| 基于多场耦合方法的厚截面复合材料固化过程的多目标优化 |
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| 引用本文： | 元振毅,许英杰,杨癸庚,冯雨,杨振朝,同新星,宋丹龙,高达敬,李言. 基于多场耦合方法的厚截面复合材料固化过程的多目标优化[J]. 复合材料学报, 2021, 38(2): 526-535. DOI: 10.13801/j.cnki.fhclxb.20200603.004 |
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| 作者姓名： | 元振毅 许英杰 杨癸庚 冯雨 杨振朝 同新星 宋丹龙 高达敬 李言 |
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| 作者单位： | 西安理工大学机械与精密仪器工程学院,西安710072;西北工业大学机电学院,西安710072 |
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| 基金项目： | 国家自然科学基金(51805429);陕西省自然科学基础研究计划(2019JQ-183;2019JQ-728)。 |
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| 摘 要： | 针对厚截面复合材料固化过程温度峰值过大所引起的材料力学性能降低及残余应力过大等问题,建立了基于多场耦合方法的复合材料固化过程多目标优化模型,用以降低固化温度峰值和缩短固化时间.首先建立包含热化学子模型、树脂黏度子模型和流动压实子模型的固化温度多场耦合模型,用以准确描述固化过程复合材料内部温度及构件厚度的演化规律.通过与...
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| 关 键 词： | 复合材料 固化过程 代理模型 优化 多场耦合 |
| 收稿时间： | 2020-04-07 |
Multi-objective optimization for curing process of thick composite based on multi-physics coupling method |
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| YUAN Zhenyi,XU Yingjie,YANG Guigeng,FENG Yu,YANG Zhenchao,TONG Xinxing,SONG Danlong,GAO Dajing,LI Yan. Multi-objective optimization for curing process of thick composite based on multi-physics coupling method[J]. Acta Materiae Compositae Sinica, 2021, 38(2): 526-535. DOI: 10.13801/j.cnki.fhclxb.20200603.004 |
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| Authors: | YUAN Zhenyi XU Yingjie YANG Guigeng FENG Yu YANG Zhenchao TONG Xinxing SONG Danlong GAO Dajing LI Yan |
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| Affiliation: | 1.School of Mechanical and Instrument Engineering, Xi’an University of Technology, Xi′an 710072, China2.School of Mechanical Engineering, Northwestern Polytechnical University, Xi′an 710072, China |
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| Abstract: | In order to reduce the mechanical properties and the curing residual stress of the thick composite caused by the excessive temperature peak during the curing process, a multi-objective optimization model based on the multi-physics coupling characteristics was developed to reduce the maximum curing temperature peak and the curing time. Firstly, a three-dimensional model which incorporated three typical sub-models including thermo-chemical model, resin viscosity model and resin flow model was established to investigate the development of temperature and thickness of laminate during curing process. The results of numerical model were compared with experiment data in reference and good accordance was obtained. Then, a multi-objective optimization method was applied to optimize curing process parameters by using a radial basis function neural network model(RBF) as the surrogate model. It is shown that the curing temperature peak has a nonlinear relationship with the first and second dwell temperature, which is related to the nonlinear characteristics of the curing process. In order to reduce the temperature peak, it is necessary to increase the first dwell temperature and reduce the second dwell temperature.Meanwhile, the dwell time should also be adjusted to shorten the total curing time. Compared to standard cure profiles, the proposed optimization method can significantly reduce the curing time and temperature peak for thick composite laminates. |
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| Keywords: | composite curing process surrogate model optimization multi-physics coupling |
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