KNITIT: a computational tool for design, simulation, and fabrication of multiple structured knits

KNITIT: a computational tool for design, simulation, and fabrication of multiple structured knits
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KNITIT:一种用于设计、模拟和制造多种结构针织物的计算工具

DOI:
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发表时间:
2018
期刊:
Symposium on Computational Fabrication
影响因子:
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通讯作者:
Shoval Nir
Shoval Nir
中科院分区:
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文献类型:
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作者:
A. Karmon;Yoav Sterman;T. Shaked;Eyal Sheffer;Shoval Nir

文献摘要

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用于定制针织面料的高度特定的数字控制工具是一项现有技术,由训练有素的针织工人在工业上广泛使用。一些制造挑战抑制了大规模使用针织产品的数字定制的程度,特别是当涉及复杂的多结构针织物时。这部分是由于当具有不同物理属性的针脚组合在同一织物内组合时,在整个织物尺寸中发生的物理变化。现有的计算工具无法帮助模拟和预测这些整体变形,整个行业依赖于训练有素的个人的专业知识。织物的轮廓形状是特别重要的,因为它通常被预先配置为必须可再现的特定形状和尺寸。在这项工作中,我们提出了一个计算参数化工具,用于数字化设计和工业生产针织面料,在设计和可制造性之间建立直接联系。该工具包括一个集成的物理模拟组件,用于估计织物变形。它允许用户可视化和控制织物结构中的补偿,以更好地匹配设计的初始图形意图和实际物理针织织物结果。我们的方法旨在减少针织材料样本的迭代周期数,特别是在针织高度变化的设计时。
Highly specified digital control tools for the customization of knitted fabrics is an existing technology, widely used industrially by trained knitters. Some fabrication challenges inhibit the extent of use of digital customization for knitted products on a mass scale, specifically when complex multiple structured knits are involved. This is due, in part, to physical changes that occur in the overall fabric dimensions, when stitch combinations with different physical attributes are combined within the same fabric. Existing computational tools fail to assist in the simulation and prediction of these overall deformations and the industry as a whole relies on the expertise of highly trained individuals. The outline shape of the fabric is of specific importance as it is commonly preconfigured to a specific shape and dimension that must be reproducible. In this work, we propose a computational parametric tool for digitally designing and industrially producing knitted fabrics, creating a direct link between design and manufacturability. The tool includes an integrated physical simulation component for estimating the fabric deformation. It allows users to visualize and control compensations in the fabric structure, to better match between the initial graphic intent of the design and the actual physical knitted fabric outcome. Our approach aims to reduce the number of iteration cycles for knitting material samples, especially when knitting highly varied designs.