journal article·2026-05-20Open access

Modeling of Automated Fiber Placement Process and Defects Based on Mass‐Spring‐Dashpot System

Yan Li, Yuxiao He, Rong Yuan, Jianhong Liang

Polymer Composites· Volume 47· Issue 10

Abstract

ABSTRACT Layup defects in automated fiber placement weaken laminate mechanical properties, making their prediction and avoidance crucial but underexplored. This study develops a mass‐spring‐dashpot system considering tow orthotropic anisotropy and viscoelasticity. Additionally, a numerical algorithm is proposed to simulate the layup process and defects, validated through experiments. The proposed system and algorithm incorporate mold surface, layup path, layup process parameters, and tow mechanics, enabling accurate simulation of defect generation during the layup process. In Case 1, the 2nd and 3rd tows exhibit maximum bridging heights of ≈12 mm with bridging lengths of ≈100 mm, while the 4th tow shows a maximum bridging height of ≈23 mm with a bridging length of ≈150 mm. In Case 2, folds of ≈1.6 mm and wrinkles of ≈1.3 mm are observed. The corresponding experimental measurements are 11.5/105/20/154.2 mm for Case 1 (heights/lengths for the 2nd–3rd and 4th tows) and 1.52/1.45 mm for Case 2 (folds/wrinkles), showing good agreement with the simulations. Furthermore, simulating a single tow requires ≈50 s per 10 mm of roller advance, consuming a relatively small amount of computing time. This system and algorithm allow rapid parameter adjustments, reducing defects and improving layup quality.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Epoxy Resin Curing Processes · Fiber-reinforced polymer composites · Textile materials and evaluations

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering Chengdu University Chengdu China

Aerospace System Engineering Shanghai Shanghai China

School of Electronic Information and Electrical Engineering Chengdu University Chengdu China

Funding

National Natural Science Foundation of China · Sichuan Province Science and Technology Support Program

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