Modeling and analyzing of variation propagation in aeronautical thin-walled structures automated riveting

Purpose – Assembly variations, which will propagate along the assembly process, are inevitable and difficult to analyze in Aeronautical Thin‐Walled Structures (ATWS) assembly. The purpose of this paper is to present a new method for analyzing the variation propagation of ATWS with automated riveting.Design/methodology/approach – The paper addresses the variation propagation model and method by first, forming a novel Stage‐State model to represent the process of automated riveting. Second, the effect of positioning error on assembly variation is defined as propagation variation (PV), and propagation matrix of key characteristic points (KCP) is discussed. Third, the effect between the variations in each stage is defined as expansion variation (EV). According to the analysis of mismatch error and the reference transformation, the expansion matrix is formed.Findings – The model can solve the variation propagation problem of ATWS with automated riveting efficiently, which is shown as an example of this paper.P...

[1]  Jaime A. Camelio,et al.  Modeling Variation Propagation of Multi-Station Assembly Systems With Compliant Parts , 2003 .

[2]  Jionghua Jin,et al.  State Space Modeling of Sheet Metal Assembly for Dimensional Control , 1999 .

[3]  Zhenyu Kong,et al.  Variation Propagation Analysis for Multistation Assembly Process With Consideration of GD&T Factors , 2009 .

[4]  Xiaoyun Liao,et al.  Employing fractals and FEM for detailed variation analysis of non-rigid assemblies , 2005 .

[5]  Zhao Jiali QUALITY STABILITY OF MULTI-STATIONS ASSEMBLY PROCESS BASED ON STREAM OF VARIATION , 2006 .

[6]  Hui Cheng,et al.  Efficient method of positioning error analysis for aeronautical thin-walled structures multi-state riveting , 2011 .

[7]  Xiaoyun Liao,et al.  Wavelets-based method for variation analysis of non-rigid assemblies , 2005 .

[8]  Daniel E. Whitney,et al.  Modeling and controlling variation propagation in mechanical assemblies using state transition models , 1999, IEEE Trans. Robotics Autom..

[9]  Lars Lindkvist,et al.  Variation Simulation of Sheet Metal Assemblies Using the Method of Influence Coefficients With Contact Modeling , 2007 .

[10]  Yoram Koren,et al.  Stream-of-Variation Theory for Automotive Body Assembly , 1997 .

[11]  S. Jack Hu,et al.  Variation simulation for deformable sheet metal assemblies using finite element methods , 1997 .

[12]  S. Hossein Cheraghi,et al.  Effect of variations in the riveting process on the quality of riveted joints , 2008 .

[13]  H. Wang,et al.  A graph-based data structure for assembly dimensional variation control at a preliminary phase of product design , 2009, Int. J. Comput. Integr. Manuf..

[14]  Byeng D. Youn,et al.  Variation Propagation Analysis on Compliant Assemblies Considering Contact Interaction , 2007 .

[15]  Tony L. Schmitz,et al.  Monte Carlo evaluation of periodic error uncertainty , 2007 .

[16]  Xin Jin,et al.  State space model based theory of assembly variation propagation modeling , 2010, 2010 IEEE International Conference on Mechatronics and Automation.

[17]  Philip Webb,et al.  Automated assembly of fuselage skin panels , 2007 .

[18]  Hui Cheng,et al.  Variation modeling of aeronautical thin-walled structures with multi-state riveting , 2011 .

[19]  Jingxia Yuan,et al.  Deformable Sheet Metal Fixturing: Principles, Algorithms, and Simulations , 1996 .

[20]  Dariusz Ceglarek,et al.  Variation propagation modeling and analysis at preliminary design phase of multi‐station assembly systems , 2009 .

[21]  Jian Liu,et al.  State Space Modeling for 3-D Variation Propagation in Rigid-Body Multistage Assembly Processes , 2010, IEEE Transactions on Automation Science and Engineering.

[22]  Mozafar Saadat,et al.  Dimensional variations during Airbus wing assembly , 2002 .

[23]  Zhenyu Kong,et al.  Simulation and integration of geometric and rigid body kinematics errors for assembly variation analysis , 2008 .