A multi-axis additive manufacturing and forming sequence optimization method

Abstract

The invention discloses a multi-axis additive manufacturing forming sequence optimization method, which comprises the following steps of obtaining triangular mesh model feature points based on interactive selection, and generating an initial segmentation line by utilizing a tracking projection algorithm; preliminarily segmenting the model into a plurality of sub-blocks by utilizing a region growing algorithm based on the initial segmentation line, and preliminarily sorting the sub-blocks according to the segmentation boundary information; taking the minimum support and the step effect as optimization objective functions, and using a multi-objective optimization algorithm to solve the optimal forming direction of the sub-block; establishing an optimized segmentation plane through the initial segmentation line and the optimal forming direction of the sub-block to smooth the segmentation boundary of the sub-block; and taking the optimization constraint as an optimization objective function, and optimizing the multi-axis additive manufacturing forming sequence of the segmented sub-blocks by utilizing a multi-objective optimization algorithm on the premise of meeting the physical constraint. According to the method, the flexible and optimized segmentation of the triangular mesh model can be achieved, and the forming surface quality and the forming efficiency are improved.

Description

technical field [0001] The invention belongs to the field of additive manufacturing, in particular to a method for optimizing the forming sequence of multi-axis additive manufacturing. Background technique [0002] The typical two-axis semi-additive manufacturing technology can manufacture parts of any complex shape with relatively simple equipment, but it needs to add a lot of support when manufacturing some multi-branch complex parts, which wastes wire materials and consumes time; secondly, for some parts that need to be added The surface of the part that can be printed and formed only when it is supported, the surface quality of the supported part is poor after the support is removed; moreover, since it is only formed along one direction, the step effect of the surface with a large angle with the forming direction is more obvious, which will also cause surface quality poor. Therefore, some researchers began to consider multi-axis molding methods with more degrees of free...

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Problems solved by technology

In the method of scanning and segmentation of these geometric objects, the preset scanning direction limits the flexibility of segmentation, it is difficult to obtain optimal segmentation, and it may cause over-segmentation

(3) In the academic paper "Slicing algorithms for multi-axis 3-D metal printing of overhangs" published in the academic journal "Journal of Mechanical Science and Technology" 2015, 29(12), P5139-5144, Lee Kyubok et al. The lower contour of the adjacent two layered contours is scanned along the layering direction to segment the model. The layering direction of this method also limits the flexibility of segmentation, making it difficult to obtain optimal segmentation, and may cause over-segmentation; (4) In the academic paper "Process planning strategies for solid freeform fabrication of metal parts" published by Ren Lan et al. in the academic journal "Journal of Manufacturing Systems" 2008, 27, P158-165, the midpoint of the slice contour area based on three parallel coordinate planes constitutes the central axis Finally, the model is segmented based on the central axis; for the model structure whose cross-sectional area changes but the central axis remains unchanged, a suitable plane is constructed based on the concave feature ring to segment the model

[0006] In short, the current research on the molding process planning of multi-axis additive manufacturing mainly focuses on the model segmentation and molding, but there is no flexible and optimal segmentation direction, and the molding sequence planning with fast segmentation needs further research. Therefore, It is necessary to propose a new technical solution for the forming process planning of multi-axis additive manufacturing

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