Article: RSM-based optimisation of machining forces and surface roughness when laser-assisted turning Nitinol alloy Journal: International Journal of Materials and Product Technology (IJMPT) 2023 Vol.66 No.2 pp.107 - 134 Abstract: In the current investigation, the interrelation between parameter attributes, namely, laser power, cutting speed, feed rate, and depth of cut on machining forces [thrust force (Fx), feed force (Fy) and cutting force (Fz)] and surface roughness (SR) in laser-assisted turning (LAT) of Nitinol alloy using TiAlN PVD coated carbide inserts has been discussed. Experiments were performed using response surface methodology (RSM) and face centred central composite design (FCCD). Statistical techniques such as analysis of variance (ANOVA) and RSM were used to evolve regression models and to arrive at optimum parameter attributes. Results from the current research suggests that cutting speed and feed rate have superior impact on thrust force and cutting force, while feed rate and laser power are the most prominent important attributes for feed force. For SR, speed and cutting depth are the most prominent attributes. The optimum LAT parameters obtained through desirability function include power of 450 watts, cutting speed of 75 m/min, feed of 0.025 mm/rev and depth of cut of 0.5 mm with predicted machining forces of Fx = 123 N, Fy = 154 N and Fz = 102 N and surface roughness of 0.653 μm at 0.995 desirability level. Inderscience Publishers - linking academia, business and industry through research

Title: RSM-based optimisation of machining forces and surface roughness when laser-assisted turning Nitinol alloy

Authors: Chakala Naresh; P.S.C. Bose; N. Selvaraj

Addresses: Department of Mechanical Engineering, Kakatiya Institute of Technology and Science, Warangal, P.O. Box 506014, Telangana, India ' Department of Mechanical Engineering, National Institute of Technology, Warangal, P.O. Box 506004, Telangana, India ' Department of Mechanical Engineering, National Institute of Technology, Warangal, P.O. Box 506004, Telangana, India

Abstract: In the current investigation, the interrelation between parameter attributes, namely, laser power, cutting speed, feed rate, and depth of cut on machining forces [thrust force (F_x), feed force (F_y) and cutting force (F_z)] and surface roughness (SR) in laser-assisted turning (LAT) of Nitinol alloy using TiAlN PVD coated carbide inserts has been discussed. Experiments were performed using response surface methodology (RSM) and face centred central composite design (FCCD). Statistical techniques such as analysis of variance (ANOVA) and RSM were used to evolve regression models and to arrive at optimum parameter attributes. Results from the current research suggests that cutting speed and feed rate have superior impact on thrust force and cutting force, while feed rate and laser power are the most prominent important attributes for feed force. For SR, speed and cutting depth are the most prominent attributes. The optimum LAT parameters obtained through desirability function include power of 450 watts, cutting speed of 75 m/min, feed of 0.025 mm/rev and depth of cut of 0.5 mm with predicted machining forces of F_x = 123 N, F_y = 154 N and F_z = 102 N and surface roughness of 0.653 μm at 0.995 desirability level.

Keywords: machining forces; Nitinol alloy; response surface methodology; RSM; optimisation; laser-assisted turning; LAT; central composite design; desirability; surface roughness.

DOI: 10.1504/IJMPT.2023.128770

International Journal of Materials and Product Technology, 2023 Vol.66 No.2, pp.107 - 134

Accepted: 01 Dec 2021
Published online: 03 Feb 2023 *

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Title: RSM-based optimisation of machining forces and surface roughness when laser-assisted turning Nitinol alloy

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