Cryo process is the process of treating work-pieces to cryogenic temperatures (i.e. −184 ℃) to remove residual stresses and improve wear resistance of steels. It improves the surface properties of the materials. Aerospace and tool industries use this treatment to enhance the dimensional stability and wear resistance. In this research paper, a comparison has been presented for normal and cryogenic-treated high carbon high chromium cold alloy tool (D-3) steel. The response variables namely cutting rate, metal removal rate, and surface roughness are considered for experimentations and six input process parameters like pulse width, time between two pulses, servo reference mean voltage, short pulse time, maximum feed rate, and wire mechanical tension were used for optimization on wire electric discharge machine. Grey relational analysis has been applied to calculate the grey relational coefficients and grey relational grade. ANOVA is also performed to know the significant factors for multi-response optimization.
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