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Dr. Wisam Mohamed Faruk Elsaied Kandil :: Publications:

Title:
Multi-response optimization and modeling of CO2 Laser turning process with (X10CrNiTi18-9) St.St assisted by O2 gas
Authors: Wisam.M. Farouk, Ahmed.M.Rezk, Wagih.W.Marzouk, Faiz.E.Abo Ghriba, El-Awady.A Attia
Year: 2022
Keywords: Laser turning process, Grooving operation, Stainless Steel X10CrNiTi18-9, Response surface methodology (RSM), Multiple responses optimization, Desirability method
Journal: Engineering Research Journal
Volume: 45
Issue: 2022
Pages: 319-340
Publisher: Faculty of Engineering Menoufia University
Local/International: Local
Paper Link:
Full paper Wisam Mohamed Faruk Elsaied Kandil_8.pdf
Supplementary materials Not Available
Abstract:

he 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 modeled 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%)

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