Electrical discharge turning (EDT) process is finding its application in machining of rotary elements that is usually difficult to be machined with conventional processes. In order to perform the process more efficient, in the present work a new modification through assistance of magnetic field with EDT process was adopted. Here, an experimental study was made to investigate effect of magnetic field assisted EDT parameters i.e. magnetic flux density, current, pulse time and spindle speed on performance measures i.e. material removal rate (MRR), overcut (OC), surface roughness (Ra), recast layer thickness (RLT) and hardness (H). Number of 30 experiments were carried out using face-centered central composite design taken into account three levels for each parameter. Empirical models were developed using regression analysis with 95% confidence level to correlate relationship between inputs and outputs. Analysis of variances was also carried out to check the adequacy of developed model and to identify which factor has greatest influence on performance measures. Finally, desirability approach function was utilized for multi-objective optimization of process taking into account maximum MRR and hardness as well minimum overcut, surface roughness and recast layer thickness. The research findings indicated that discharge current and pulse on time are most influential parameter on MRR and H; while, magnetic flux density has greatest effect on OC, Ra and RLT. Effectiveness of magnetic field assistance showed that this parameter results in 56% and 38% increase in MRR and H, respectively; also, it results in 31%, 43% and 47% reduction of overcut, surface roughness and recast layer thickness, respectively. Finally, the optimization results demonstrated that magnetic flux density of 0.4 T is an optimum value, however, upon the condition of roughing or finishing, the remaining parameter setting should can be changed.

放电车削（EDT）工艺在旋转元件的加工中得到了应用，而旋转元件通常很难用常规工艺进行加工。为了更有效地执行该过程，在本工作中，采用了借助于磁场和EDT过程的新修改。在这里，进行了一项实验研究，以研究磁场辅助EDT参数（即磁通密度，电流，脉冲时间和主轴速度）对性能指标（例如，材料去除率（MRR），过切（OC），表面粗糙度（Ra），重铸层厚度（RLT）和硬度（H）。使用以脸为中心的中央合成设计进行了30个实验，其中每个参数都考虑了三个级别。使用具有95％置信度的回归分析开发了经验模型，以关联投入和产出之间的关系。还进行了方差分析，以检查已开发模型的充分性，并确定哪个因素对绩效指标的影响最大。最后，考虑到最大MRR和最大硬度以及最小切边，表面粗糙度和重铸层厚度，将期望值方法功能用于过程的多目标优化。研究结果表明，放电电流和脉冲导通时间对MRR和H影响最大。而磁通密度对OC，Ra和RLT影响最大。磁场辅助的有效性表明，该参数可使MRR和H分别增加56％和38％。同样，它导致了31％切削，表面粗糙度和重铸层厚度分别减少了43％和47％。最后，优化结果表明，0.4 T的磁通密度是最佳值，但是，在粗加工或精加工的条件下，应更改其余参数设置。