Multi-response optimization and modelling of CO2 Laser turning process with (X10CrNiTi18-9) St.St assisted by O2 gas

Document Type : Original Article


1 W.M. Farouk Mechanical Engineering department, Faculty of engineering. (Benha), Benha. University,

2 Ahmed Mohamed Mechanical Design Department, Engineering Faculty, Minia University, Egypt.

3 Wagih Marzouk Mechanical Design Department, Engineering Faculty, Minia University, Egypt.

4 Faiz Abo ghriba Mechanical Design Department, Engineering Faculty, Minia University, Egypt

5 El-Awady Attia Industrial Engineering Department, College of engineering, Prince Sattam Bin Abdulaziz.University, Alkharj, Saudi.Arabia. & Mechanical Engineering department, Faculty of engineering (Shoubra), Benha University, Cairo, Egypt.


The current study investigates the behavior of the grooving process of stainless steel X10CrNiTi18-9 that produced by CO2 laser turning process. The response surface methodology is adopted to explore this behavior, and conclude the effect of the laser control working conditions on the different quality aspects of the machined groove. The input variables of the study include Laser power (LP), assistance gas (oxygen) pressure (AGP), feed rate (FR) and motor rotating speed (RS). While the metal removal rate (MRR), depth of cut (DC), upper cut width (UC), lower cut width (LC) and root roundness error (RE), are considered as the responses. Using ANOVA analysis, the critical parameters and the associated levels are identified for the optimal combination. The results are modelled and illustrated to closely understand the effect and surface quality of CO2-Laser turning process. Results indicate that, MRR, DC, and UC increase with increasing LP and AGP, but they decrease with the increase of FR and RS. There is an interaction effect between (LP and FR) and (LP and RS) on each of LC and RE. The optimal combination of machining conditions reached at LP=3000 watt, AGP=0.6 bar, FR= 200 mm/min, RS= 30 rpm. which maximize MRR (0.5095 g/min), DC (0.6870 mm), UC (0.7028), LC (0.3057) and minimize RE to 16.3230 µm. The optimal conditions were validated laboratory. A small deviate between the optimum experimental results and the predicted values were noticed for MRR (1.8%), DC (2.3%), UC (7.3%), LC (9.2%), and RE (3.2%).


Volume 45, Issue 3
Vol. 45, No.3 issued on 1/7/2022 in 5 Parts: Part (1) Electrical Engineering, Part (2) Mechanical Engineering, Part (3): Production Engineering, Part (4): Civil Engineering, Part (5) Architectural Engineering.
July 2022
Pages 319-340