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Yarn-Level Cloth Simulation with Sliding Persistent Contacts.

Gabriel Cirio, Jorge Lopez-Moreno, Miguel A Otaduy

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    This study introduces an efficient yarn-level cloth representation, simplifying complex yarn interactions for faster fabric mechanics simulation. The method accurately models woven and knitted fabrics, significantly improving computational efficiency.

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    Area of Science:

    • Materials Science
    • Computational Mechanics
    • Textile Engineering

    Background:

    • Macroscopic cloth behavior is governed by yarn-level contact interactions, posing computational challenges.
    • Simulating these interactions traditionally requires resolving numerous fine-scale contacts, leading to high costs.
    • Existing methods struggle with the complexity of yarn-yarn contact dynamics in fabric mechanics.

    Purpose of the Study:

    • To develop an efficient yarn-level representation for cloth mechanics simulation.
    • To reduce the computational cost associated with simulating fabric behavior.
    • To accurately model both woven and knitted fabrics at the yarn level.

    Main Methods:

    • Proposed an efficient representation of cloth at the yarn level, treating contacts as persistent with sliding.
    • Introduced a compact representation of yarn geometry and kinematics to capture deformation modes.
    • Designed force models based on this representation to reproduce macroscopic fabric behavior.

    Main Results:

    • Achieved significant computational efficiency, nearly one order of magnitude faster than previous techniques.
    • Successfully simulated millions of degrees of freedom, representing hundreds of thousands of yarn loops.
    • Demonstrated the method's capability to compare macroscopic behaviors of woven and knitted patterns.

    Conclusions:

    • The proposed efficient representation significantly accelerates cloth mechanics simulations at the yarn level.
    • The method accurately captures essential deformation modes and macroscopic fabric properties.
    • This approach offers a computationally feasible way to study complex yarn-based fabric behaviors.