Optimization And Implementation Of Adaptive Offset Contour Path Algorithm

Path planning is a key factor affecting the accuracy and efficiency of 3D printing.Most industrial metal parts have the characteristics of high dimensional accuracy requirements and uneven edges.At the same time,metal materials also have the characteristics of thermal conductivity and diffusivity,which can easily lead to material accumulation,wire drawing,deformation or warpage of shaped parts,which eventually leads to shaped parts The size and quality are not up to standard.Therefore,it is of practical significance to study the path planning optimization algorithm in combination with the characteristics of metal materials.Firstly,this paper compares and analyzes several existing path planning algorithms,and selects offset contour path planning algorithms suitable for printing on metal materials.The 3D printed STL model is also introduced.The slicing process of the STL model is studied,and the sliced data is obtained,that is,the initial outer contour data.Then this paper proposes an optimized path planning algorithm.The implementation of the algorithm is divided into three main processes.The first step is to use the feature point method or the area method to determine the transition layer of the contour.The path of the transition layer uses the currently existing offset offset contour algorithm.The second step uses the Bezier curve to smooth the inner contour of the transition layer,which can greatly reduce the number of inflection points in the path.And the distance between the smooth inner contour layer and the transition layer is detected,and a new partition is generated for printing at an excessively large gap.In the meantime,internal and external contour judgment algorithms and collision detection detection algorithms are used to avoid path intersection or overlap.The third step uses local and global path optimization processing to further smooth the path and round the sharp corners,which can reduce the material heat accumulation and printer stalls.This experiment designed a visualization system to compare and analyze the effects before and after optimization.In order to verify the practicability of the algorithm in this paper,the test model includes a simple single-connected model and a complex multi-connected model.The detail comparison graph before and after the inflection point optimization and the path straightening comparison graph show the optimization effect.Finally,the inflection points in the generated path are also calculated.The number,the number of path divisions,and the filling rate are further verified by the statistical number.