**Author details**

Grey relation coefficient, relation grade, and the ranks have been displayed in **Table 4**. From this table, it is obvious that the experimental run number 4 has achieved maximum gray relation grade. As has been discuses earlier, this experimental run satisfies the condition for the optimized multi-response parameter. So, experiment 4, which have parametric combination Tool Density 15.7 g/cm<sup>3</sup>

**Settings Levels Predicted result Experimental result** MRR 1437.789 1385.74 TWR 149.464 256.84 Grey Grade 1.000 0.736

Machining time of 199.16 min is the best parametric combination for having high

256.84 gm/min respectively. It is observed that MRR and TWR improve significantly by using optimal machining variables combinations. **Table 5** shows the

results in grey relational grade MRR and TWR is obtained as 1385.75 cm<sup>3</sup>

*Results of machining performance using the initial and optimal machining parameters.*

validation results while machining at optimizing condition.

/min to 1437.789 cm<sup>3</sup>

sity of 15.7 g/cm3, Workpiece density of 14.17 g/cm<sup>3</sup>

gm/min to 1216.031 gm/min respectively.

when 20 amp current and POT is 800 μSec.

The confirmation experiment performed with the above optimal combination

The experimental study indicates that while machining different workpieces like

A multi-objective response is developed which is optimized using GA. Since the objectives of the responses are contradictory in nature, therefore, using GA the optimum values of responses are obtained within a range. In the case of MRR varies

The GRA establishes the ranks of output for different variables combinations and establishes optimal combinations for a complex process like EDM process. For evaluating the optimum parametric combination during machining her Tool Den-

Therefore, this experimental analysis for estimating the optimum EDM parametric combination during machining with a different tool and work materials can

act as valuable and an effective guideline for machining of die and mould.

7836.89 μSec and Machining time of 199.16 min is the best among all the other combinations for having high MRR and low TWR. If any tool material and workpiece have the exact tool density as obtained from the GA that will give the best tool and workpiece combination for machining. As our research is limited to the three types of tool material and three types of the workpiece material, hence it can be concluded that Cu is the best tool for machining OHNS workpiece material by EDM

HCHCr, HDS, and OHNS using different EDM tools like Cu, Al, and Br, the responses are dependent on tool material, workpiece material, pulse on time, and machining time. While analyzing the response data individually applying, ANN considering four control parameters in order to achieve maximum MRR and minimum TWR the training, validation, and testing data indicates that the values of R,

, Current 86.24 amp, POT 7836.89 μSec, and

/min and TWR varies between 149.402

, Current of 86.24 amp, POT of

Workpiece density of 14.17 g/cm<sup>3</sup>

Improvement of the grey relation grade: 0.264

*Computational Optimization Techniques and Applications*

MRR and low TWR.

**Table 5.**

**8. Conclusion**

are almost 1.

**148**

from 1045.3295 cm3

,

/min and

Goutam Kumar Bose and Pritam Pain\* Department of Mechanical Engineering, Haldia Institute of Technology, Haldia, West Bengal, India

\*Address all correspondence to: pritam.me.dscsdec@gmail.com

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
