Design And Optimization Of Support Structure For 3D Printing Model

3D printing is one of fast manufacturing technology,one of whose advantages is manufacturing products from the 3D model directly.It reduces the developing and manufacturing cycles.Furthermore,it does not increase the manufacturing cost for the complicated models.In recent years,3D printing technology is becoming the hot researches in the manufacture fields.In real application,a lot of models can not be printed directed because of the characteristics of single direction printing of the current 3D printers.It is needed to preprocess the 3D models,which includes model decomposition,support structure design,model slicing and so on.In this thesis,the main work focus on support structure design,the details are as follows:1)An improved image manufacturing scheme using Poisson sampling isproposed.Image manufacture method obtained the candidate support regions by analyzing the overlapping relationship between the neighboring slices.Then the support structure could be obtained by equal space sampling.However,this kind of sampling method has not considered the shape characteristics of the candidate regions.In this paper,a Poisson disk sampling algorithm is utilized to replace the equal space sampling.And an improve scheme is proposed.The experimental results show that the proposed scheme can save the printing material with the equal supporting strength.2)A MFS based inner support structure is proposedIt is obvious that the solid model wastes the printing materials,therefore,it is reasonable to generate the inner support structure with the required strength.Considering the characteristics of MFS,it is possible to generate the support structure from 2D to 3D.First,the intersection image of the MFS is obtained.The binary image could be obtained by image segmentation and thresholding.And then the MFS image and the slice image are fused by “AND” operation,the support structure for the slices could be obtained.Finally,Matching Cubic algorithm is utilized to generate the 3D structures from the series of 2D slices.Furthermore,a strength adaptive scheme is proposed to design the support structure.First the required strength to each slice are computed by considering both the exerted force and the weight of the model,then the support structure is optimized based the strength requirements.The proposed scheme has the characteristics of slice analysis methods,it is simple and high efficient.3)A hybrid inner support structure is proposedExisting support structure design schemes using single structures have not utilize the features of the models and they are inefficient.To address this problem,a novel scheme is proposed to design a hybrid inner support structure.First,the model is decomposed into two kinds of components: Verified column structure(VCol)and Non column structure(NCol),from the SDF based shape analysis and the mechanical analysis.And then by analyzing the characteristics of two kind of components,the inner structures are designed for the corresponding components.For the Vcol components,the axial stress is dominant,based on this idea,a MFS structure is designed for it.For the NCol structure,it has not the dominant stress,a TCS structure is designed.Furthermore,a transient structure is designed to connect the neighboring components.It includes the transient layer and the support columns to augment support to the TCS structures.The experimental results show the following: 1)The support columns in the transient structure is necessary.2)The hybrid structure is more efficient than the single structures.3)The proposed hybrid structure has the same strength as the start-of-the-art algorithms with the least printing material cost.