热塑性FRP自动铺放成型缺陷的多尺度研究进展

发布时间：2018-03-01 03:23

本文关键词： 热塑性纤维增强型复合材料自动铺放缺陷多尺度分析工艺设计　出处：《材料工程》2017年07期 　论文类型：期刊论文

【摘要】：纤维增强型复合材料(FRP)自动铺放成型缺陷形成过程涉及多个时空尺度,仅依靠宏观失效理论及实验分析等方法无法实现对FRP铺放成型缺陷机理的研究。为了解决以上问题,本文针对热塑性FRP,分析了其铺放制造过程中常见的缺陷类型及其形成的基本原因,并结合气泡成核、热力耦合、界面增强理论及原位固结技术的国内外研究成果,指出现阶段FRP铺放缺陷机理研究方法的不足,根据现有的多尺度分析法及材料设计的嵌套式关系,提出反串行嵌套式多尺度分析方法,并讨论了基体的流动性、结晶度、黏弹性及吸湿性等微观力学参数的分析和计算方法。最后,采用灰色关联及多目标优化法,提出FRP铺放成型工艺的多尺度协同设计方法。未来研究重点是在铺放样机应用化的基础上,分析工艺参数、成型缺陷与力学性能的关联特性,揭示缺陷形成机理并优化工艺参数。
[Abstract]:The forming process of automatic placement forming defects of fiber reinforced composites (FRP) involves many space-time scales. It is impossible to study the defect mechanism of FRP placement molding only by means of macroscopic failure theory and experimental analysis, in order to solve the above problems. Aiming at thermoplastic FRPs, this paper analyzes the common types of defects and the basic causes of their formation in the process of laying and manufacturing, and combines the research results of bubble nucleation, thermal coupling, interface enhancement theory and in situ consolidation technology at home and abroad. This paper points out the deficiency of the research method of FRP placement defect mechanism at present. According to the existing multi-scale analysis method and the nesting relation of material design, the multi-scale analysis method of row nesting is put forward, and the fluidity and crystallinity of matrix are discussed. The analysis and calculation method of micromechanical parameters such as viscoelasticity and hygroscopicity. Finally, grey correlation and multi-objective optimization method are used. This paper presents a multi-scale collaborative design method for FRP placement molding process. The emphasis of future research is to analyze the process parameters, the correlation characteristics of forming defects and mechanical properties on the basis of the application of laying prototyping. The mechanism of defect formation was revealed and the process parameters were optimized.
【作者单位】：哈尔滨工业大学机电工程学院;
【基金】：国家自然科学基金项目(51005060) 国家数控专项课题(2014ZX04001091)
【分类号】：TB332

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