Modeling the particle flow mechanisms in orthogonal cutting of turning processes is a vital task in mechanical engineering. This paper presents a new approach that differs from techniques like finite element analyzes (FEA) or molecular dynamics (MD). Using symbolic regression, a genetic programming system evolves mathematical formulae that describe the trajectories of single particles of steel recorded during the turning process by a high-speed camera.
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