Study On 3D Printing Position Optimization Technology Of Thin-walled Parts

The rise of 3D printing technology has promoted the development of the manufacturing industry,and its extensive application fields have prompted the research of its core technology to become a research hotspot.Among them,when the stereo lithography 3D printing technology is used in the manufacture of thin-walled part models,the support is often added irrationally due to the indefinite placement of the 3D printed model.When the support is removed,the residual scratches affect the surface quality,and the printing position is different.The layering direction is different,resulting in different steps of the workpiece after printing and forming,which will affect the surface quality of the part.In response to the above problems,this topic proposes a strategy for optimal selection of 3D printing positions for thin-walled partsBecause the feature information of thin-walled parts is unknown,in order to ensure the data reliability of the prototype of the thin-walled parts and facilitate the subsequent optimization research,this topic first adopts the reverse engineering idea and selects point cloud acquisition technology and point cloud processing technology to obtain multiple thin parts.Wall workpieces accurately represent point cloud data;through model reconstruction and analysis techniques,STL models with dimensions and characterization data that meet the requirements of the workpiece are designed.Secondly,to carry out research on the relationship between the area to be supported and the support volume and the space angle of the printing position change,create an optimization algorithm,and use MATLAB to achieve programming and analytical solutions.After studying the pre-processing software that changes with the 3D printing position,the support volume is added automatically,and the support volume change calculated and analyzed by this algorithm proves that the algorithm in this paper can accurately predict the change trend of the support volume and determine the optimal solution.Carry on the simulation analysis of the step effect and construct a 3D printing simulation model with equal layer thickness.By manufacturing obvious step effect,comparing the simulation model formed at different printing positions with the prototype data of the parts,an error analysis is conducted to preliminary verify the feasibility of the optimization test in this paper.Then,the actual 3D printing was performed,and the contact measurement of the molded parts was carried out,including the size analysis and the surface roughness analysis due to the step effect.The results proved that the optimization results in this paper were feasible and further verified the optimization scheme.Finally,the application of engineering examples is printed,which proves the ultimate effectiveness and rationality ofthe optimization scheme.In this paper,through the optimization research on the 3D printing position of thin-walled parts,the 3D printing position optimization strategy for thin-walled parts can reasonably select the 3D printing position of the parts,make the support addition reasonable,reduce the cost,and reduce the step effect on the The influence of the surface quality of parts can provide technical guidance for workers who are just engaged in 3D printing,and provide references for 3D printing experiment teaching in colleges and universities.