| In recent years,3D printing technology,as a product of the combination of rapid prototyping technology and rapid manufacturing technology,has obvious advantages of simpler,lower consumption and more efficient than traditional processing methods.As a relatively mature technology in 3D printing,fused deposition modeling(FDM)has been widely popular.However,there are some problems in the surface precision and forming efficiency of the sample,which seriously restricts the development of 3D printing technology.Therefore,it is necessary to explore this problem in depth.In this paper,how to balance the surface precision and forming efficiency in the melt deposition molding technology is studied scientifically.The influence of several important parameters on the molding specimen is explored through orthogonal experiment,and the most important influencing factor-Delamination thickness is found out.Then,the algorithm of initial delamination thickness is optimized and simulated by numerical calculation and simulation technology based on MATLAB Finally,the feasibility of the algorithm is proved by an example.The main works are as follows:(1)Using the method of literature research,this paper studies the current situation of FDM printing technology at home and abroad from two aspects of molding process and layered algorithm.The main error factors,such as principle error,processing error and post-processing error,which affect the development of FDM technology,are systematically analyzed,and the target process parameters are determined.(2)The orthogonal experimental design method is used to design the experiment scheme of three objective process parameters,namely layer thickness,printing temperature and printing speed.The height error,peripheral error,inner diameter error,roughness and other parameters are measured and calculated.Variance analysis method was used to analyze the data,and the influence degree of each factor on the surface precision of the molding specimen was obtained,and the optimal combination of printing parameters was determined.According to the analysis results,it is concluded that the optimization layered algorithm is an effective way to solve the molding problem.(3)In this paper,two existing adaptive slicing algorithms based on STL format are analyzed,and the data processing method based on normalization is used to optimize and improve the adaptive layering algorithm based on the area difference of adjacent contours.Through MATLAB programming,the model is simulated with equal thickness of 0.3mm and 0.1mm respectively,and the simulation results are compared with the improved adaptive stratification algorithm.The results show that the algorithm can significantly reduce the dimensional impact caused by different evaluation indexes,and better solve the problem that the forming efficiency and the surface precision of the formed specimen can not be considered.(4)Based on the G-code generated by Cura slicing software.The G-code of the equal layer thickness layering algorithm is exported and manually rewritten,so that it can print entity according to the layering mode simulated by MATLAB software.Finally,it is imported into 3D printer to verify the adaptive layering algorithm.By comparing and analyzing the measurement of printing time and surface roughness of printed parts with the equal layer thickness algorithm,the example verification results show that the self-adaptive sub-layer algorithm is used in this paper.The layer algorithm can improve the forming efficiency by 34.6% and the forming accuracy by12.9%. |
PDF Full Text Request