**Abstract**

 For any machining process, prediction of performance measures such as material removal rate (MRR), tool wear rate (TWR), surface roughness, etc. is important as it helps in the selection of input parameters for better performance. Different models have been proposed by researchers for the prediction of material removal rate in the electrical discharge machining (EDM) process. Due to several assumptions in the development of models, each model has the limitation of prediction accuracy. In this article, a new modeling approach for MRR is presented using experimental data from the well-known literature as a reference. The values of MRR predicted from this model were compared with that of different models. The results of the comparative analysis showed that the tendency of prediction is similar for all the models and the prediction accuracy of the newly developed model was higher compared to other models. Hence, this approach can be used to model MRR for a different combination of workpieces and tools.

**Keywords:** electrical discharge machining, modeling, MRR, prediction accuracy, comparison
