Static Analysis of Workpiece - Fixture Layout System for Drilling Operation Using RSM and ACA

Abstract:

Fixture layout design is crucial to ensure machining accuracy and sustained quality of manufacture. The machining accuracy can be improved by minimizing the workpiece deformation through proper positioning of the workpiece. Fixtures are employed to minimise the degrees of freedom of a workpiece during machining of objects where the positioning of fixture elements is crucial in minimizing the workpiece deformation. The main purpose of this research work is to perform static analysis on workpiece-fixture system involving drilling operation. Finite element method (FEM) has been used to model the workpiece-fixture system and determine the workpiece deformation. The positions of the locators and clamps are predicted using response surface methodology and the fixture optimized parameters are obtained by ant colony algorithm (ACA).

• Periodical: Advanced Materials Research (Volumes 984-985)
• Pages: 438-443
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.438
• Online since: July 2014
• Authors: M. Vasundara*, K.P. Padmanaban
• Keywords: Ant Colony Algorithm, Finite Element Method (FEM), Response Surface Methodology (RSM)

References

[1] Phoomboplab T and Ceglarek D, Process yield improvement through optimum design of fixture layouts in 3D multistation assembly systems, J Manuf Sci Eng. 130 061005 (2008) 1-17.

DOI: 10.1115/1.2977826

[2] Wang MY (1999), Automated fixture layout design for 3D workpieces, Robot Autom, Proc ICRA'04, IEEE Int Conf. Paper 2, (1999) 1577–1582.

[3] Lee JD and Haynes LS, Finite element analysis of flexible system, ASME J Eng Ind. 109 (1987) 134–139.

[4] CaiW, Hu SJ and Yuan J, A variational method of robust fixture configuration design for 3-D workpieces, J Manuf Sci Eng. 119 (1997) 593–602.

DOI: 10.1115/1.2831192

[5] Krishnakumar K and Melkote SN, Machining fixture layout optimization using the genetic algorithm, Int J Mach Tool Manuf. 40 (2000) 579–598.

DOI: 10.1016/s0890-6955(99)00072-3

[6] Kaya N, Machining fixture locating and clamping position optimization using genetic algorithms, Int J Comput Ind. 57 (2005) 112–120.

DOI: 10.1016/j.compind.2005.05.001

[7] Li B, Ying H, Tang H, Hongjian Y and Hong H, A comparative study on quality design of fixture planning for sheet metal assembly, J Eng Design. 19 (2008) 1–13.

DOI: 10.1080/09544820601058634

[8] Ratchev S, Phuah K, Lammel G and HuangW, An experimental investigation of fixture-workpiece contact behavior for the dynamic simulation of complex fixture–workpiece systems, J Mater Process Technol 164-165 (2005) 1597–1606.

DOI: 10.1016/j.jmatprotec.2005.01.011

[9] Karl D. Majeske and Patrick C. Hammatt, Predicting assembly dimensions with functional build: a case study using DOE, J Manuf Processes. 5 (2003) 54-65.

DOI: 10.1016/s1526-6125(03)70041-3

[10] Prabhakaran G, Padmanaban KP and Krishnakumar R, Machining fixture layout optimization using FEM and evolutionary techniques, Int J Adv Manuf Technol. 32 (2007) 1090–1103.

DOI: 10.1007/s00170-006-0441-6

[11] Padmanaban KP and Prabhaharan G, Dynamic analysis on optimal placement of fixturing elements using evolutionary techniques, Int J Prod Res. 99999(1) (2007) 1–38.

[12] K. Siva Kumar and G. Paulraj, Geometric error control of workpiece during drilling through optimisation of fixture parameter using a genetic algorithm, International Journal of Production Research. 50 (2012) 3450-3469.

DOI: 10.1080/00207543.2011.588616