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Journal of Intelligent Manufacturing

Erschienen in:

07.06.2015

Assembly process optimization for reducing the dimensional error of antenna assembly with abundant rivets

verfasst von: Jun Ni, Wen Cheng Tang, Yan Xing

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 1/2018

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Abstract

This paper proposes a process optimization method to improve the dimensional precision of riveted assemblies. The method representation and investigation use an assembly with 1093 rivets yielded from the double curved reflector. Firstly the static and dynamic finite element (FE) models respectively represent the global large-scale assembly and the local riveting process. The dimensional precision is denoted by the root mean square (RMS) of the deformations of the key points selected from the static FE nodes. Then the quantitation between RMS and process parameters equates to the iterative static FE analyses interpolating the dynamic FE analysis result and the possible former static FE analysis result. Finally the integration of the genetic and ant colony algorithms optimizes the process parameters, i.e. the rivet upsetting directions (UDs) and the assembly sequence (AS). Investigation indicates (1) both the rivet UDs and AS are the main RMS influence factors; (2) the proposed method can efficiently optimize the specific process parameters for the large-scale assembly with abundant rivets; and (3) the effective optimization prefers to solve rivet UDs and AS step by step.

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The exported nodal deformations represent the influence of current riveting to the next riveting.

k represents the maximum number of the already assembled corner.

“Rigid link” and “Add” operations in red dashed block of Fig. 5 are forbidden, and “Load” operation is applied to all the corners. Thus k in Fig. 5 is out of use, and the integrated FE analysis codes for the dimensional analysis (red dashed block in Fig. 6) are reduced into one FE analysis.

Agnetis, A., & Macchiaroli, R. (1998). Modelling and optimization of the assembly process in a flexible cell for aircraft panel manufacturing. International Journal of Production Research, 36(3), 815–836.CrossRef

Aman, F., Cheraghi, S. H., Krishnan, K. K., & Lankarani, H. (2013). Study of the impact of riveting sequence, rivet pitch, and gap between sheets on the quality of riveted lap joints using finite element method. The International Journal of Advanced Manufacturing Technology, 67, 545–562.CrossRef

Blanchot, V., & Daidie, A. (2006). Riveted assembly modeling: Study and numerical characterisation of a riveting process. Journal of Materials Processing Technology, 180(1–3), 201–209.CrossRef

Butterfield, J., Crosby, S., Curran, R., Price, M., Armstrong, C. G., Raghunathan, S., et al. (2007). Optimization of aircraft fuselage assembly process using digital manufacturing. Journal of Computing and Information Science in Engineering, 7, 269–275.CrossRef

Cai, W. (2008). A new tolerance modeling and analysis methodology through a two-step linearization with applications in automotive body assembly. Journal of Manufacturing Systems, 27(1), 26–35.CrossRef

Cai, W., Wang, P., & Yang, W. (2005). Assembly dimensional prediction for self-piercing riveted aluminum panels. International Journal of Machine Tools & Manufacture, 45, 695–704.CrossRef

Ceglarek, D., Huang, W., Zhou, S., Ding, Y., Ramesh, K., & Zhou, Y. (2004). Time-based competition in manufacturing: Stream-of variation analysis (SOVA) methodology-review. International Journal of Flexible Manufacturing Systems, 16(1), 11–44.CrossRef

Chase, K. W., & Greenwood, W. H. (1988). Design issues in mechanical tolerance analysis. ASME Manufacturing Review, 1(1), 50–59.

Chen, Z., Vulliez, K., Ferlay, F., Martinez, A., Mollard, P., Hillairet, J., et al. (2015). Design and optimization of the WEST ICRH antenna front face components based on thermal and hydraulic analysis. Fusion Engineering and Design, 94, 82–89.

Chen, C. L. P. (1992). Design of a real-time AND/OR assembly scheduler on an optimization neural network. Jounrnal of Intelligent Manufacturing, 3, 251–261.CrossRef

Cheng, H., Li, Y., Zhang, K., Mu, W., & Liu, B. (2011). Variation modeling of aeronautical thin-walled structures with multi-state riveting. Journal of Manufacturing Systems, 30(2), 101–115.CrossRef

Cowper, G., & Symonds, P. (1957). Strain hardening and strain-rate effects in the impact loading of cantilever beams. Technical Report, Brown University Division of Applied Mathematics.

Dhaliwal, B. S., & Pattnaik, S. S. (2015). Performance comparison of bio-inspired optimization algorithms for Sierpinski gasket fractal antenna design. Neural Computing and Applications. doi:10.1007/s00521-015-1879-y.

Du, J., Bao, H., & Cui, C. (2014). Shape adjustment of cable mesh reflector antennas considering modeling uncertainties. Acta Astronautica, 97, 164–171.CrossRef

Du, J., Zong, Y., & Bao, H. (2013). Shape adjustment of cable mesh antennas using sequential quadratic programming. Aerospace Science and Technology, 30, 26–32.CrossRef

Estler, W. T., Edmundson, K. L., Peggs, G. N., & Parker, D. H. (2002). Large-scale metrology—An update. CIRP Annals Manufacturing Technology, 51(2), 587–609.CrossRef

Huang, C. Y., & Huang, H. H. (2014). Process optimization of SnCuNi soldering material using artificial parametric design. Jounrnal of Intelligent Manufacturing, 25, 813–823.CrossRef

Huang, W., & Kong, Z. (2008). Simulation and integration of geometric and rigid body kinematics errors for assembly variation analysis. Journal of Manufacturing Systems, 27(1), 36–44.CrossRef

Huang, W., Lin, J., Bezdecny, M. R., Kong, Z., & Ceglarek, D. (2007). Stream-of-variation modeling I: A generic 3D variation model for rigid body assembly in single station assembly processes. Journal of Manufacturing Science and Engineering-Transactions of the ASME, 129(4), 821–831.CrossRef

Jiménez, P. (2013). Surney on assembly sequencing: A combinationrial and geometrical perspective. Jounrnal of Intelligent Manufacturing, 24, 235–250.CrossRef

Lee, S., & Park, J. (1991). Neural computation for collision-free path planning. Jounrnal of Intelligent Manufacturing, 2, 315–326.CrossRef

Lin, T. W., & Wang, C. H. (2012). A hybrid genetic algorithm to minimize the periodic preventive maintenance cost in a series-parallel system. Jounrnal of Intelligent Manufacturing, 23, 1225–1236.CrossRef

Liu, Y. S., He, X. D., Shao, X. J., Liu, J., & Yue, Z. F. (2010). Analytical and experimental investigation of fatigue and fracture behaviors for anti-double dog-bone riveted joints. Engineering Failure Analysis, 17(6), 1447–1456.CrossRef

Manes, A., Giglio, M., & Viganò, F. (2011). Effect of riveting process parameters on the local stress field of a T-joint. International Journal of Mechanical Sciences, 53, 1039–1049.CrossRef

Masters, I., Fan, X., Roy, R., & Williams, D. (2011). Modelling distortion induced in an assembly by the self piercing rivet process. Proceedings of IMechE Part B Journal of Engineering Manufacture, 226, 300–312.CrossRef

Ni, J., Tang, W., & Xing, Y. (2014b). A local-to-global dimensional error calculation framework for the riveted assembly using finite element analysis. Journal of Manufacturing Science and Engineering-Transactions of the ASME, in review of the revised version.

Ni, J., Wu, X., Zhao, Y., Qiu, X., Tang, W., Xing, Y., et al. (2013b). Method for determining direction of rivet upsetting of metal thin-wall riveting assembly involves utilizing discrete space optimization algorithm to minimize assembly deformation index. Chinese Patent CN103272982-A, filed May 16.

Ni, J., Tang, W., & Xing, Y. (2013a). A simple algebra for fault tree analysis of static and dynamic systems. IEEE Transactions on Reliability, 62(4), 846–861.CrossRef

Ni, J., Tang, W., & Xing, Y. (2014a). Three-dimensional precision analysis with rigid and compliant motions for sheet metal assembly. The International Journal of Advanced Manufacturing Technology, 73, 805–819.CrossRef

Ruze, J. (1952). The effect of aperture errors on the antenna radiation pattern. II Nuovo Cimento, 9(3 Supplement), 364–380.CrossRef

Tanaka, H., & Natori, M. C. (2004). Shape control of space antennas consisting of cable networks. Acta Astronautica, 55(3–9), 519–527.CrossRef

Wang, H., & Ceglarek, D. (2009). Variation propagation modeling and analysis at preliminary design phase for multi-station assembly systems. Assembly Automation, 29(2), 154–166.CrossRef

Wang, Y., & Liu, J. H. (2010). Chaotic particle swarm optimization for assembly sequence planning. Robotics and Computer-Integrated Manufacturing, 26, 212–222.CrossRef

Wang, H., Rong, Y., & Xiang, D. (2014). Mechanical assembly planning using ant colony optimization. Computer Aided Design, 47, 59–71.CrossRef

Wang, C. H., & Tsai, S. W. (2014). Optimizing bi-objective imperfect preventive maintenance model for series-parall system using established hybrid genetic algorithm. Jounrnal of Intelligent Manufacturing, 25, 603–616.CrossRef

Xiao, H., Li, Y., Zhang, K., Yu, J., Liu, Z., & Su, J. (2012). Multi-objective optimization method for automatic drilling and riveting sequence planning. Chinese Journal of Aeronautics, 25, 817–824.

Xu, X., & Luo, Y. Z. (2008). Multi-objective shape control of prestressed structures with genetic algorithms. Journal of Aerospace Engineering, 222(8), 1139–1147.

Xu, X., & Luo, Y. Z. (2009). Non-linear displacement control of prestressed cable structures. Journal of Aerospace Engineering, 223(7), 1001–1007.

Xu, L. D., Wang, C., Bi, Z., & Yu, J. (2012). AutoAssem: An automated assembly planning system for complex products. IEEE Transactions on Industrial Informatics, 8(3), 669–678.CrossRef

You, Z. (1997). Displacement control of prestressed structures. Computer Methods in Applied Mechanics and Engineering, 144(1), 51–59.CrossRef

Yousefi, M., Darus, A. N., Yousefi, M., & Hooshyar, D. (2015). Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems. Applied Thermal Engineering, 83, 71–80.CrossRef

Yousefi, M., Yousefi, M., Hooshyar, D., & de Souza Oliveira, J. A. (2015). An evolutionary approach for solving the job shop scheduling problem in a service industry. International Journal of Advances in Intelligent Informatics, 1(1), 1–6.CrossRef

Zacharia, P. T., & Nearchou, A. C. (2012). Multi-objective fuzzy assembly line balancing using genetic algorithms. Jounrnal of Intelligent Manufacturing, 23, 615–627.CrossRef

Zhang, K., Cheng, H., & Li, Y. (2011). Riveting process modeling and simulating for deformation analysis of aircraft’s thin-walled sheet-metal parts. Chinese Journal of Aeronautics, 24(3), 369–377.CrossRef

Titel: Assembly process optimization for reducing the dimensional error of antenna assembly with abundant rivets
verfasst von: Jun Ni
Wen Cheng Tang
Yan Xing
Publikationsdatum: 07.06.2015
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 1/2018
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-015-1105-x

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