Sensor placement strategy for fixture variation diagnosis of compliant sheet metal assembly process

Purpose – The purpose of this paper is to focus on optimal sensor placement for the fixture variation diagnosis of compliant sheet metal assembly process. Fixture variations are the main sources for complex automotive body dimensional failures. An effective measurement strategy can help exactly and timely diagnose these fixture variations. Research on sensor placement strategy of compliant sheet metal assembly process is not much stated formerly.Design/methodology/approach – The impact principle of fixture variations is analyzed to set up the relationship between the assembly variation and fixture variations applying the method of influence coefficients and the effective independence (EI) method is used to find the optimal sensor positions based on the impact principle analysis of fixture variations.Findings – The obtained fixture variation sensitivity matrix describes the influence of fixture variations to compliant sheet metal assembly variation and can be used for diagnosing fixture variations. The EI ...

[1]  Daniel W. Apley,et al.  Diagnosis of Multiple Fixture Faults in Panel Assembly , 1996, Manufacturing Science and Engineering.

[2]  Jaime A. Camelio,et al.  Sensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts , 2005 .

[3]  Michele Meo,et al.  On the optimal sensor placement techniques for a bridge structure , 2005 .

[4]  Darek Ceglarek,et al.  Sensor optimization for fault diagnosis in single fixture systems : A methodology , 1999 .

[5]  Yufeng Long Variation simulation for compliant sheet metal assemblies with applications , 2000 .

[6]  Darek Ceglarek,et al.  Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition , 1996 .

[7]  Darek Ceglarek,et al.  Sensor Optimization for Fault Diagnosis in Multi-Fixture Assembly Systems With Distributed Sensing , 2000 .

[8]  Sun Jin,et al.  Modeling and analysis of compliant sheet metal assembly variation , 2008 .

[9]  Jaime A. Camelio,et al.  Multiple Fault Diagnosis for Sheet Metal Fixtures Using Designated Component Analysis , 2004 .

[10]  Robert H. Tolson,et al.  Maximizing the determinant of the information matrix with the effective independence method , 1992 .

[11]  Michael L. Tinker,et al.  Optimal placement of triaxial accelerometers for modal vibration tests , 2002 .

[12]  Darek Ceglarek,et al.  Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies , 1998, Manufacturing Science and Engineering.

[13]  Yang Liu,et al.  Assembly Fixture Fault Diagnosis Using Designated Component Analysis , 2005 .

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

[15]  Yu Ding,et al.  Optimal sensor distribution for variation diagnosis in multistation assembly processes , 2003, IEEE Trans. Robotics Autom..

[16]  Zhenyu Kong,et al.  Multiple Fault Diagnosis Method in Multistation Assembly Processes Using Orthogonal Diagonalization Analysis , 2008 .

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