The current paper investigates the performance of armored steel (500HB) when machined by CO 2 laser turning process (LTP) with oxygen gas assistance for grooving operation. The different working parameters were investigated which include; laser power (P), gas pressure (GP) feed rate (F) and motor speed (S). The different groove dimensions and were considered as the model responses which include; depth of cut (DC), upper cut width (UC) and lower cut width (LC), in addition to the performance aspects of root round error and metal removal rate (MRR). For this purpose, a test rig was designed and fabricated. The experimental results are mathematically modeled by response surface methodology. The results are modeled and illustrated to closely understand the effect and surface quality of CO 2 -LTMP. The optimum process conditions for grooving Armored Steel (500HB) were identified. Results showed that, DC and width of cut and roundness error increase with increasing P and GP, but MRR decreases with increasing F. The motor speed has a moderate effect on the machining process of armored steel under investigation. The optimal combination of machining conditions maximized MRR, DC, LC, UC and minimized root round error to 0.0384 gm, 0.6632 mm, 0.2583 mm, 0.4684 mm and 15.7832 µm respectively. The error between optimum experimental results and the optimum predicted values for MRR, DC, LC, UC and root round error lie within 2.8%, 2.6%, 2.9%, 1% and 6.9%, respectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.