Assembly auxiliary system for narrow cabins of spacecraft

详细信息    查看全文

• 作者：Yi Liu ; Shiqi Li ; Junfeng Wang
• 关键词：assembly planning ; hierarchical ; classification ; ant colony algorithm ; augmented reality ; visual inspection
• 刊名：Chinese Journal of Mechanical Engineering
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：28
• 期：5
• 页码：1080-1088
• 全文大小：2,105 KB
• 参考文献：[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鈥?55.MathSciNet CrossRef
  [2]WANG Y, LIU J H. Chaotic particle swarm optimization for assembly sequence planning[J]. Robotics and Computer-Integrated Manufacturing, 2010, 26(2): 212鈥?22.MATH CrossRef
  [3]SETH A, VANCE J M, OLIVER J H. Virtual reality for assembly methods prototyping: a review[J]. Virtual Reality, 2011, 15(1): 5鈥?0.CrossRef
  [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鈥?03.CrossRef
  [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鈥?57.MATH CrossRef
  [6]CARMIGNIANI J, FURHT B, ANISETTI M, et al. Augmented reality technologies, systems and applications[J]. Multimedia Tools and Applications, 2011, 51(1): 341鈥?77.CrossRef
  [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鈥?88.CrossRef
  [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鈥?2): 1175鈥?184.CrossRef
  [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鈥?0.CrossRef
  [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鈥?06.CrossRef
  [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鈥?33.CrossRef
  [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鈥?7.CrossRef
  [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鈥?32.
  [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鈥?0.
  [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鈥?.CrossRef
  [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鈥?767.MATH CrossRef
  [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鈥?09.CrossRef
  [18]AN Yuxin. Modeling production planning system of BOM-based of discrete manufacture enterprise[C]//Control and Decision Conference, 2009. CCDC鈥?09, Guilin, China, 2009: 2740鈥?744.CrossRef
  [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鈥?): 715鈥?24.CrossRef
  [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鈥?2): 1137鈥?143.CrossRef
  [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鈥?63.CrossRef
  [22]CANNY J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986 (6): 679鈥?98.
  [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鈥?01.
  
• 作者单位：Yi Liu (1) (2)
  Shiqi Li (1)
  Junfeng Wang (1)
  
  1. School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
  2. CSR Zhuzhou Electric Locomotive Co., Ltd., Zhuzhou, 412001, China
  
• 刊物主题：Mechanical Engineering; Theoretical and Applied Mechanics; Manufacturing, Machines, Tools; Engineering Thermodynamics, Heat and Mass Transfer; Power Electronics, Electrical Machines and Networks; Electronics and Microelectronics, Instrumentation;
• 出版者：Springer Berlin Heidelberg
• ISSN：2192-8258

文摘

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. Keywords assembly planning hierarchical-classification ant colony algorithm augmented reality visual inspection