Modelling of anisotropic performance fabrics

McCartney, J.; Hinds, B. K.; Kelly, Damien

doi:10.1016/j.jmatprotec.2004.05.005

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Our elastic model is closely related to generic and data-driven models in textile engineering. Previous work includes a two-step linearization method [Kawabata et al, 1982], a bi-linear model [Ng et al, 2005], a data-driven elastic model based on energy relaxation [McCartney et al, 2005], and a data-driven bending model [Zhou and Ghosh, 1998]. While these models closely approximate the displacement-force relationship, we found that a simple piecewise linear model demonstrates distinctive elastic behaviors, fits well in a parameter optimization framework, and can be easily included in existing cloth simulators.…”

Section: Previous Workmentioning

confidence: 70%

Data-driven elastic models for cloth

Wang

O’Brien

Ramamoorthi

2011

ACM SIGGRAPH 2011 Papers

117

146

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a) Gray Interlock (b) Pink Ribbon Brown (c) Navy Sparkle Sweat (d) 11oz Black Denim (e) White Dots on Black Figure 1: When worn by the same mannequin model, shirts made of different cloth materials exhibit distinctive patterns of wrinkles and folds in our simulation. For example, the Gray Interlock shirt has many small wrinkles since it is compliant in stretching and bending, while the shirt made of the stiffer Pink Ribbon Brown material tends to form a few larger wrinkles. AbstractCloth often has complicated nonlinear, anisotropic elastic behavior due to its woven pattern and fiber properties. However, most current cloth simulation techniques simply use linear and isotropic elastic models with manually selected stiffness parameters. Such simple simulations do not allow differentiating the behavior of distinct cloth materials such as silk or denim, and they cannot model most materials with fidelity to their real-world counterparts. In this paper, we present a data-driven technique to more realistically animate cloth. We propose a piecewise linear elastic model that is a good approximation to nonlinear, anisotropic stretching and bending behaviors of various materials. We develop new measurement techniques for studying the elastic deformations for both stretching and bending in real cloth samples. Our setup is easy and inexpensive to construct, and the parameters of our model can be fit to observed data with a well-posed optimization procedure. We have measured a database of ten different cloth materials, each of which exhibits distinctive elastic behaviors. These measurements can be used in most cloth simulation systems to create natural and realistic clothing wrinkles and shapes, for a range of different materials.

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Section: Previous Workmentioning

confidence: 70%

Data-driven elastic models for cloth

Wang

O’Brien

Ramamoorthi

2011

ACM SIGGRAPH 2011 Papers

117

146

View full text Add to dashboard Cite

show abstract

“…Shear energy is introduced into analysis by calculating the angle differences of each mesh. It is optimized to select regions where gaps or overlaps should be generated [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Energy-Based Optimum Pattern Development for Garment Industry

Fang

Ding

2011

AMR

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Distortions are inevitable when flattening is applied to an irregular surface. This study presents a meshing energy model and evaluates the energy variation between the 3D designed surface and the 2D flattened pattern in order to minimize the energy that arises from the development process. Base on expert knowledge, constraint optimization methods are used to find the unique pattern in its minimum deformation. This method is applied via simulation to some garment examples. Taking design and manufacturing conditions into consideration, the designed garments are flattened into patterns which have the least energy and area variation from the 3D designs.

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Data-driven elastic models for cloth

2011

View full text Add to dashboard Cite

Cloth often has complicated nonlinear, anisotropic elastic behavior due to its woven pattern and fiber properties. However, most current cloth simulation techniques simply use linear and isotropic elastic models with manually selected stiffness parameters. Such simple simulations do not allow differentiating the behavior of distinct cloth materials such as silk or denim, and they cannot model most materials with fidelity to their real-world counterparts. In this paper, we present a data-driven technique to more realistically animate cloth. We propose a piecewise linear elastic model that is a good approximation to nonlinear, anisotropic stretching and bending behaviors of various materials. We develop new measurement techniques for studying the elastic deformations for both stretching and bending in real cloth samples. Our setup is easy and inexpensive to construct, and the parameters of our model can be fit to observed data with a well-posed optimization procedure. We have measured a database of ten different cloth materials, each of which exhibits distinctive elastic behaviors. These measurements can be used in most cloth simulation systems to create natural and realistic clothing wrinkles and shapes, for a range of different materials.

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Modelling of anisotropic performance fabrics

Cited by 3 publications

References 2 publications

Data-driven elastic models for cloth

Data-driven elastic models for cloth

Energy-Based Optimum Pattern Development for Garment Industry

Data-driven elastic models for cloth

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