3D Printing Design Of Lightweight Structure Based On LDNIs

3D printing technology is in a high speed development phase now,but also faced with new opportunities and challenges constantly.In order to decrease the time cost and the material cost,this paper proposed a LDNI(Layer the Depth-Normal Images)model data structure.First,we researched the slicing algorithm and Boolean operation of LDNIs,and analyzed the related optimized parameters,finally made the relevant experiments,on the basis of lightweight,we could analyze the strength condition,and analyzed the model's advantages and disadvantages.In the first chapter,the background and research significance were introduced.The research status and development trend were analyzed from several key points,for example,the model lightweight introduce and the cavernous lightweight model's advantages and disadvantages in structure,physical conditions,etc.Finally put forward the research content and the framework of this paper.In the second chapter,the model algorithms based on LDNIs were studied.Mainly analyzed the model slicing algorithm and Boolean operation based on LDNIs.First studied the LDNIs' data structures,and then put forward some other algorithms,such as model slicing algorithm based on contour reconstruction and slicing algorithm based on topology.Finally,analyzed the advantages and disadvantages of algorithm based on LDNIs,and studied the Boolean operation based on LDNIs.In the third chapter,the 3D printing lightweight modeling on LDNIs was discussed.Firstly,some existing model lightweight solutions were introduced,then proposed two kinds of rules based on LDNs lightweight structure modeling,and optimized the lightweight model parameter.In order to meet the lightweight condition and reach the maximum intensity,ANSYS software was used to optimize the lightweight structure parameter.In the fourth chapter,the lightweight structure unit model filling algorithm was discussed.Mainly introduced from three aspects,the structure of the quantitative filling,the effective ball slice and effective ball.Then studied the two rules of the lightweight model which were arranged in the second chapter,and compared with the boundary of the traditional selection methods in the past,explained the boundary selection problem of the effective ball.Finally highlighted the advantages of the lightweight modeling of LDNIs,which could transfer the traditional Boolean operation from three dimensions to one dimension,and reflected its higher operation efficiency.In the fifth chapter,the strength and efficiency of the lightweight model were studied.First,the strength of these two different models was calculated by the experimental test platform,and then the efficiency of the algorithm and the calculation of the degree of the lightness were calculated through the software testing platform.In the sixth chapter,the conclusion and future work were discussed.