Toolpath planning optimization for end milling of free-form surfaces using a clustering algorithm
نویسندگان
چکیده
A two-step approach to address the toolpath planning optimization problem is introduced. The first step divides surface into zones with similar local geometric properties in order improve efficiency of tool-path algorithms. To do this, an unsupervised clustering algorithm (like K-means) used on a mesh defined by isoparametric curves. second applies each zone, according its optimal machining direction. This direction calculated using blackbox software. final goal enhance gradually formulation obtain better and results.
منابع مشابه
Study of the effective cutter radius for end milling of free-form surfaces using a torus milling cutter
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ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2021
ISSN: ['2212-8271']
DOI: https://doi.org/10.1016/j.procir.2021.03.021