Experimental Investigations and Pareto Optimization of Fiber Laser Cutting Process of Ti6Al4V

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...

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Bibliographic Details
Published in:Metals (Basel ) 2021-09, Vol.11 (9), p.1461
Main Authors: Vora, Jay, Chaudhari, Rakesh, Patel, Chintan, Pimenov, Danil Yurievich, Patel, Vivek K., Giasin, Khaled, Sharma, Shubham
Format: Article
Language:English
Subjects:
Accuracy
Aerospace engineering
analysis of variance
Corrosion resistance
Cutting parameters
Cutting speed
Dross
Experiments
fiber laser cutting
Fiber lasers
Gas pressure
Heat
Heat transfer
HTS algorithm
Kerf
Laser arrays
Laser beam cutting
Lasers
machining
Material removal rate (machining)
Optimization techniques
Orthogonal arrays
Pareto optimization
Process parameters
Search algorithms
Surface roughness
Taguchi
Ti6Al4V
Titanium alloys
Titanium base alloys
Variance analysis
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Summary: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.
ISSN:2075-4701
2075-4701
DOI:10.3390/met11091461