Shape Optimization For Models With Complex Details In Digital Fabrication

Recent years have seen a growing interest in 3D printing technologies,Enabling the physical realization of a large of variety of shape classes.In general,printability of 3D models requires the models to be structurally sound,with geometry details that are larger than printer solution and self-supported.Most of the models can survive the printing process.They even have enough editing space to be optimized for better appearance,new functionality,and special physical features.However,the complex models like hair,tree,or biology structures,have a large amount of geometry details,high surface-volume ratio,complex stress distribution,which bring many challenges to the 3D manufacturing.If it should be printed,it would be very fragile.There are some related works about complex models.They usually use simplification or abstraction to replace the original details.But they rarely consider the physical issues like printability and stability.Even though some of the complex models(like hair)are printed out,they use too much stylization to get output model,which is far from the original one.Tree is a typically kind of complex models which have irregular patterns,large amount geometry details,and poor self-stability.In this paper,and we take it as one example to explore the complex model 3D printing method from both geometry and physical side.We mainly consider the printability in geometric optimization.We take care of the leaves and branches respectively to keep appearance and printability.We mainly consider the stability of the trees in physical optimization.The stress distribution optimization involves the tilting and thickening operation assisted by OOFEM analysis.To prove our efficiency,we did physical tests.As the experiment shows,the optimization result matches the expectation perfectly.Then we made the expanding on more other complex models to make our models more general.