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Assembly auxiliary system for narrow cabins of spacecraft

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Abstract

Due to the narrow space and complex structure of spacecraft cabin, the existing asssembly systems can not well suit for the assembly process of cabin products. This paper aims to introduce an assembly auxiliary system for cabin products. A hierarchical-classification method is proposed to re-adjust the initial assembly relationship of cabin into a new hierarchical structure for efficient assembly planning. An improved ant colony algorithm based on three assembly principles is established for searching a optimizational assembly sequence of cabin parts. A mixed reality assembly environment is constructed with enhanced information to promote interaction efficiency of assembly training and guidance. Based on the machine vision technology, the inspection of left redundant objects and measurement of parts distance in inner cabin are efficiently performed. The proposed system has been applied to the assembly work of a spacecraft cabin with 107 parts, which includes cabin assembly planning, assembly training and assembly quality inspection. The application result indicates that the proposed system can be an effective assistant tool to cabin assembly works and provide an intuitive and real assembly experience for workers. This paper presents an assembly auxiliary system for spacecraft cabin products, which can provide technical support to the spacecraft cabin assembly industry.

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References

  1. ZHANG K F, CHENG H, LI Y. Multi-objective harmonious colony-decision algorithm for more efficiently evaluating assembly sequences[J]. Assembly Automation, 2008, 28(4): 348–355.

    Article  MathSciNet  Google Scholar 

  2. WANG Y, LIU J H. Chaotic particle swarm optimization for assembly sequence planning[J]. Robotics and Computer-Integrated Manufacturing, 2010, 26(2): 212–222.

    Article  MATH  Google Scholar 

  3. SETH A, VANCE J M, OLIVER J H. Virtual reality for assembly methods prototyping: a review[J]. Virtual Reality, 2011, 15(1): 5–20.

    Article  Google Scholar 

  4. GOMES D S A, ZACHMANN G. Virtual reality as a tool for verification of assembly and maintenance processes[J]. Computers & Graphics, 1999, 23(3): 389–403.

    Article  Google Scholar 

  5. ZHANG Zhixian, LIU Jianhua, NING Ruxin. Kinematics analysis of mechanisms based on virtual assembly[J]. Chinese Journal of Mechanical Engineering, 2010, 23(6): 748–757.

    Article  MATH  Google Scholar 

  6. CARMIGNIANI J, FURHT B, ANISETTI M, et al. Augmented reality technologies, systems and applications[J]. Multimedia Tools and Applications, 2011, 51(1): 341–377.

    Article  Google Scholar 

  7. SANDERS D, TAN Y C, ROGERS I, et al. An expert system for automatic design-for-assembly[J]. Assembly Automation, 2009, 29(4): 378–388.

    Article  Google Scholar 

  8. GAO L, QIAN W R, LI X Y, WANG J F. Application of memetic algorithm in assembly sequence planning[J]. The International Journal of Advanced Manufacturing Technology, 2010, 49(9–12): 1175–1184.

    Article  Google Scholar 

  9. JAYARAM S, JAYARAM U, WANG Y, et al. VADE: a virtual assembly design environment[J]. IEEE Computer Graphics and Applications, 1999, 19(6): 44–50.

    Article  Google Scholar 

  10. BROUGH J E, SCHWARTZ M, GUPTA S K, et al. Towards the development of a virtual environment-based training system for mechanical assembly operations[J]. Virtual Reality, 2007, 11(4): 189–206.

    Article  Google Scholar 

  11. Wu D, ZHEN X, FAN X, et al. A virtual environment for complex products collaborative assembly operation simulation[J]. Journal of Intelligent Manufacturing, 2012, 23(3): 821–833.

    Article  Google Scholar 

  12. AZUMA R T, BAILLOT Y, BEHRINGER R, et al. Recent advances in augmented reality[J]. IEEE Computer Graphics and Applications, 2001, 25(6): 34–47.

    Article  Google Scholar 

  13. SCHWALD B, DE L B. An augmented reality system for training and assistance to maintenance in the industrial context[J]. Journal of WSCG, 2003, 1(1): 425–432.

    Google Scholar 

  14. DIDIER J Y, ROUSSEL D, MALLEM M, et al. AMRA: augmented reality assistance in train maintenance tasks[C]//4th ACM/IEEE International Symposium on Mixed and Augmented Reality, Vienna, Austria, 2005: 1–10.

    Google Scholar 

  15. ONG S K, WANG Z B. Augmented assembly technologies based on 3D bare-hand interaction[J]. CIRP Annals-Manufacturing Technology, 2011, 60(1): 1–4.

    Article  Google Scholar 

  16. YUAN M L, ONG S K, NEE A Y C. Augmented reality for assembly guidance using a virtual interactive tool[J]. International Journal of Production Research, 2008, 46(7): 1745–1767.

    Article  MATH  Google Scholar 

  17. LI Shiqi, PENG Tao, WANG Junfeng, et al. Mixed reality-based interactive technology for aircraft cabin assembly[J]. Chinese Journal of Mechanical Engineering, 2009, 22(3): 403–409.

    Article  Google Scholar 

  18. AN Yuxin. Modeling production planning system of BOM-based of discrete manufacture enterprise[C]//Control and Decision Conference, 2009. CCDC’ 09, Guilin, China, 2009: 2740–2744.

    Chapter  Google Scholar 

  19. ZHOU Wei, ZHENG Jianrong, YAN Jianjun, et al. A novel hybrid algorithm for assembly sequence planning combining bacterial chemotaxis with genetic algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2011, 52(5–8): 715–724.

    Article  Google Scholar 

  20. WANG J F, LIU J H, ZHONG Y F. A novel ant colony algorithm for assembly sequence planning[J]. The International Journal of Advanced Manufacturing Technology, 2005, 25(11–12): 1137–1143.

    Article  Google Scholar 

  21. HUTTENLOCHER D P, KLANDERMAN G A, RUCKLIDGE W J. Comparing images using the Hausdorff distance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(9): 850–863.

    Article  Google Scholar 

  22. CANNY J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986 (6): 679–698.

    Google Scholar 

  23. TABATABAI A J, MITCHELL O R. Edge location to subpixel values in digital imagery[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984(2): 188–201.

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Authors and Affiliations

  1. School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Yi Liu, Shiqi Li & Junfeng Wang

  2. CSR Zhuzhou Electric Locomotive Co., Ltd., Zhuzhou, 412001, China

    Yi Liu

Authors
  1. Yi Liu
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  2. Shiqi Li
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  3. Junfeng Wang
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Corresponding author

Correspondence to Junfeng Wang.

Additional information

Supported by National Basic Research Project of China for the 12th Five-year Plan

LIU Yi, born in 1985, is currently a post doctoral research fellow at CSR Zhuzhou Electric Locomotive Co., Ltd. and Huazhong University of Science and Technology, China. He received his PhD degree from School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China, in 2014.

LI Shiqi, born in 1965, is currently a professor at School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China. He received his PhD degree from School of Traffic Science and Engineering, Huazhong University of Science and Technology, China, in 1993. His research interests include advanced manufacturing technology, system simulation, virtual prototype, tele-operation, etc.

WANG Junfeng, born in 1970, is currently an associate professor at School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China. He received his PhD degree from School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China, in 2004. His research interests include virtual design, virtual prototype and green manufacturing.

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Liu, Y., Li, S. & Wang, J. Assembly auxiliary system for narrow cabins of spacecraft. Chin. J. Mech. Eng. 28, 1080–1088 (2015). https://doi.org/10.3901/CJME.2015.0416.044

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  • DOI: https://doi.org/10.3901/CJME.2015.0416.044

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