Optimization of Response Parameter on Textile Machine Using Grey Relation Analysis

Authors

  • Shankar Sharan Vajpayee Department of Mechanical Engineering, Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh 474005, India
  • Sharad Agarwal Department of Mechanical Engineering, Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh 474005, India
  • Dinesh Kumar Kasdekar Department of Mechanical Engineering, Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh 474005, India

DOI:

https://doi.org/10.37591/joma.v1i3.7298

Keywords:

optimization, responses parameter, ANOVA, GRA (grey relation analysis).

Abstract

Optimization is the one of the techniques used in manufacturing industry to achieve the best output condition, which is necessary for industry production at high quality in the minimum input cost. In this paper, we find out the optimal value towards the best production quality. There are many optimization techniques and one of them is Taguchi-based grey relation analysis method. In this experiment, the method is applied on L27 orthogonal array for grey relational analysis. The grey relation analysis method process parameters like Yarn diameter, RPM, Ply Twist and cable twist in the textile machine process to identify the Breaking Strength (BS) and Yarn length (YL) of the work piece (Nylon 6) of machine for finding the optimal value of the parameter of textile machine. The confirmation experiments carried out optimal results. Thus the machining parameter was optimized for achieving the combined objectives of higher Breaking Strength and yarn diameter. The result shows that grey relational analysis is an effective procedure to optimize the machining parameter.

References

Ai X, Hu Y, Chen G. “A systematic approach to identify the hierarchical structure of accident factors with grey relations.” Safety Science. 2014; 63:

–93p.

Nilsson E, Lund A, Jonasson C, Johansson C, Hagstrom B. “Poling and characterization of piezoelectric polymer fibersfor use in textile sensors.” Sensors and Actuators A: Physical, Sensors and Actuators A. 2013; 201: 477–86p.

Carfagni M, Furferi R, Governi L. “A real-time machine-vision system for monitoring the textile raising process.” Computers in Industry. 2005; 56: 831–42p.

Vijian P, Arunachalam VP. “Optimization of squeeze cast parameters of LM6 aluminium alloy for surface roughness using Taguchi method.” J of Mater Processing Technol. 2006; 180(1–3): 161–66p.

Ho CY, Lin ZC. “Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters.” The Int J of Adv Manuf Technol. 2003; 21(1): 10–14p.

Gopalsamy BM, Mondal B, Ghosh S. “Optimisation of machining parameters for hard machining: Grey relational theory approach and ANOVA.” The Int J of Adv Manuf Technol. 2009; 45(11 12): 1068–86p.

Pawade RS, Joshi SS. “Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA).” The Int J of Adv Manuf Technol. 2011; 56(1–4): 47–62p.

Deng JL. Introduction to grey system theory. J of Grey Syst. 1989; 1(1): 1–24p.

Deng JL. The Theory and Methods of Socio-Economic Grey Systems. Science Press, Beijing, 1984.

Hea RS, Hwang SF. Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis.” Institute of Engineering Technology, National Yunlin University of Science and Technology, 123 University Road, Sec. 3, Douliu 640, Taiwan, R.O.C., 2007.

Singh PN, Raghukandan K, Pai PC. Optimization by grey relational analysis of edm parameters on machining al-10% Sicp composites. J of Mater Processing Technol. 2004; 155–156: 1658–61p.

Tzeng CJ, Lin YH, Yang YK, Jeng MC. Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis. J of Mater Processing Technol. 2009; 209: 2753–9p.

Fung CP. Manufacturing process optimization for wear property of fiber-reinforced polbutylene terephthalate composites with grey relation analysis. Wear. 2003; 254: 298–306p.

Jeyapaul R, Shahabudeen P, Krishnaiah K. “Quality management research by considering multi-response problems in the Taguchi method: a review.” The Int J of Adv Manuf Technol. 2005; 26(11 12): 1331–7p.

Dabade UA. “Multi-objective Process Optimization to Improve Surface Integrity on Turned Surface of Al/SiCp Metal Matrix Composites Using Grey Relational Analysis.” Procedia CIRP. 2013; 7: 299–304p.

Datta S, Mahapatra SS. “Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique.” Int J of Engin, Sci and Technol. 2010; 2(5): 162–83p.

Kuram E, Ozcelik B. “Multi-objective optimization using Taguchi based grey relational analysis for micro-milling of Al 7075 material with ball nose end mill.” Department of Mechanical Engineering, Gebze Institute of Technology, Gebze, Turkey, 2013.

Natarajan N, Arunachalam RM. “Optimization with micro EDM with multi performance characteristic using Taguchi method and Grey Relational Analysis. J of Sci Ind Res. 2011; 70: 500–5p.

Taguchi G. Introduction to quality engineering Tokyo, (Japan); Asian Productivity; 1990.

Suresha B, Mohan C, Kishore G, Kumaran S, Seetharamu S. “Mechanical and three body abrasive wear behaviour if SiC filled glass-epoxy composites. Poly Compos. 2008; 29(9):1020–5p.

Esmizadeh E, Naderi G, Ghoreishy MHR, Bakhshandeh GR. “Optimal Parameter Design by Taguchi Method for Mechanical Properties of NBR/PVC Nanocomposites.” Iranian Polymer J. 2011; 20(7): 587–96p.

Basavarajappa S, Mohan C, Paulo G, Davim J. “Application of Taguchi techniques to study dry sliding wear behaviour of metal matrix composites mater. Des. 2007; 28(4):1393–8p.

Kumar PK, Latha B, Senthi KVS, Davim JP. “Analysis of drilling of GRFP composites using grey relational analysis. Mater Manuf. Process. 2012; 27(3):297–305p.

Chao-Lieh Y. Optimizing the glass fiber cutting process using the taguchi methods and grey relational analysis. New J Glass Ceram. 2011; 1: 13–9p.

Ross P, Taguchi J. “Techniques for quality Engineering”, USA: McGraw-Hill; 1996.

Chandramouli S, Balraj US, Eswaraiah K, “Optimization of Electrical Discharge Machining Process Parameters Using Taguchi Method.” Int J of Adv Mech Eng. 2014; ISSN 2250-3234; 4(4): 425 34p.

Ghazali MF, Shayfull Z, Shuaib NA, Nasir SM, Salleh MM. “Injection Mould Analysis in Reducing Warpageof Nylon PA66 Side ArmsUsing Taguchi Method and ANOVA.” Int J of Basic & Appl Sci. IJBAS-IJENS; 11 (01).

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Published

2023-08-14

Issue

Vol. 1 No. 3 (2014)

Section

Articles

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