3D Printing Design And Personalized Fabrication

3D printing enables efficient realization of physical objects from digital models,which fascinates both professionals and amateurs,and facilitates customized design and fast prototyping.The rapid development of desktop 3D printers makes it affordable and easy-to-use for home users,to turn their creative geometry design into reality.To fabricate a desired object,the user needs to create a 3D geometry first,typi-cally using commercial modeling software(e.g.,Maya and 3DS Max).Printing solid objects is also material-and time-consuming.Therefore,users resort to shell objects for fabrication in many applications.One grand challenge in fabricating shell objects is to guarantee satisfactory structural stabilities of fabricated objects.3D printing enables ev-erybody to easily fabricate 3D models.However,making a personalized item is still a nontrivial process for ordinary users as the input mesh must be edited carefully.Creat-ing a personalized item is traditionally a cut-and-try process which requires moderate attempts and experiences.We propose several approaches to investigate the problems mentioned above:? We present an approach to fabricate shell objects with thickness parameters,which are computed to maintain the user-specified structural stability.Given a boundary surface and user-specified external forces,we optimize the thickness parameters according to stress constraints to extrude the surface.Our approach mainly con-sists of two technical components:First,we develop a patch-based shell simula-tion technique to efficiently support the static simulation of extruded shell objects using finite element methods.Second,we analytically compute the derivative of stress required in the sensitivity analysis technique to turn the optimization into a sequential linear programming problem.Experimental results demonstrate that our approach can optimize the thickness parameters for arbitrary surfaces in a few minutes and well predict the physical properties,such as the deformation and stress of the fabricated object.? We present a computer-aided method to help casual users design a personalized roly-poly toy and fabricate it through 3D printing with reduced material usage and sufficient stability.Our approach is able to make an arbitrary model to swing like a roly-poly.Since the delicate equilibrium condition between the center of mass of the roly-poly toy and the shape of the hemisphere is satisfied,our optimized toys can regain balance by themselves when they are pushed over.We also favor a well-balanced shape and a larger amplitude of swing without reducing the motion stability.Our method provides a novel easy-to-use means to design an arbitrary roly-poly toy with an ordinary 3D printing machine,extricating amateurs from the dilemma of finding extra weight to balance the shape.The effectiveness of our method are validated by various results.? Based on a tailer-made 3D food printer,we present a novel personalized food print-ing framework driven by portrait images.Unlike common 3D printers equipped with materials such as ABS,Nylon and SLA,our printer utilizes edible materials such as maltose,chocolate syrup,jam to print customized patterns.Our frame-work automatically converts an arbitrary input image into an optimized printable path to facilitate food printing,while preserving the prominent features of the im-age.This is achieved based on two key stages.First,we apply image abstraction techniques to extract salient image features.Robust face detection and sketch syn-thesis are optionally involved to enhance face features for portrait images.Sec-ond,we present a novel path optimization algorithm to generate printing path for efficient and feature-preserving food printing.We demonstrate the efficiency and efficacy our framework using a variety of images and also a comparison with non-optimized results.We present an easy-to-use parametric image retouching method to facilitate portrait food printing for thinning or fattening a face in a single portrait image while maintaining a close similarity to the source image.