Abstract
In the current study, laser cutting of Ti6Al4V was accomplished using Taguchi’s L9 orthogonal array (OA). Laser power, cutting speed, and gas pressure were selected as input process parameters, whereas surface roughness (SR), kerf width, dross height, and material removal rate (MRR) were considered as output variables. The effects of input variables were analyzed through the analysis of variance (ANOVA), main effect plots, residual plots, and contour plots. A heat transfer search algorithm was used to optimize the parameters for the single objective function including higher MRR, minimum SR, minimum dross, and minimum kerf. A multi-objective heat transfer search algorithm was used to create non-dominant optimal Pareto points, giving unique optimal solutions with the corresponding input parameters. For better understanding and ease of selection of input parameters in industry and by scientists, a Pareto graph (2D and 3D graph) is generated from the Pareto points.
Highlights
Titanium and its alloys have a good strength-to-weight ratio that is retained even at elevated temperatures [1,2,3]
On the basis of the previous literature, laser power, cutting speed, and gas pressure were selected as the input process parameters, while surface roughness, kerf width, dross height, and material removal rate were considered as output variables in the current investigation
Laser power, cutting speed, and gas pressure were selected as the input process parameters, while surface roughness, kerf width, dross height, and material removal rate were considered as the output variables for this investigation
Summary
Titanium and its alloys have a good strength-to-weight ratio that is retained even at elevated temperatures [1,2,3]. Ti6Al4V is one of the most widely used alloys of titanium, especially in the aerospace industry It has a better corrosion resistance compared to materials such as stainless steel and cobalt alloys. The ever-increasing manufacturing competitiveness in the present scenario makes the adoption of newer machining technologies more desirable. Challenges such as achieving higher accuracy, better surface finish, increased production rate, and enhanced product life with minimum impacts on the environment, machine operators, and society are of great importance.
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