Abstract
Riveting is an important interference-fit joining technology, which has been widely applied in aircraft assembly and many manufacturing fields. The rivet head flushness is an import industrial standard for the quality evaluation of a riveted joint. It would influence the aerodynamic performance of aircraft if not carefully controlled. In this paper, a finite element model (FEM) of automatic countersunk riveting is established and the formation of rivet head flushness is studied by the simulation results. Then, based on the coordinated motion of the riveting bar and the anvil tool, several compensation strategies are proposed to reduce the rivet head flushness and ensure the riveting quality, in which the riveting bar and anvil tool feed with the same speed (RASS) strategy is considered as the most efficient one. Finally, riveting experiments are conducted on a dual-machine-based automatic drilling and riveting system. The experimental results indicate that the simulation result is accurate, and the RASS compensation strategy is applicable and effective. This paper studies the formation mechanism and compensation method of the rivet head flushness for the countersunk rivet and provides scientific guidance for the riveting process optimization in engineering applications.
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References
Cheraghi SH (2008) Effect of variations in the riveting process on the quality of riveted joints. Int J Adv Manuf Technol 39:1144–1155. https://doi.org/10.1007/s00170-007-1291-6
Lei C, Bi Y, Li J, Ke Y (2018) Experiment and numerical simulations of a slug rivet installation process based on different modeling methods. Int J Adv Manuf Technol 97:1481–1496. https://doi.org/10.1007/s00170-018-1990-1
Stansbury EC, Bigoney B, Allen R (2013) E7000 high-speed CNC fuselage riveting cell. SAE Int J Mater Manuf 7:37–44. https://doi.org/10.4271/2013-01-2150
Remley D, Rediger J, Haworth P, Holden R (2009) Slug rivet machine installs 16 rivets per minute drill-rivet-shave. SAE Tech Pap. https://doi.org/10.4271/2009-01-3155
Zhang K, Cheng H, Li Y (2011) Riveting process modeling and simulating for deformation analysis of aircraft’s thin-walled sheet-metal parts. Chin J Aeronaut 24:369–377. https://doi.org/10.1016/S1000-9361(11)60044-7
Chang Z (2018) Prediction of riveting deformation for thin-walled structures using local-global finite element approach. Int J Adv Manuf Technol 97:2529–2544. https://doi.org/10.1007/s00170-018-2050-6
Müller RPG (1995) An experimental and analytical investigation on the fatigue behaviour of fuselage riveted lap joints
Aman F, Cheraghi SH, Krishnan KK, 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. Int J Adv Manuf Technol 67:545–562. https://doi.org/10.1007/s00170-012-4504-6
Yu H, Zheng B, Xu X, Lai X (2019) Residual stress and fatigue behavior of riveted lap joints with various riveting sequences, rivet patterns, and pitches. Proc Inst Mech Eng B J Eng Manuf 095440541983448:2306–2319. https://doi.org/10.1177/0954405419834481
Ni J, Tang WC, Xing Y (2017) Performance of reducing the dimensional error of an assembly by the rivet upsetting direction optimization. Proc Inst Mech Eng B J Eng Manuf 231:2133–2144. https://doi.org/10.1177/0954405415625918
Jallouli I, Krichen A, Bougharriou A, Saï K (2011) Finite element analysis of countersinking process. Int J Adv Manuf Technol 55:641–648. https://doi.org/10.1007/s00170-010-3090-8
Atre AP, Johnson WS (2007) Analysis of the effects of interference and sealant on riveted lap joints. J Aircr 44:353–364. https://doi.org/10.2514/1.18320
Li G, Shi G, Bellinger NC (2006) Studies of residual stress in single-row countersunk riveted lap joints. J Aircr 43:592–599. https://doi.org/10.2514/1.18128
Zhao D (n.d.) An efficient error compensation method for coordinated CNC five-axis machine tools. 123:23–115
Jiang J, Bian C, Bi Y, Ke Y (2019) A new type of inner-side working head for automatic drilling and riveting system. Assem Autom 39:154–164. https://doi.org/10.1108/AA-09-2017-107
Liu J, Li H, Bi Y, Dong H, Ke Y (2019) Influence of the deformation of riveting-side working head on riveting quality. Int J Adv Manuf Technol 102:4137–4151. https://doi.org/10.1007/s00170-019-03504-9
Qi Z, Yan Q, Wang M, Chen W, Tian W (2019) Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation. Int J Adv Manuf Technol 104:1303–1310. https://doi.org/10.1007/s00170-019-04146-7
Zeng Y, Tian W, Li D, He X, Liao W (2017) An error-similarity-based robot positional accuracy improvement method for a robotic drilling and riveting system. Int J Adv Manuf Technol 88:2745–2755. https://doi.org/10.1007/s00170-016-8975-8
Huan H, Cheng L, Ke Y (2016) Dynamic modeling and sensitivity analysis of dual-robot pneumatic riveting system for fuselage panel assembly. Ind Robot Int J 43:221–230. https://doi.org/10.1108/IR-04-2015-0063
Zhao YM, Lin Y, Xi F, Guo S, Ouyang P (2017) Switch-based sliding mode control for position-based visual servoing of robotic riveting system. J Manuf Sci Eng 139. https://doi.org/10.1115/1.4034681
Liu Y, Fang Q, Zhao A, Yang F, Wang H, Ke Y (2019) Design of DOB-based riveting force controller for dual-machine horizontal drilling and riveting system. Mechatronics 63:102263. https://doi.org/10.1016/j.mechatronics.2019.102263
Zhang Y, Bi Q, Yu L, Wang Y (2018) Online compensation of force-induced deformation for high-precision riveting machine based on force–displacement data analysis. Int J Adv Manuf Technol 94:941–956. https://doi.org/10.1007/s00170-017-0945-2
Bian C, Jiang J, Ke Y (2019) End stiffness modeling for automatic horizontal dual-machine cooperative drilling and riveting system. Int J Adv Manuf Technol 104:1521–1530
He X, Pearson I, Young K (2008) Self-pierce riveting for sheet materials: state of the art. J Mater Process Technol 199:27–36. https://doi.org/10.1016/j.jmatprotec.2007.10.071
Ma Y, Lou M, Li Y, Lin Z (2018) Effect of rivet and die on self-piercing rivetability of AA6061-T6 and mild steel CR4 of different gauges. J Mater Process Technol 251:282–294. https://doi.org/10.1016/j.jmatprotec.2017.08.020
Derijck J, Homan J, Schijve J, Benedictus R (2007) The driven rivet head dimensions as an indication of the fatigue performance of aircraft lap joints. Int J Fatigue 29:2208–2218. https://doi.org/10.1016/j.ijfatigue.2006.12.010
(1984) “Manual of aircraft riveting assembly process” writing group. Manual of aircraft riveting assembly process. National Defense Industry Press, Beijing
Chen L, Liu Y, Xie L (2007) Power-exponent function model for low-cycle fatigue life prediction and its applications – part II: life prediction of turbine blades under creep–fatigue interaction. Int J Fatigue 29:10–19. https://doi.org/10.1016/j.ijfatigue.2006.03.005
Baha S II, Hesebeck O (2010) Simulation of the solid rivet installation process. SAE Int J Aerosp 3:187–197. https://doi.org/10.4271/2010-01-1843
Editorial Board of Practical Handbook of Engineering materials (2002) Practical Handbook of Engineering materials. Standards Press of China, Beijing
Funding
The work was supported by National Natural Science Foundation of China (No. 51775495, No.51975519), key projects of the National Natural Science Foundation of China (No.91748204), and Youth Funds of the State Key Laboratory of Fluid Power and Mechatronic Systems (Zhejiang University) (No. SKLoFP_QN_1802).
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Liu, J., Zhao, A., Liu, Y. et al. Numerical and experimental investigation on the rivet head flushness in automatic countersunk riveting. Int J Adv Manuf Technol 110, 395–411 (2020). https://doi.org/10.1007/s00170-020-05901-x
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DOI: https://doi.org/10.1007/s00170-020-05901-x