Good vibrations: modal dynamics for graphics and animation
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Algorithm 832: UMFPACK V4.3---an unsymmetric-pattern multifrontal method
ACM Transactions on Mathematical Software (TOMS)
Real-Time subspace integration for St. Venant-Kirchhoff deformable models
ACM SIGGRAPH 2005 Papers
Physical reproduction of materials with specified subsurface scattering
ACM SIGGRAPH 2010 papers
Fabricating spatially-varying subsurface scattering
ACM SIGGRAPH 2010 papers
Design and fabrication of materials with desired deformation behavior
ACM SIGGRAPH 2010 papers
Subspace self-collision culling
ACM SIGGRAPH 2010 papers
Voxel-based assessment of printability of 3D shapes
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Fabricating articulated characters from skinned meshes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Stress relief: improving structural strength of 3D printable objects
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Guided exploration of physically valid shapes for furniture design
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Chopper: partitioning models into 3D-printable parts
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
3D-printing of non-assembly, articulated models
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Cost-effective printing of 3D objects with skin-frame structures
ACM Transactions on Graphics (TOG)
Cross-sectional structural analysis for 3D printing optimization
SIGGRAPH Asia 2013 Technical Briefs
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Direct digital manufacturing is a set of rapidly evolving technologies that provide easy ways to manufacture highly customized and unique products. The development pipeline for such products is radically different from the conventional manufacturing pipeline: 3D geometric models are designed by users often with little or no manufacturing experience, and sent directly to the printer. Structural analysis on the user side with conventional tools is often unfeasible as it requires specialized training and software. Trial-and-error, the most common approach, is time-consuming and expensive. We present a method that would identify structural problems in objects designed for 3D printing based on geometry and material properties only, without specific assumptions on loads and manual load setup. We solve a constrained optimization problem to determine the "worst" load distribution for a shape that will cause high local stress or large deformations. While in its general form this optimization has a prohibitively high computational cost, we demonstrate that an approximate method makes it possible to solve the problem rapidly for a broad range of printed models. We validate our method both computationally and experimentally and demonstrate that it has good predictive power for a number of diverse 3D printed shapes.