A Study Of Optimization Of Slicing Direction And Slicing Algorithm In 3D Printing

In recent years, 3D printing has been widely used in many areas of our daily life, science and technology and economic development, such as biological reproductive organs, aerospace, constructional engineering, industry manufacture and so on. 3D printing not only depends on 3D printers and other hardware equipment, but also 3D printing slicing software which mainly focuses on the simplification of slicing algorithm and has made significant achievements to completing the printing process. With the promotion of the areas of 3D printing application, the effect of slicing direction on surface quality and building time is becoming more and more prominent, hence the optimization of the slicing direction has become a research hot spot on 3D printing.Through the study of slicing process of 3D printing, with the analysis of the causes for volume deviation, the paper creates its mathematical prototype to contacting with the slicing direction. With the objective function of the volume deviation, the paper proposes the adaptive fast extraction algorithm for slicing direction, which solves the problems of low time efficiency and large volume deviation that exits in the present optimization algorithm for slicing direction. In order to make an experimental analysis of the slicing algorithm, by the study of basic principle, advantages and disadvantages of present slicing algorithms, this paper proposes a slicing algorithm based on the topology information and location relationship.Firstly, this paper makes a study of the adaptive fast extraction algorithm for slicing direction. Through the research of the objective function of the volume deviation, the size of the model surface area and the angel between the normal of the model surface and slicing direction are found two main parameters. Secondly, the above two parameters can been reduced into a comprehensive parameter that can express the model geometry information by weighting the area of the triangle facet of the STL model with its normal. Through the principal component analysis of this comprehensive parameter set, three eigenvectors are obtained as candidate slicing direction. At last the optimal slicing direction is obtained based on the initial objective function. The experimental evaluation shows that this method is simple in implementation, high intime efficiency, suitable for the complex geometric model, the lowest volume deviation under the obtained slicing direction and has a significant application prospect.Secondly, the paper studys the proposed slicing algorithm based on topology information and position relationship of triangular planar facets. Through the analysis of STL model, slicing algorithm based on the model mainly faces three difficulties- the triangle mixed and disorderly, disorder, a large number. Studied the existing the basic principle and realization process of three types of slicing algorithm based on the model, and found the position can reduce triangle search times, topology information can reduce intersection calculation and avoid the order of intersecting line in the outline, through the combination of the two effective, one slicing algorithm is proposed in this paper. Experimental results shows that, the algorithm is simple, time efficiency is high, and can obtain closed, complete layered outline.