摘要
注射成型聚合物复合材料因其工艺诱导的各向异性非均质特征,已成为现代聚合物基复合材料工程领域的研究热点。为此,提出一种基于高斯积分点拓扑的跨尺度数据守恒映射方法,通过自适应径向基函数构建非线性插值算子,实现了关键场变量在异构单元间的无损传递。方法核心包括:重构高斯积分点空间拓扑建立精确映射关系;采用改进移动最小二乘法进行张量场超收敛映射,严格保证纤维取向张量的对称性;开发高效动态链接库接口,实现与主流CAE软件的无缝集成。验证结果表明,所提方法显著提升了数据传递精度,刚度张量主分量传递误差仅2.8%。工程应用显示,玻纤增强尼龙6相机盖的翘曲预测与AMI仿真结果相关系数达0.96,位移误差仅2.2%;长玻纤增强聚丙烯夹子组件熔接线区域模量衰减效应(42%)被准确捕捉,应力峰值预测误差控制在6.5%以内。该研究为注射成型-结构性能一体化分析提供了理论完备的数据传递框架,特别适用于纤维增强聚合物和半结晶性塑料等材料体系,为实现工艺-性能精确分析奠定了技术基础,显著提升了多尺度耦合仿真的可靠性与工程应用精度。
Injection-molded polymer composites have attracted significant attention in modern polymer composites engineering due to their process-induced anisotropic and heterogeneous characteristics.A cross-scale data conservation mapping method based on Gaussian integration point topology was proposed.By employing adaptive radial basis functions to construct a nonlinear interpolation operator,the lossless transfer of key field variables among heterogeneous units has been achieved.The core innovations include the following:reconstructing the spatial topology of Gaussian integration points to establish precise mapping relationships;The improved moving least square method is adopted for the super-convergent mapping of the tensor field to strictly ensure the symmetry of the fiber orientation tensor,and an efficient dynamic link library interface is developed to achieve seamless integration with mainstream CAE software.Validation results demonstrate that the method significantly enhances data transfer accuracy.And the transfer error of the principal components of the stiffness tensor is only 2.8%.In engineering applications,the correlation coefficient between the warpage prediction of the camera cover reinforced with glass fiber and nylon 6 and the AMI simulation results reached 0.96,and the displacement error was only 2.2%.For a long-glass-fiber reinforced polypropylene clip assembly,the tensile elastic modulus decreased by 42%in the weld line region was accurately captured,and the stress peak prediction error was controlled within 6.5%.This study provides a theoretically complete data transfer framework for integrated injection molding and structural performance analysis,is particularly suitable for fiber-reinforced polymers and semi-crystalline plastics,establishing a technical foundation for precise process-performance correlation analysis,significantly enhancing the reliability of multi-scale coupling simulations and their engineering application precision.
作者
李伟
王方方
张秀元
LI Wei;WANG Fangfang;ZHANG Xiuyuan(School of Intelligent Engineering,Henan Mechanical and Electrical Vocational College,Zhengzhou 451191,China;Henan Key Laboratory of Intelligent Manufacturing Equipment Integration for Superhard Materials,Zhengzhou 451191,China;Oeitix Information Technology(Shanghai)Co.,Ltd.,Shanghai 200000,China)
出处
《工程塑料应用》
北大核心
2025年第11期131-137,共7页
Engineering Plastics Application
基金
河南省科技攻关计划项目(222102220114,242102230055)
河南省高等学校重点科研项目(23A430045)。
关键词
高斯映射
多场耦合
数据无损传递
结构CAE
材料数据
Gaussian mapping
multi-field coupling
lossless data transfer
structural CAE
material data
