Toolpath planning optimization for end milling of free-form surfaces using a clustering algorithm
Résumé
A two-step approach to address the toolpath planning optimization problem is introduced. The first step divides the surface into zones with similar local geometric properties in order to improve efficiency of toolpath planning algorithms. To do this, an unsupervised clustering algorithm (like K-means) is used on a mesh defined by isoparametric curves. The second step applies a toolpath planning algorithm to each zone, according to its optimal machining direction. This optimal direction is calculated using a black-box optimization software. The final goal is to enhance gradually the formulation of the optimization problem to obtain better and better results.
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