Orthogonal cutting simulation of EN AW 6082 T6 alloy using a coupled Eulerian-Lagrangian approach

The latest trends in machining research show that great efforts are being made to simulate machining processes. This paper presents the results of cutting force, feed force and temperatures when the orthogonal cutting of EN AW 6082 T6 alloy. Appropriate material model and damage model were investiga...

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Veröffentlicht in:Heliyon 2023-04, Vol.9 (4), p.e14821-e14821, Article e14821
Hauptverfasser: Dumanić, Ivana, Jozić, Sonja, Bagavac, Petra, Bajić, Dražen
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Sprache:eng
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Zusammenfassung:The latest trends in machining research show that great efforts are being made to simulate machining processes. This paper presents the results of cutting force, feed force and temperatures when the orthogonal cutting of EN AW 6082 T6 alloy. Appropriate material model and damage model were investigated in order to perform finite element simulation with Coupled Eulerian-Lagrangian (CEL) approach. In the next step, simulations were designed based on the input parameters. The size of element in the x-direction (2 μm–10 μm), size of element in y-direction (2 μm–10 μm) and width of the workpiece (2 μm–100 μm) are considered as controllable variables The Genetic Algorithm was used to identify the optimal process parameters by which the minimum value of cutting force error, the minimum value of feed force error and minimum simulation time will be achieved. The optimal combination of the process parameters is size of elements at x-direction 8 μm, y-direction 10 μm and width of workpiece 84 μm. By utilizing the optimal input parameters cutting force error was reduced from 6.5% to 1.07% and feed force error was reduced from 6.15% to 3.12%. The results showed that the optimum size and orientation of the finite element mesh can significantly reduce the error in the prediction of cutting forces and reduce processing simulation time. In addition, it was concluded that with the CEL approach, temperatures in the cutting zone can be successfully predicted.
ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2023.e14821