation propagation model is introduced afterwards. The variation propagation model involves a new concept of mating variation specified by the two mating surfaces. An innovative method, the difference surface search based method, is proposed to calculate the mating variation amongst the mating surfaces. The obtained mating variation is then utilized to specify the mating coordinate in the variation propagation model. Moreover, FEM is employed to simulate the contact state of the two mating surfaces to demonstrate effectiveness of the proposed method. Meanwhile, the mating variation and mating coordinate obtained are incorporated into the assembly variation propagation model, which is then verified by a following case study through a comparison between the calculated results and the experimental results. The comparing results indicate that the established model improves the prediction of assembly accuracy. The developed model enables the investigation of various fundamental issues in variation reduction, including variation analysis, process monitoring, accuracy prediction, and accuracy control.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. LAWLESS J, MACKAY R, ROBINSON J. Analysis of variation transmission in manufacturing processes-Part I[J]. Journal of Quality Technology, 1999, 31(2): 131–142.

    Google Scholar 

  2. AGRAWAL R, LAWLESS, J F, MACKAY R J. Analysis of variation transmission in manufacturing processes-Part II[J]. Journal of Quality Technology, 1999, 31(2): 143–154.

    Google Scholar 

  3. MANTRIPRAGADA R, WHITNEY D E. The datum flow chain: A systematic approach to assembly design and modeling[J]. Research in Engineering Design, 1998, 10(3): 150–165.

    Article  Google Scholar 

  4. MANTRIPRAGADA R, WHITNEY D E. Modeling and controlling variation propagation in mechanical assemblies using state transition models[J] IEEE Transactions on Robotics and Automation, 1999, 15(1): 124–140.

    Article  Google Scholar 

  5. JIN Jionghua, SHI Jianjun. State space modeling of sheet metal assembly for dimensional control[J]. Journal of Manufacturing Science and Engineering, 1999, 121(4): 756–762.

    Article  Google Scholar 

  6. HUANG Qiang, SHI Jianjun, YUAN Jingxia. Part Dimensional Error and Its Propagation Modeling in Multi-Operational Machining Processes[J]. Journal of Manufacturing Science and Engineering, 2003, 125(2): 255–262.

    Article  Google Scholar 

  7. ZHOU Shiyu, HUANG Qiang, SHI Jianjun. State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors[J]. IEEE Transactions on Robotics and Automation, 2003, 19(2): 296–309.

    Article  Google Scholar 

  8. HUANG Wenzhen, LIN Jinjun, KONG Zhenyu, et al. Stream-of-variation (SOVA) modeling II: A generic 3D variation model for rigid body assembly in multi station assembly processes[J]. Journal of Manufacturing Science and Engineering, 2007, 129(4): 832–842.

    Article  Google Scholar 

  9. LOOSE J P, ZHOU Shiyu, CEGLARKE D. Kinematic analysis of dimensional variation propagation for multistage machining processes with general fixture layouts[J]. IEEE Transactions on Automation Science and Engineering, 2007, 4(2): 141–152.

    Article  Google Scholar 

  10. XI Lifeng, DU Shichang. State space modeling of dimensional machining errors of serial-parallel hybrid multi-stage machining system[J]. Chinese Journal of Mechanical Engineering, 2007, 20(5): 64–67.

    Article  Google Scholar 

  11. LIU Jian. System-level quality planning and diagnosis for complex multistage manufacturing processes[D]. Ann Arbor, MI: University of Michigan, 2008.

    Google Scholar 

  12. ZHANG Faping, LU Jiping, TANG Shuiyuan, et al. Locating error considering dimensional errors modeling for multistation manufacturing system[J]. Chinese Journal of Mechanical Engineering, 2010, 23(6): 765–743.

    Article  Google Scholar 

  13. SANGNUI S, PETERS F. The impact of surface errors on the location and orientation of a cylindrical workpiece in a fixture[J]. Journal of Manufacturing Science and Engineering, 2001, 123(2): 325–330.

    Article  Google Scholar 

  14. LEE N K S, YU G, JONEJA A, et al. The modeling and analysis of a butting assembly in the presence of workpiece surface roughness and part dimensional error[J]. The International Journal of Advanced Manufacturing Technology, 2006, 31(5): 528–538.

    Article  Google Scholar 

  15. SAMPER S, ADRAGNA P A, FAVELIERE H, et al. Modeling of 2D and 3D assemblies taking into account form errors of plane surfaces[J]. Journal of Computing and Information Science in Engineering, 2009, 9(4): 041 005–041 016.

    Article  Google Scholar 

  16. ZUO Fuchang, ZHANG Zhijing, JIN Xin, et al. State space model based theory of assembly variation propagation modeling[C]// Proceedings of the 2010 IEEE International Conference on Mechatronics and Automation, Xi’an, China, August 4–7, 2010: 589–594.

    Chapter  Google Scholar 

  17. JIANG Xiangqian. International standard system of geometrical product specification[J]. Chinese Journal of Mechanical Engineering, 2004, 40(12): 133–138. (in Chinese)

    Article  Google Scholar 

  18. WIRTZ A, GACHTER C, WIPF D. From unambiguously defined geometry to the perfect quality control loop[J]. CIRP Ann. Manufacturing Technology, 1993, 42(1): 615–618.

    Article  Google Scholar 

  19. YAU H Z. Evaluation and uncertainty analysis of vectorial tolerances[J]. Precision Engineering, 1997, 20(2): 123–137.

    Article  Google Scholar 

  20. HE Boxia, ZHANG Zhisheng, DAI Min, et al. Theory of modeling variation propagation of mechanical assembly processes[J]. Chinese Journal of Mechanical Engineering, 2008, 44(12): 62–68. (in Chinese)

    Article  Google Scholar 

  21. SAMPER S, FORMASA F. Form defects tolerancing by natural modes analysis[J]. Journal of Computing and Information Science in Engineering, 2007, 7(1): 44–51.

    Article  Google Scholar 

  22. JARUSEK J, ECK C. Dynamic contact problems with small Coulomb friction for viscoelastic bodies: existence of solution[J]. Mathematical Models and Methods in Applied Sciences, 1997, 9(1): 11–34.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xin Jin.

Additional information

This project is supported by National Natural Science Foundation of China (Grant No. 51075035), National Major Scientific Instruments and Equipments Special Project of China (Grant No. 51127004), and National Natural Science Foundation of China (Grant No. 51105036)

ZUO Fuchang, born in 1983, is currently a PhD candidate at School of Mechanical Engineering, Beijing Institute of Technology, China. He received his bachelor degree from China Agricultural University, China, in 2007. His research interests include variation propagation, assembly accuracy prediction and control.

JIN Xin, born in 1971, is currently an associate professor and a master candidate supervisor at School of Mechanical Engineering, Beijing Institute of Technology, China. Her main research interests include micro machining and related fields.

ZHANG Zhijing, born in 1951, is currently a professor and a PhD candidate supervisor at School of Mechanical Engineering, Beijing Institute of Technology, China. His main research interests include precision machining, micro machining, micro measuring and micro assembly.

ZHANG Tingyu, born in 1987, is currently a PhD candidate at School of Mechanical Engineering, Beijing Institute of Technology, China.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zuo, F., Jin, X., Zhang, Z. et al. Modeling method for assembly variation propagation taking account of form error. Chin. J. Mech. Eng. 26, 641–650 (2013). https://doi.org/10.3901/CJME.2013.04.641

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3901/CJME.2013.04.641

Key words

Navigation