TopoKnit: A Process-Oriented Representation for Modeling the Topology of Yarns in Weft-Knitted Textiles

IF 2.5 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Graphical Models Pub Date : 2021-11-01 DOI:10.1016/j.gmod.2021.101114

Levi Kapllani , Chelsea Amanatides , Genevieve Dion , Vadim Shapiro , David E. Breen

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引用次数: 9

Abstract

Machine knitted textiles are complex multi-scale material structures increasingly important in many industries, including consumer products, architecture, composites, medical, and military. Computational modeling, simulation, and design of industrial fabrics require efficient representations of the spatial, material, and physical properties of such structures. We propose a process-oriented representation, TopoKnit, that defines a foundational data structure for representing the topology of weft-knitted textiles at the yarn scale. Process space serves as an intermediary between the machine and fabric spaces, and supports a concise, computationally efficient evaluation approach based on on-demand, near constant-time queries. In this paper, we define the properties of the process space, and design a data structure to represent it and algorithms to evaluate it. We demonstrate the effectiveness of the representation scheme by providing results of evaluations of the data structure in support of common topological operations in the fabric space.

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拓扑单元:一种面向过程的纬编织物纱线拓扑建模方法

机编纺织品是复杂的多尺度材料结构，在消费品、建筑、复合材料、医疗和军事等许多行业中越来越重要。工业织物的计算建模、仿真和设计需要对这种结构的空间、材料和物理特性进行有效的表示。我们提出了一个面向过程的表示，TopoKnit，它定义了一个基本的数据结构，用于在纱线尺度上表示纬编纺织品的拓扑结构。过程空间充当机器和结构空间之间的中介，并支持基于按需、近恒定时间查询的简洁、计算效率高的评估方法。在本文中，我们定义了进程空间的属性，设计了一个数据结构来表示它，并设计了一种算法来评估它。我们通过提供数据结构的评估结果来证明该表示方案的有效性，以支持fabric空间中的公共拓扑操作。

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来源期刊

Graphical Models 工程技术-计算机：软件工程

CiteScore

3.60

自引率

5.90%

发文量

审稿时长

47 days

期刊介绍： Graphical Models is recognized internationally as a highly rated, top tier journal and is focused on the creation, geometric processing, animation, and visualization of graphical models and on their applications in engineering, science, culture, and entertainment. GMOD provides its readers with thoroughly reviewed and carefully selected papers that disseminate exciting innovations, that teach rigorous theoretical foundations, that propose robust and efficient solutions, or that describe ambitious systems or applications in a variety of topics. We invite papers in five categories: research (contributions of novel theoretical or practical approaches or solutions), survey (opinionated views of the state-of-the-art and challenges in a specific topic), system (the architecture and implementation details of an innovative architecture for a complete system that supports model/animation design, acquisition, analysis, visualization?), application (description of a novel application of know techniques and evaluation of its impact), or lecture (an elegant and inspiring perspective on previously published results that clarifies them and teaches them in a new way). GMOD offers its authors an accelerated review, feedback from experts in the field, immediate online publication of accepted papers, no restriction on color and length (when justified by the content) in the online version, and a broad promotion of published papers. A prestigious group of editors selected from among the premier international researchers in their fields oversees the review process.