OCTOBER 19-20, 2012 - YMCA University of Science & Technology
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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

OCTOBER 19-20, 2012 - YMCA University of Science & Technology

OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

3.1.2 Non-conventional Machining Processes<br />

Murugesan (<strong>20</strong>12) employed the Grey relational analysis theory to resolve the complicated interrelationships<br />

among the multiple performance characteristics. In this study the optimization <strong>of</strong> the Electrical Discharge<br />

Machining (EDM) process with multiple performance characteristics based on orthogonal array with the Grey<br />

relational analysis has been studied. Jangra (<strong>20</strong>11) used grey relational analysis along with Taguchi method to<br />

optimize material removal rate and surface roughness simultaneously for WEDM <strong>of</strong> WC-Co composite. Also, he<br />

challenged that solution from this study will be very helpful for tool manufacturer who are willing to search for<br />

an optimal result <strong>of</strong> control factors. Jangra (<strong>20</strong>10) utilised the grey relational analysis along with taguchi method<br />

to optimize multiple machining characteristics in wire electrical discharge machining <strong>of</strong> punching die. D3 tool<br />

steel was chosen for experimentation. Li (<strong>20</strong>09) demonstrated that gray relational analysis can be applied to laser<br />

beam cutting for flash memory modules with special shapes. Rao (<strong>20</strong>09) applied a hybrid approach <strong>of</strong> Taguchi<br />

design methodology and grey relational analysis to optimize multiple performance characteristics in Laser<br />

cutting. The designed results are used in grey relational analysis and to calculate actual weight <strong>of</strong> quality<br />

characteristics, entropy measurement method is applied. Caydas (<strong>20</strong>08) used the grey relational analysis to<br />

optimize multiple performance characteristics. In this study, the laser cutting parameters such as laser power and<br />

cutting speed were optimized. The response table for each level <strong>of</strong> the machining parameters were obtained from<br />

grey relational grade. Pan (<strong>20</strong>07) demonstrated the effectiveness <strong>of</strong> optimizing multiple performance measures<br />

using taguchi method and grey relational analysis. The calculation <strong>of</strong> grey relational grade helped to quantify the<br />

integrated performance <strong>of</strong> multiple performance measures required in laser welding. Lin and Lin (<strong>20</strong>02)<br />

optimized the multiple performance characteristics in wire electrical discharge machining by combining the<br />

orthogonal array and grey relational analysis. P. N. Singh (<strong>20</strong>04) employed orthogonal array with grey relational<br />

analysis to optimize the multiple performance characteristics <strong>of</strong> electrical discharge machining. Confirmation<br />

result shows that there is considerable improvement in the process.<br />

4. Conclusions<br />

This paper presents the application <strong>of</strong> two optimization approaches namely Taguchi method and grey relational<br />

analysis (GRA). Both approaches have been utilised in many fields to optimize the single and multi performance<br />

characteristics efficiently. Taguchi method is applicable for optimizing the single performance characteristics<br />

while GRA combined with Taguchi method can solve problems having multi performance characteristics. Using<br />

these two approaches, any complex system having multi performance characteristics can be solved efficiently.<br />

References<br />

Caydas, U. & Hascalik, A. (<strong>20</strong>08). “Use <strong>of</strong> the grey relational analysis to determine optimum laser cutting<br />

parameters with multi-performance characteristics”. Optics & Laser <strong>Technology</strong>, 40: 987-994.<br />

Chomsamutr, K., (<strong>20</strong>10). “The cutting parameters design for product quality improvement in turning operations:<br />

optimization and validation with taguchi method”. International conference, 1-6.<br />

Davim, P.J. (<strong>20</strong>03). “Design <strong>of</strong> optimization cutting parameters for turning metal matrix composite based on<br />

orthogonal array”. Journal <strong>of</strong> Materials Processing <strong>Technology</strong>, 132: 340-344.<br />

Deng, J. (<strong>19</strong>82). “Control problems <strong>of</strong> grey system”. System and Control Letters, 5: 288-294.<br />

Deng, J.L. (<strong>19</strong>89). “Introduction to grey theory”. Journal <strong>of</strong> grey system, 1(1): 1-24.<br />

Dongxia, Y., Xiaoyan, L., Dingyong, H., Zuoren, N. & Hui, H. (<strong>20</strong>12). “Optimization <strong>of</strong> weld bead geometry in<br />

laser welding with filler wire process using Taguchi’s approach”. Optics & Laser <strong>Technology</strong>, 44(7) : <strong>20</strong><strong>20</strong>–<strong>20</strong>25.<br />

Fratila, D., & Caizer, C. (<strong>20</strong>01). “Application <strong>of</strong> Taguchi method to selection <strong>of</strong> optimal lubrication and cutting<br />

conditions in face milling <strong>of</strong> AIMg3”. Journal <strong>of</strong> Cleaner Production, <strong>19</strong>: 640-645.<br />

Gang, W. (<strong>20</strong>11). “Optimization <strong>of</strong> cutting parameters in machining surface to reduce errors”, International<br />

conference. 1: <strong>20</strong>0-<strong>20</strong>2.<br />

Ghani, A.J., Choudhury, A.L. & Hassan, H.H. (<strong>20</strong>04). “Application <strong>of</strong> Taguchi method in the optimization <strong>of</strong><br />

end milling parameter”. Journal <strong>of</strong> Materials Processing <strong>Technology</strong>, 145: 84-92.<br />

Haq, A.N., Marimuthu, P. & Jeyapaul, R. (<strong>20</strong>08). “Multi response optimization <strong>of</strong> machining parameters <strong>of</strong><br />

drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method”, The International<br />

Journal <strong>of</strong> Advanced Manufacturing <strong>Technology</strong>, 37(3-4): 250-255.<br />

Jangra, K. & Grover, S. (<strong>20</strong>11). “Simultaneous optimization <strong>of</strong> material removal rate and surface roughness for<br />

WC-Co composite using grey relational analysis along with taguchi method”. International journal <strong>of</strong> industrial<br />

engineering computations, 2: 479-490.<br />

Jangra, K., Jain, A. & Groover, S. (<strong>20</strong>10). “Optimization <strong>of</strong> multiple-machining characteristics in wire electrical<br />

discharge machining <strong>of</strong> punching dieusing grey relational analysis”. Journal <strong>of</strong> Scientific & Industerial<br />

Research, 69: 606-612.<br />

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