Rym Khettabi - Mechanical Engineering Department, University of ۲۰ Août ۱۹۵۵ Skikda, El Hadaiek Road, Skikda, Algeria
Issam Touil - Mechanical Engineering Department, University of ۲۰ Août ۱۹۵۵ Skikda, El Hadaiek Road, Skikda, Algeria
Mohamed Kezzar - Mechanical Engineering Department, University of ۲۰ Août ۱۹۵۵ Skikda, El Hadaiek Road, Skikda, Algeria
Mohamed R. Eid - Department of Mathematics, Faculty of Science, New Valley University, El-Kharga, Al-Wadi Al-Gadid, Egypt
Fatima.Z Derdour - Mechanical Engineering Department, University of ۲۰ Août ۱۹۵۵ Skikda, El Hadaiek Road, Skikda, Algeria
Kamel Khounfais - Physical Engineering Department, University of ۲۰ Août ۱۹۵۵ Skikda, El Hadaiek Road, Skikda, Algeria
Lakhdar Khochmane - Mechanical Engineering Department, University of ۲۰ Août ۱۹۵۵ Skikda, El Hadaiek Road, Skikda, Algeria

It is well-established that the response surface methodology (RSM) is commonly employed to establish the differences between the predicted values and those observed experimentally. This study mainly goals on the impact of four drilling factors including weight on the bit (WOB), the rotating rapidity of the bit, RPM, cutting angle , and rock resistance on the penetration rate of the drilling tool. In this examination, three kinds of limestone rocks were considered. The planned assessments were carried out at three stages of the considered four input variables. The statistical analysis was realized using both RSM approach and analysis of variance (ANOVA). This analysis allowed us to develop the appropriate penetration model with a higher determination coefficient of ۹۶.۱۹%, which demonstrates the high correlation between the predicted and experimental data, and consequently, it can be concluded that the obtained model is highly suitable for the prediction of the penetration rate. Also from variance analysis, the results obtained show that rotational speed, RPM, and weight on the bit (WOB) parameters, as well as the nature of the rock, which is determined by the rock compressive resistance, having a significant effect on the penetration rate; however, the rake angle has little effect. Finally, the optimal parameters were determined to find the best possible penetration rate of the drilling tool.

Optimization, Experimental data, Drilling Parameters, Optimal parameters, RMS and ANOVA