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

Proceedings of the National Conference on
Trends and Advances in Mechanical Engineering,
YMCA University of Science & Technology, Faridabad, Haryana, Oct 19-20, 2012
• Identify the control factors and their alternative levels. This can either be done on the basis of trial
experiments or past research.
• Design the matrix experiment by selecting appropriate orthogonal array. This selection is made on the
basis of number of process parameter and their levels.
• Conduct the matrix experiment.
• Analyse the data using statistical measure of performance characteristics also known as Signal-to-Noise
ratio (S/N ratio) and determine the optimum setting of control factors.
• Predict the performance correspond to optimal levels.
• Determine the confidence intervals and perform the confirmation experiments.
2.1 Application of Taguchi method
Taguchi method has been widely used by researchers for optimization of individual performance characteristics
of conventional and non conventional machining processes.
2.1.1 Conventional machining processes:
Kivak (2012) optimized the drilling parameters using Taguchi methodology to obtain minimum surface
roughness and thrust force. Experiments were conducted using L 16 orthogonal array on a CNC vertical drilling
machining centre. Wu Gang (2011) used Taguchi methodology in CNC milling for designing optimal parameters
to reduce geometric errors. Fratila (2011) applied the Taguchi optimization methodology to optimize the cutting
parameters in face milling in order to get the best surface roughness and the minimum power consumption. This
paper presents the application of the technique for the single quality characteristics optimization. Kilickap (2010)
obtained the optimum drilling parameter combination by using the analysis of signal-to-noise ratio. The
conclusion revealed that feed rate and cutting speed were the most influential factor on the delimination,
respectively. The best results of the delimination were obtained at lower cutting speeds and feed rates. Tzeng
(2007) described the application of the Taguchi method coupled with fuzzy logic analysis to optimize the
precision and accuracy of the high speed electrical discharge machining process. H. Oktem (2006) used Taguchi
optimization method to find the optimal process parameter which minimizes the surface roughness during the
mold surface milling of a 7075-76 aluminium block and also concluded that the Taguchi method is very useful in
solving the surface quality problem of mold surface. Ghani (2004) optimized the cutting parameter in the milling
of steel using Taguchi methodology. Davim (2003) employed orthogonal array for optimization of cutting
parameter in turning and investigated the influence of experimental cutting conditions.
2.1.2 Non-conventional Application
Timur (2012) employed Taguchi optimization of nanosecond Laser for microdrilling on PVE to obtain cavities
having maximum aspect ratio (depth to width ratio). Dongxia (2012) successfully applied Taguchi approach for
optimization of weld bead geometry in laser welding and obtained optimal combination of welding parameters.
From the experimental results, it is found that the effect of welding parameters on the welding quality decreased
in the order of welding speed, wire feed rate, and laser power. Rao (2011) investigated the effect of WEDM
conditions on surface roughness and used Taguchi method for optimization of WEDM. Chomsamuter (2010)
combined the three cutting parameters to obtain the optimal product specifications by using Taguchi
methodology. Yan-Cheng Lin (2009) optimized the machining parameters in magnetic force assisted EDM with
the effective utilization of Taguchi method and obtained an optimal set of control factors through this method.
Matoorian (2008) presented the application of the Taguchi design method to optimize the precision and accuracy
of the electrical discharge machining process. Author employed L18 orthogonal array to investigate the effect of
process parameters on quality characteristic. Li (2007) used Taguchi matrix method to identify optimal laser
parameters for cutting QFN packages to achieve optimal cutting quality. Control factors were lamp current, pulse
repetition rate and cutting speed. Liao (1997) developed an approach of finding the parameter setting by using
Taguchi quality design method and the analysis of variance. The result obtained from this method show that
table feed & pulse on time directly affect the material removal rate and surface finish. For the prevention of wire
breakage these parameter can also be used to control the discharge frequency.
3. Grey relational analysis (GRA)
According to Phadke (1989), it is difficult to optimize multi performance characteristics in complex process by
Taguchi method and engineering judgement is primarily used to resolve such a complicated problem. The grey
system theory proposed by Deng (1982) has been proven to be useful for dealing with the problems with poor,
insufficient and uncertain information.
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