Compaction behavior of 3D woven preforms with hybrid fibers and under different process parameters
Source abstract
Abstract
Abstract The reinforced fibers of three‐dimensional (3D) composites are interwoven in space and have better inter‐laminar properties than two‐dimensional (2D) laminates, and have great application prospects in high‐tech fields. Flexible‐oriented 3D woven technology is an emerging technology for weaving 3D composite preforms, especially suitable for manufacturing large‐thickness and complex preform architectures, and the compaction behavior of preforms has an important influence on its performance. In this paper, using this technology, different types of 3D preforms were woven and subjected to systematic compaction experiments, to explore the effects of different fiber hybrid modes and process parameters on the compaction behavior. It is found that, increasing the number of cycles, wetting and sizing the fibers are all beneficial to improve the compaction ability, but reduce the stress relaxation and recovery ratios. The stress relaxation of the hybrid fiber preform is mainly affected by the carbon fiber. Reducing the dispersion of different fiber bundles is beneficial to decrease the recovery ratio. The research results provide experimental and theoretical reference for the rapid and efficient weaving of hybrid fiber composite preforms in the future.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Mechanical Behavior of Composites · Natural Fiber Reinforced Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering University of Science and Technology Beijing Beijing China
State Key Laboratory of Advanced Forming Technology and Equipment China Academy of Machinery Science and Technology Beijing China
College of Mechanical & Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing China
School of Mechanical Engineering Beijing Institute of Technology Beijing China
Funding
National Natural Science Foundation of China
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