基于位置动力学的经编贾卡织物形变仿真OA

Warp-knitted jacquard fabrics are widely used in apparel,home textiles,and industrial applications due to their complex and diverse structures,but accurately predicting their deformation behavior remains a major challenge in textile engineering and computer graphics.Traditional simulation methods,such as mass-spring models,though widely adopted,may suffer from compromised computational efficiency and result stability when simulating special structures like warp-knitted jacquard fabrics with intricate local constraints,thereby affecting the realism of the simulation.To address this issue,this study aims to propose and validate a new deformation simulation method for warp-knitted jacquard fabrics based on Position-Based Dynamics(PBD).The core advantage of this method lies in its direct manipulation of particle positions,fundamentally avoiding the complexity and instability of traditional mechanical integration,and providing an efficient,stable,and physically realistic simulation solution for complex fabric structures. This study firstly conducted a topological analysis of the microscopic loop structure of warp-knitted jacquard fabrics,abstracting the interlocking connection points into a series of discrete particles.Based on the PBD framework,a particle system containing three core physical constraints was constructed to accurately describe the mechanical behavior of the fabric.First,the distance constraint was used to simulate the tensile characteristics of yarn connections.By introducing a shrinkage coefficient related to the jacquard lapping path,this constraint dynamically adjusted the rest distance between particles,realistically reflecting the mesh shrinkage effect in jacquard warp-knitted fabrics.Second,the bending constraint simulated the fabric's bending stiffness by restricting the relative positions of three consecutive particles within the same wale,ensuring the morphological stability of the loop columns.Third,the collision constraint effectively prevented physically unrealistic self-penetration during deformation by setting a minimum safe distance between particles.In the solving phase,an adaptive iteration strategy was adopted.This strategy dynamically determines whether the system has reached equilibrium by monitoring the maximum particle displacement in each iteration.When the displacement falls below a preset threshold,the iteration automatically terminates,significantly improving computational efficiency while ensuring simulation accuracy and avoiding unnecessary computational overhead. To validate the effectiveness of the model,this study conducted simulations based on the process parameters of a jacquard fabric sample and performed quantitative comparisons with the physical fabric.Using computer morphological methods,the mesh contours from both the simulated and physical sample images were extracted,and their geometric similarity was calculated using Hausdorff distance.The experimental results demonstrated that the similarity between most simulated mesh contours and the physical samples exceeded 90％,confirming the model's ability to highly realistically reproduce the complex mesh deformation characteristics of jacquard fabrics.The study concludes that the position-based dynamics simulation model developed in this paper,with its excellent stability computational efficiency,and physically consistent simulation results,successfully provides a reliable and intuitive technical approach for performance prediction and virtual design of complex structured textiles like warp-knitted jacquard fabrics,demonstrating both theoretical value and application potential.