Multi Response Optimization of the Hole Punching Process Parameters in the Leaf Spring Assembly Using the Grey Taguchi Method and Simulated Annealing Algorithm

Abstract:

This paper presents an attempt to develop an approach to predict the optimal process parameters for the Hole punching process on sheet metal. The Taguchi method is used to define the experimental procedure by its orthogonal array. The multiple responses of the Hole punching process, hole diameter and hole offset are optimised by the Grey Relational Analysis procedure. The statistical analysis of variance reveals the significant parameters which affect the process by analyzing the input parameters with the grey relational grade. The Non linear model obtained by this analysis is further processed by a Meta heuristic algorithm to obtain the optimality.

• Periodical: Applied Mechanics and Materials (Volumes 110-116)
• Pages: 1691-1695
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.110-116.1691
• Online since: October 2011
• Authors: Gopalsamy Gopalaramasubramaniyan, Ke Zhu
• Keywords: Grey Relational Analysis (GRA), Multi-Response Problem, Punching, Simulated Annealing Algorithm, Taguchi Method

References

[1] Chorng-Jyh Tzeng, Yu-Hsin Lin, Yung-Kuang Yang, Ming-Chang Jeng, Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis, Journal of materials processing technology, Vol. 209, (2009).

DOI: 10.1016/j.jmatprotec.2008.06.046

[2] A. Noorul Haq, P. Marimuthu and R. Jeyapaul, Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using Grey Relational Analysis in the Taguchi method, International Journal of Advance Manufacturing Technology, (2007).

DOI: 10.1007/s00170-007-0981-4

[3] R. Jeyapaul, P. Shahabudeen and K. Krishnaiah, Simultaneous optimization of multi-response problems in the Taguchi method using Genetic Algorithm, International Journal of Advance Manufacturing Technology, Vol. 30, (2006), p.870–878.

DOI: 10.1007/s00170-005-0095-9

[4] Chung-Ho Wang, Lee-Ing Tong, Optimization of Dynamic Multi-Response Problems Using Grey Multiple Attribute Decision Making, Quality Engineering, Vol. 17, (2005), p.1–9.

DOI: 10.1081/qen-200028450

[5] Nihat Tosun, Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis, International Journal of Advance Manufacturing Technology, Vol. 28, (2006), p.450–455.

DOI: 10.1007/s00170-004-2386-y

[6] S.G. Ponnambalam, N. Jawahar and P. Aravindan, A Simulated Annealing algorithm for job shop scheduling, Production Planning and Control, Vol. 10, No.: 8, (1999), p.767 – 777.

DOI: 10.1080/095372899232597

[7] R. Saravanan, R. Siva Sankar, P. Asokan, K. Vijayakumar, G. Prabhaharan, Optimization of cutting conditions during continuous finished profile machining using non-traditional techniques, International journal of advanced manufacturing technology, 26, (2005).

DOI: 10.1007/s00170-003-1938-x