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Multi-objective optimization of the light guide rod by using the combined Taguchi method and Grey relational approach

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Abstract

The light guide rod (LGR) is widely used to transmit light from a light emitting diode lamp. In this paper, a designed LGR for the application in the automobile lighting is prepared. The main factors that affect the LGR performances are the illuminance flux and uniformity. This paper aims to develop a method that optimizes the multi-objective parameters of the LGR. For statistical purposes, the experimental parameters for the LGRs are put in the L 9(34) orthogonal array. In order to optimize these parameters, a method combining Taguchi method and Grey relational approach is established. The experimental results from illuminance flux and uniformity can be integrated into a single performance index. A comparison of the integrated performance index between the initial and optimal conditions shows that the illuminance flux increases from 1.14 to 1.42(lm) and the average difference from 1.46 to 1.07. The positive gains for the illuminance flux and the average difference value by this approach and compared with the initial condition are reported as 25.04 and 26.64 %, respectively.

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References

  • Abbas A. R., Mohammad D. A. T. (2011) Solving the multi-response problem in Taguchi method by benevolent formulation in DEA. Journal of Intelligent Manufacturing 22: 505–521

    Article  Google Scholar 

  • Chiang Y. M., Hsieh H. H. (2009) The use of the Taguchi method with grey relational analysis to optimize the thin-film sputtering process with multiple quality characteristic in color filter manufacturing. Computers & Industrial Engineering 56: 648–661

    Article  Google Scholar 

  • Das S. K., Sahoo P. (2011) Tribological characteristics of electroless Ni–B coating and optimization of coating parameters using Taguchi based grey relational analysis. Materials & Design 32: 2228–2238

    Article  Google Scholar 

  • Deng J. L. (1989) Introduction to Grey system theory. The Journal of Grey System 1: 1–24

    Google Scholar 

  • Kopac J., Krajnik P. (2007) Robust design of flank milling parameters based on Grey–Taguchi method. Journal of Materials Processing Technology 191: 400–403

    Article  Google Scholar 

  • Kuo C. F. J., Su T. L., Jhang P. R., Huang C. Y., Chiu C. H. (2011) Using the Taguchi method and grey relational analysis to optimize the flat-pla te collector process with multiple quality characteristics in solar energy collector manufacturing. Energy 36: 3554–3562

    Article  Google Scholar 

  • Li C. H., Tsai M. J. (2009) Multi-objective optimization of laser cutting for flash memory modules with special shapes using grey relational analysis. Optics & Laser Technology 41: 634–642

    Article  Google Scholar 

  • Liao H. C. (2005) Using N-D method to solve multi-response problem in Taguchi. Journal of Intelligent Manufacturing 16: 331–347

    Article  Google Scholar 

  • Lim, H., Hwang, S., Shin, K., & Han, C. (2010). The application of the Grey-based Taguchi method to optimize the global performance of the robot manipulator. In IEEE/RSJ international conference on IROS 2010 (pp. 3868–3874).

  • Lin, H. L. (2010). The use of the Taguchi method with grey relational analysis and a neural network to optimize a novel GMA welding process. Journal of Intelligent Manufacturing Online First, 20 October 2010.

  • Lin J. L., Lin C. L. (2002) The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. International Journal of Machine Tools and Manufacture 42: 237–244

    Article  Google Scholar 

  • Liu W. L., Chien W. T., Jiang M. H., Chen W. J. (2010) Study of Nd:YAG laser annealing of electroless Ni–P film on spiegel-iron plate by Taguchi method and grey system theory. Journal of Alloys and Compounds 495: 97–103

    Article  Google Scholar 

  • Manivannan S., Devi S. P., Arumugam R. (2011) Multi-objective optimization of flat plate heat sink using Taguchi-based Grey relational analysis. International Journal of Advanced Manufacturing Technology 52: 739–749

    Article  Google Scholar 

  • Orth P., Yacout S., Adjengue L. (2012) Accuracy and robustness of decision making techniques in condition based maintenance. Journal of Intelligent Manufacturing 23: 255–264

    Article  Google Scholar 

  • Pan L. K., Wang C. C., Wei S. L., Sher H. F. (2007) Optimizing multiple quality characteristics via Taguchi method-based Grey analysis. Journal of Materials Processing Technology 182: 107–116

    Article  Google Scholar 

  • Sood A. K., Ohdar R. K., Mahapatra S. S. (2009) Improving dimensional accuracy of fused deposition Modelling processed part using grey Taguchi method. Materials & Design 30: 4243–4252

    Article  Google Scholar 

  • Tarng Y. S., Juang S. C., Chang C. H. (2002) The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing. Journal of Materials Processing Technology 128: 1–6

    Article  Google Scholar 

  • Tzeng C. J., Lin Y. H., Yang Y. K., Jeng M. C. (2009) Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis. Journal of Materials Processing Technology 209: 2753–2759

    Article  Google Scholar 

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Correspondence to R. F. Fung.

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Yang, Y.S., Shih, C.Y. & Fung, R.F. Multi-objective optimization of the light guide rod by using the combined Taguchi method and Grey relational approach. J Intell Manuf 25, 99–107 (2014). https://doi.org/10.1007/s10845-012-0678-x

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  • DOI: https://doi.org/10.1007/s10845-012-0678-x

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