Analysis of process parameters in surface grinding using single objective Taguchi and multi objective Grey relational grade

This study was carried out for multi objective optimization of MQL grinding process parameters. Water based Al2O3 and CuO nanofluids of various concentrations are used as lubricant for MQL system. Grinding experiments were carried out on instrumented surface grinding machine. For experimentation purpose Taguchi's method was used. Important process parameters that affect the G ratio and surface finish in MQL grinding are depth of cut, type of lubricant, feed rate, grinding wheel speed, coolant flow rate, and nanoparticle size. Grinding performance was calculated by the measurement G ratio and surface finish. For improvement of grinding process a multi objective process parameter optimization is performed by use of Taguchi based Grey relational analysis. To identify most significant factor of process analysis of variance (ANOVA) has been used.
Source: Perspectives in Science - Category: Science Source Type: research