Numerical Methods of Glass Fiber Reinforced PMH Structure Based on Parameter Mapping

doi:10.3901/JME.2019.06.129

Abstract

Abstract: A new numerical simulation method based on material parameter mapping is proposed for the defect of traditional numerical analysis of long fiber reinforced plastic metal hybrid(PMH) structures for injection molding. Based on the multiple continuum theory (MTC), the compound mean parameters in the microscopic representative volume element(RVE) is transformed into its internal components (fibers and matrix), through the relationship change between the mean parameters of components to predict the damage evolution and failure of the composite, to avoid the establishment of the complex actual micro-mechanical stress model. Based on the mentioned above model, the fiber orientation and residual stress information obtained by the flow analysis were fitted with the tensile experimental data of the material to obtain the elastic and plastic parameters of the fiber and matrix needed for the structural analysis model. Finally, the above information were mapped to the structural analysis model. This method can map a large number of analytical data from the flow analysis model to the structural analysis model, so as to realize more accurate and efficient structural numerical analysis. Based on this method, the effect of the bonding strength of metal-plastic interface adhesive layer on the residual stress, the warpage and contraction deformation and the mechanical properties under the typical working condition of the vehicle is studied. The results show that the warpage and contraction deformation of the plastic parts is negligible when the bonding strength of the interface is greater than 20 MPa, the mechanical properties of the PMH structure are not be damaged under typical operating conditions.

Key words: injection molding, MTC theory, parameter mapping, PMH structure

CLC Number:

TB333

NIE Xin, LEI Fagui, ZHU Guohua, WANG Dongdong, XIONG Dongjian. Numerical Methods of Glass Fiber Reinforced PMH Structure Based on Parameter Mapping[J]. Journal of Mechanical Engineering, 2019, 55(6): 129-137.

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