A Multi-tool Optimal Combination Selection Method for NC Machining with Triangular Mesh Model

Abstract

The invention discloses a multi-cutter optimization combination selection method for triangular grid model numerical control processing, and the method comprises the steps: reading in a triangular grid model and building topological information; enabling the model to be segmented into a plurality of feature subregions based on a patch normal vector and a patch principal curvature; carrying out thequick cutter interference inspection of the feature regions which may generate interference, and obtaining a cutter interference region; employing different cutter track generation strategies for different types of feature subregions, and estimating the lengths of tracks based on a corresponding line spacing calculation formula through cutter track length estimation models of all feature regions;determining the smallest cutter according to the maximum principal curvature of a triangular patch and a standard cutter size, and employing a genetic algorithm to optimize other cutters. The methodcan obtain a high-efficiency processing cutter combination of a complex triangular grid model more effectively and precisely.

Description

Technical field [0001] The invention belongs to the technical field of numerical control processing, and particularly relates to a method for selecting a multi-tool optimal combination for numerical control processing of a triangular mesh model. Background technique [0002] In CNC machining, large-size tools are generally used to improve processing efficiency. However, for complex geometric models, there are often interference areas that cannot be processed by large-size tools. Therefore, small-size tools are also required to process the interference area. For complex geometric models, there may be a large gap in the processing efficiency of different tool combinations, so the optimal combination of tools is also an important research content in the field of CNC machining. [0003] At present, in terms of tool combination optimization, a lot of research on mold 2.5D cavity has been done at home and abroad and relatively mature research theories have been obtained. These theories h...

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Problems solved by technology

However, this method uses a single estimation model for the entire model when estimating the trajectory length, and does not consider the influence of different surface features on the tool trajectory length, and the trajectory length estimation is not accurate.

The academic paper "Cutting Tool Combination and Machining Strategy Affectation Based on the Determination of Local Shapes for Free form Surfaces" published by Bey M et al. at the academic conference "International Conference on Smart Manufacturing Application, 2008" considers the impact of different types of regions on processing time , but only the parallel section method and contour line method are considered in the processing strategy, and the tool path must be generated when the simulation method is used to obtain the processing time, which affects the efficiency

[0004] In short, in the existing methods of tool combination optimization for surface models, the influence of model geometry on machining is not fully considered, but the result of low precision is used as the criterion for optimization selection to select the optimal tool combination, resulting in the accuracy of the algorithm. The performance needs to be further improved; at the same time, it is also necessary to adopt a suitable tool optimization combination method to further enhance the adaptability

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