Fixture layout design based on two-stage method for sheet metal components

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 227, Issue 1, 2013, Pages 162-172

  Xing, Yanfeng ^a   Wang, Yansong ^a  

^a SHANGHAI UNIVERSITY OF ENGINEERING SCIENCE   (China)

Author keywords

Fixture design; particle swarm optimization; radial basis function; two stage method

Indexed keywords

FIXTURE DESIGN; PREDICTION ACCURACY; RADIAL BASIS FUNCTIONS; RESPONSE SURFACE MODELING; SHEET METAL COMPONENTS; SHEET METAL PARTS; SIMULATION EFFECTS; TWO-STAGE METHODS;

DESIGN; FINITE ELEMENT METHOD; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS;

FIXTURES (TOOLING);

EID: 84875887658     PISSN: 09544054     EISSN: 20412975     Source Type: Journal    
DOI: 10.1177/0954405412463132     Document Type: Article

References (21)

1. Ceglarek D, Shi J. Dimensional variation reduction for automotive body assembly. Manuf Rev. 1995 ; 8 (2). 139-154
2. Rong Y, Huang SH, Hou Z Advanced computer-aided fixture design. New York: Elsevier Academic ; 2005 :
3. Kim P, Ding Y. Optimal design of fixture layout in multistation assembly processes. IEEE T Autom Sci Eng. 2004 ; 1 (2). 133-145
4. Wang MY. An optimum design for 3-D fixture synthesis in a point set domain. IEEE T Robotic Autom. 2000 ; 16 (6). 839-846
5. Wang MY, Pelinescu DM. Optimizing fixture layout in a point-set domain. IEEE T Robotic Autom. 2001 ; 17 (3). 312-323
6. Cai W, Hu SJ, Yuan JX. Deformable sheet metal fixturing: principles, algorithms and simulations. J Manuf Sci E: T ASME. 1996 ; 118 (3). 318-324
7. Carlson JS, Söderberg R. Quadratic sensitivity analysis of fixtures and locating schemes for rigid parts. J Manuf Sci E: T ASME. 2001 ; 123 (3). 462-472
8. Qin G, Zhang W, Wu Z, et al. Systematic modeling of workpiece-fixture geometric default and compliance for the prediction of workpiece machining error. J Manuf Sci E: T ASME. 2007 ; 129 (4). 789-801
9. Lööf J, Lindkvist L, Söderberg R. Optimizing locator position to maximize robustness in critical product dimensions. ASME 2009 international design engineering technical conferences and computers and information in engineering conference, American Society of Mechanical Engineers, San Diego, CA, 30 August-2 September 2009.
10. Vishnupriyan S, Majumder MC, Ramachandran KP. Optimization of machining fixture layout for tolerance requirements under the influence of locating errors. Int J Eng Sci Tech. 2010 ; 2 (1). 152-162
11. Camelio J, Hu SJ, Ceglarek D. Impact of fixture design on sheet metal assembly variation. J Manuf Syst. 2004 ; 23 (3). 182-193
12. Izquierdo EL, Du H, Hu SJ, et al. Robust fixture layout design for a product family assembled in a multistage reconfigurable line. Proceedings of 2006 ASME international conference on manufacturing sciences and engineering, American Society of Mechanical Engineers, Ypsilanti, MI, 8-11 October 2006
13. Phoomboplab T, Ceglarek D. Process yield improvement through optimum design of fixture layouts in 3D multistation assembly systems. J Manuf Sci E: T ASME. 2008 ; 130 (12). 061005-1-061005-17
14. Huang WZ, Kong ZY, Chennamaraju A. Robust design for fixture layout in multistation assembly systems using sequential space filling methods. J Comp Inf Sci Eng. 2010 ; 10 (4). 041001-1-041001-11
15. Cai W. Robust pin layout design for sheet-panel locating. Int J Adv Manuf Technol. 2006 ; 29 (5-6). 486-494
16. Fan L, Senthil Kumar A. Development of robust fixture locating layout for machining workpieces. Proc IMechE, Part B: J Engineering Manufacture. 2010 ; 224 (12). 1792-1803
17. Xing YF, Jin S, Lai XM, et al. Application of response surface methodology based on radial basis function in fixture design. J Comput Aid Des Comput Graphics. 2009 ; 21 (1). 101-106
18. Xing YF. Assembly sequence optimization of auto-body parts based on compliant assembly variation analysis. PhD Thesis, Shanghai Jiao Tong University, China, 2008 (in Chinese).
19. Kennedy J and Eberhart RC. The particle swarm: social adaptation in information - processing systems. In: Corne D, Dorigo M and Glover F (eds) New ideas in optimization. Cambridge: McGraw-Hill, 379-388,1999.
20. Trelea IC. The particle swarm optimization algorithm: convergence analysis and parameter selection. Inform Process Lett. 2003 ; 85 (6). 317-325
21. Hardy R. Multi-quadric equations of topography and other irregular surfaces. J Geophys Res. 1971 ; 76 (8). 1905-1915