Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology

<div>Microstructure of the chosen AA 2014 (black dots represent copper).</div>

Advances in Materials Science and Engineering

fig1

Figure 1

Figure 1: Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology 

Figure 1 | Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology 