利用相互作用粒子预测织物的悬垂度

D. Breen, D. House, M. Wozny
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引用次数: 480

摘要

我们展示了一种基于物理的技术来预测各种机织织物的悬垂性。该方法利用了一个理论模型,该模型明确地表示了具有相互作用粒子的编织布的微观结构,而不是利用连续体近似。通过在川端机织物测试装置中测试布料样品,我们获得用于调整模型能量函数的数据,使其再现原始材料的悬垂行为。将实际织物的悬垂效果与仿真结果的可视化效果进行对比,结果表明,我们能够可靠地模拟出明显不同织物类型的独特的大尺度悬垂特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the drape of woven cloth using interacting particles
We demonstrate a physically-based technique for predicting the drape of a wide variety of woven fabrics. The approach exploits a theoretical model that explicitly represents the microstructure of woven cloth with interacting particles, rather than utilizing a continuum approximation. By testing a cloth sample in a Kawabata fabric testing device, we obtain data that is used to tune the model's energy functions, so that it reproduces the draping behavior of the original material. Photographs, comparing the drape of actual cloth with visualizations of simulation results, show that we are able to reliably model the unique large-scale draping characteristics of distinctly different fabric types.
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