SUBSTRUCTURE COUPLING WITH JOINT IDENFICATION FOR RECONFIGURABLE MANUFACTURING SYSTEMS

Today’s manufacturing industries require rapid production of small batch sized products with great accuracy and productivity. When compared with traditional dedicated systems, reconfigurable manufacturing systems (RMS) offer rapid change in system configurations, machines and controls to adjust to flexible demands. This can be achieved by combining modular substructures together with different functionalities depending on requirements. In this study, a method of assembling the known dynamics of substructures is investigated through the receptance coupling approach. The classical receptance technique is enhanced by identifying the joint dynamics between substructures through experimental and finite element (FE) analyses. This identification method also includes the translational and rotational degrees of freedom responses, which represent the mass, spring, and damping elements of the joint. The determination of rotational responses can be very challenging, and the proposed method solves the rotational responses with two separate experimental measurements using gauge tools. This novel identification method overcomes the limitations posed by other identification methods, by minimizing numerical errors and problems associated with convergence. Experimental tests, using a fastener joint, were performed to verify the effectiveness of the joint identification method.

[1]  Tony L. Schmitz,et al.  Tool Point Frequency Response Prediction for High-Speed Machining by RCSA , 2001 .

[2]  Jon Rigelsford,et al.  Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design , 2004 .

[3]  M. Campomanes,et al.  Dynamics of milling flexible structures , 1998 .

[4]  Yusuf Altintas,et al.  Receptance coupling for end mills , 2003 .

[5]  F. Musharavati RECONFIGURABLE MANUFACTURING SYSTEMS , 2010 .

[6]  S. C. Chuang,et al.  Reducing errors in the identification of structural joint parameters using error functions , 2004 .

[7]  Sungho Jeong,et al.  Effect of joint conditions on the dynamic behavior of a grinding wheel spindle , 2001 .

[8]  A. G. U Lso,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000 .

[9]  Paul Sas,et al.  A Method for Identifying Parameters of Mechanical Joints , 1990 .

[10]  Y. Songa,et al.  Simulation of dynamics of beam structures with bolted joints using adjusted Iwan beam elements , 2004 .

[11]  Jiangang Shen,et al.  Hysteresis model of bolted-angle connections , 2000 .

[12]  Yoram Koren,et al.  Reconfigurable machine tools , 2001 .

[13]  Michael Hanss,et al.  Identification of a bolted-joint model with fuzzy parameters loaded normal to the contact interface , 2002 .

[14]  M J.E. GEOMETRIC PARAMETERS FOR FINITE ELEMENT MODEL UPDATING OF JOINTS AND CONSTRAINTS , .

[15]  S. R. S. Kalpakjian Manufacturing Processes for Engineering Materials , 1984 .

[16]  MA X. IDENTIFICATION OF BOLTED JOINTS THROUGH LASER VIBROMETRY , 2001 .