COMPOSITES SCIENCE AND ENGINEERING ›› 2023, Vol. 0 ›› Issue (11): 84-89.DOI: 10.19936/j.cnki.2096-8000.20231128.011

• APPLICATION RESEARCH • Previous Articles     Next Articles

Analysis and study on multiple factors affecting compaction of 3D four-directional C/C composite preform

REN Hongqing1,2 , DONG Jiuzhi1,2*, MEI Baolong 1,2, CHEN Yunjun3, JIANG Xiuming1,2   

  1. 1. School of Mechanical Engineering, Tiangong University, Tianjin 300387, China;
    2. Tianjin Key Laboratory of Advanced Mechatronics Equipment Technology, Tiangong University, Tianjin 300387, China;
    3. School of Electrical Engineering, Tiangong University, Tianjin 300387, China
  • Received:2022-09-20 Online:2023-11-28 Published:2023-12-14

Abstract: In order to improve the fiber volume fraction of the preform, based on the 3D four-direction C/C preform compaction process, the orthogonal experiment was designed to analyze the influence of the compaction times per cycle, pressure duration and content of additives on the fiber volume fraction. Results show that the content of additives has the greatest impact on the final fiber volume fraction, followed by the compaction times per cycle and the impact of pressure duration is the smallest. The fiber volume fraction first increases and then decreases with the increase of content of additives, with the increase of pressure duration and compaction times per cycle. The BBD response surface optimization experiment was designed to establish the corresponding fiber volume fraction mathematical model and verify the reliability of the model, and the process parameters were optimized and verified by experiments. The results show that each cycle is compacted three times, pressure duration is 7 s, two bundles of fibers with additives are the optimal parameters. The final fiber volume fraction of the preform woven under the optimal parameters is only 0.24% different from the predicted value, which is at least 4.54% higher than that of the original process parameters. Finally, it can be seen from the microscopic observation that the preform woven under the optimal parameters is more dense.

Key words: preform, fiber volume fraction, multivariate analysis, process optimization, composites

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