An asymptotic numerical method for inverse elastic shape design

Chen, Xiang; Zheng, Changxi; Xu, Weiwei; Zhou, Kun

doi:10.1145/2601097.2601189

Cited by 80 publications

(76 citation statements)

References 36 publications

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“…In parallel, numerous computational methods have been devised for fabricating shapes with desired geometric (e.g., [Chen et al 2014]), physical (e.g., [Bickel et al 2010;Stava et al 2012;Skouras et al 2013]) and reflectance properties (e.g., [Weyrich et al 2009;Lan et al 2013]). Perhaps equally important as the shape fabrication are methods that color the surface of a fabricated piece Figure 1: Colorful Bunny.…”

Section: Introductionmentioning

confidence: 99%

Computational hydrographic printing

et al. 2015

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Hydrographic printing is a well-known technique in industry for transferring color inks on a thin film to the surface of a manufactured 3D object. It enables high-quality coloring of object surfaces and works with a wide range of materials, but suffers from the inability to accurately register color texture to complex surface geometries. Thus, it is hardly usable by ordinary users with customized shapes and textures.We present computational hydrographic printing, a new method that inherits the versatility of traditional hydrographic printing, while also enabling precise alignment of surface textures to possibly complex 3D surfaces. In particular, we propose the first computational model for simulating hydrographic printing process. This simulation enables us to compute a color image to feed into our hydrographic system for precise texture registration. We then build a physical hydrographic system upon off-the-shelf hardware, integrating virtual simulation, object calibration and controlled immersion. To overcome the difficulty of handling complex surfaces, we further extend our method to enable multiple immersions, each with a different object orientation, so the combined colors of individual immersions form a desired texture on the object surface. We validate the accuracy of our computational model through physical experiments, and demonstrate the efficacy and robustness of our system using a variety of objects with complex surface textures.

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Section: Introductionmentioning

confidence: 99%

Computational hydrographic printing

et al. 2015

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“…This approach is better justified physiologically, because human bodies naturally grow in a gravitational field. One complication is that we would ultimately have to cancel the effect of gravity before simulation [Chen et al 2014], because simulation reintroduces gravity along with other effects such as inertia. We prefer to avoid these complications by decoupling the effects of growth and gravity.…”

Section: Fat Growthmentioning

confidence: 99%

Computational bodybuilding

2015

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Figure 1: Given an input 3D anatomy template, we propose a system to simulate the effects of muscle, fat, and bone growth. This allows us to create a wide range of human body shapes. AbstractWe propose a method to create a wide range of human body shapes from a single input 3D anatomy template. Our approach is inspired by biological processes responsible for human body growth. In particular, we simulate growth of skeletal muscles and subcutaneous fat using physics-based models which combine growth and elasticity. Together with a tool to edit proportions of the bones, our method allows us to achieve a desired shape of the human body by directly controlling hypertrophy (or atrophy) of every muscle and enlargement of fat tissues. We achieve near-interactive run times by utilizing a special quasi-statics solver (Projective Dynamics) and by crafting a volumetric discretization which results in accurate deformations without an excessive number of degrees of freedom. Our system is intuitive to use and the resulting human body models are ready for simulation using existing physics-based animation methods, because we deform not only the surface, but also the entire volumetric model.

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“…Simulation based optimization has been widely applied to make sure the fabricated object possesses the desired structural robustness [25][26][27], kinematic constraints [28,29], and deformable behavior [30][31][32]. There are also many contributions trying to unify the simulation and the design processing.…”

Section: Related Workmentioning

confidence: 99%

Interactive design and simulation of tubular supporting structure

Luo

Zhu

et al. 2015

Graphical Models

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a b s t r a c tThis paper presents a system for design and simulation of supporting tube structure. We model each freeform tube component as a swept surface, and employ boundary control and skeletal control to manipulate its cross-sections and its embedding respectively. With the parametrization of the swept surface, a quadrilateral mesh consisting of nine-node general shell elements is automatically generated and the stress distribution of the structure is simulated using the finite element method. In order to accelerate the complex finite element simulation, we adopt a two-level subspace simulation strategy, which constructs a secondary complementary subspace to improve the subspace simulation accuracy. Together with the domain decomposition method, our system is able to provide interactive feedback for parametric freeform tube editing. Experiments show that our system is able to predict the structural character of the tube structure efficiently and accurately.

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An asymptotic numerical method for inverse elastic shape design

Cited by 80 publications

References 36 publications

Computational hydrographic printing

Computational hydrographic printing

Computational bodybuilding

Interactive design and simulation of tubular supporting structure

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