CLC number: TG386
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 8
Clicked: 5821
XIE Yan-min, YU Hu-ping, CHEN Jun, RUAN Xue-yu. Application of grey relational analysis in sheet metal forming for multi-response quality characteristics[J]. Journal of Zhejiang University Science A, 2007, 8(5): 805-811.
@article{title="Application of grey relational analysis in sheet metal forming for multi-response quality characteristics",
author="XIE Yan-min, YU Hu-ping, CHEN Jun, RUAN Xue-yu",
journal="Journal of Zhejiang University Science A",
volume="8",
number="5",
pages="805-811",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A0805"
}
%0 Journal Article
%T Application of grey relational analysis in sheet metal forming for multi-response quality characteristics
%A XIE Yan-min
%A YU Hu-ping
%A CHEN Jun
%A RUAN Xue-yu
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 5
%P 805-811
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A0805
TY - JOUR
T1 - Application of grey relational analysis in sheet metal forming for multi-response quality characteristics
A1 - XIE Yan-min
A1 - YU Hu-ping
A1 - CHEN Jun
A1 - RUAN Xue-yu
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 5
SP - 805
EP - 811
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A0805
Abstract: The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the square hole flanging process parameters with considerations of the multiple response (the average flanging height, regular flanging and maximum strain) is introduced. Various flanging parameters, such as the blank inner radius rb, blank inner width B0, are considered. An orthogonal array is used for the experimental design. multiple response values are obtained using finite element analysis (FEA). Optimal process parameters are determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics (flanging height, regular flanging and maximum strain). Analysis of variance (ANOVA) for the grey relational grade is implemented. The results showed good agreement with the experiment result. grey relational analysis can be applied in multiple response optimization designs.
[1] Barlet, O., Batoz, J.L., Guo, Y.Q., Mercier, F., Naceur, H., Knopf-Lenoir, C., 1996. Optimum Design of Blank Contours Using the Inverse Approach and a Mathematical Programming Technique. NUMISHEET’96, 3rd Int. Conf. on Numerical Simulation of 3D Sheet Forming Processes, Dearborn, Michigan, USA, p.178-185.
[2] Browne, M.T., Hillery, M.T., 2003. Optimizing the variables when deep-drawing C.R.1 cups. Journal of Materials Processing Technology, 136(1-3):64-71.
[3] Chan, J.W.K., Tong, T.K.L., 2007. Multi-criteria material selections and end-of-life product strategy: grey relational analysis approach. Materials and Design, 28(5):1539-1546.
[4] Chiang, K.T., Chang, F.P., 2006. Application of grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell feature. International Communications in Heat and Mass Transfer, 33(1):94-101.
[5] Deng, J.L., 1989. Introduction to grey system theory. Journal of Grey System, 1:1-24.
[6] Gantar, G., Pepelnjak, T., Kuzman, K., 2002. Optimization of sheet metal forming processes by the use of numerical simulations. Journal of Materials Processing Technology, 130-131:54-59.
[7] Ho, C.Y., Lin, Z.C., 2003. Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. International Journal of Advanced Manufacturing Technology, 21(1):10-14.
[8] Huang, J.H., Li, S.G., Rao, J.J., Zhang, H.M., Li, X.F., 2004. Study on process parameter optimization method by numerical simulation of sheet metal forming. Journal of Chinese Mechanical Engineering, 15(7):648-654 (in Chinese).
[9] Huh, H., Kim, S.H., 2001. Optimum process design in sheet-metal forming with finite element analysis. Journal of Engineering Materials and Technology, 123(4):476-481.
[10] Jakumeit, J., Herdy, M., Nitsche, M., 2005. Parameter optimization of the sheet metal forming process using an iterative parallel Kriging algorithm. Structural and Multidisciplinary Optimization, 29(6):498-507.
[11] Kleiber, M., Rojek, J., Stocki, R., 2002. Reliability assessment for sheet metal forming operations. Computer Methods in Applied Mechanics and Engineering, 191(39-40):4511-4532.
[12] Li, Y.Q., Cui, Z.S., Chen, J., Ruan, X.Y., Zhan, D.J., 2006a. Six sigma robust design methodology based on response surface model. Journal of Shanghai Jiao Tong University, 40(2):201-205 (in Chinese)
[13] Li, Y.Q., Cui, Z.S., Ruan, X.Y., Zhang, D.J., 2006b. CAE-based six sigma robust optimization for deep-drawing sheet metal process. International Journal of Advanced Manufacturing Technology, 30(7-8):631-637.
[14] Lin, C.T., Chang, C.W., Chen, C.B., 2006. A simple approach to solving multi-response quality characteristic problems in CMOS ion implantation. International Journal of Advanced Manufacturing Technology, 28(5-6):592-595.
[15] Lo, S.P., 2002. The application of an ANFIS and grey system method in turning tool-failure detection. International Journal of Advanced Manufacturing Technology, 19(8):564-572.
[16] Lu, X.F., Xiao, W.H., Liu, H.Q., Zhou, A.J., 2000. Shape and size designing of preprocessing hole in square hole flanging. Journal of Die Industry, 12:33-35 (in Chinese)
[17] Morán, J., Granada, E., Míguez, J.L., Porteiro, J., 2006. Use of grey relational analysis to assess and optimize small biomass boilers. Fuel Processing Technology, 87(2):123-127.
[18] Nakamura, Y., Ohata, T., Nakamachi, E., 1998. Optimum Die Design for Sheet Metal Forming Process by Using Finite Element and Discretized Optimization Methods. Proceedings of the Numiform’98, Simulation of Materials Processing: Theory, Methods and Applications, Rotterdam, Netherlands, p.787-792.
[19] Tosun, N., 2006. Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. International Journal of Advanced Manufacturing Technology, 28(5-6):450-455.
Open peer comments: Debate/Discuss/Question/Opinion
<1>