Search Results

The modeling of plastic fuel tank systems for crash safety applications has been very challenging. The major challenges include the prediction of fuel sloshing in high speed impact conditions, the modeling of multilayer thermoplastic fuel tanks with post-forming (non-uniform) material properties, and the modeling of tank straps with pre-tensions. Extensive studies can be found in the literature to improve the prediction of fuel sloshing. However, little research had been conducted to model the post-forming fuel tank and to address the tension between the fuel tank and the tank straps for crash safety simulations. Hoping to help improve the modeling of fuel systems, the authors made the first attempt to tackle these major challenges all at once in this study by dividing the modeling of the fuel tank into eight stages. An ALE (Arbitrary Lagrangian-Eulerian) method was adopted to simulate the interaction between the fuel and the tank.

With years of experience in applying CAE (Computer-Aided Engineering) tools in different automotive plastics component design analyses, authors try to define the accuracy of CAE simulations through three carefully selected case studies: natural frequency prediction, vibration stress calculation, and fatigue analysis. The first case study demonstrates that CAE is able to achieve great accuracy in predicting structural global properties such as natural frequency. The second case shows that CAE results do not correlate so well for the predictions of local properties such as vibration induced stress or strain response, while the third one indicates that CAE predictions on A to B comparison is always accurate even in the case of fatigue life prediction, that is known as a difficult task. Therefore, the CAE global property predictions should weigh heavier in plastic component design evaluation than on the local ones.

Hood opening/closing is a necessary function in a vehicle, but the closing often results in an impact known as hood slam. The damage to the components of the FEM (Front End Module), induced by the hood slam, accumulates over the vehicle lifetime and may lead to failure. In a traditional design process, an impact test is conducted on prototype FEM to evaluate its integrity. It is, however, very costly and time-consuming to achieve a statistical based confidence. Presented in this paper is a methodology of CAE hood-slam simulation that intends to replace the test and drive FEM design. This CAE method includes two aspects: impact simulation and fatigue life evaluation. An impact loading is applied by converting potential energy to kinetic energy, mimicking the hood dropping from a specified height on the hood latch. The impact loading causes the local deformation and stress concentration, which may become potential failure spots.

Plastics injection molds are typically subjected to a combination of loadings such as injection pressure, temperature changes, clamping force, and potential interference at seal-off surfaces during manufacturing process. The loadings on the molds are as cyclic as the injection molding cycles. As a result, the molds could fail either in material overstraining or fatigue. In this paper, several failure cases will be presented, along with the FEA stress and fatigue analysis results, to demonstrate the effect of the above mentioned loadings on the mold structural integrity. This paper will also show how the FEA stress and fatigue analyses were effectively employed to determine the mold failure root cause and assist the design modification in a usually constrained time frame.

In this paper, a CAE (Computer-Aided Engineering) methodology to simulate the vibration test and predict fatigue life of head lamp bulb shield is presented. A modal analysis is performed first to determine the critical elements from the strain energy density distribution patterns. A random vibration frequency response analysis is then performed to monitor the stress response power spectral densities (PSDs) for critical elements due to the g-load input PSDs, measured at the mounting point in all three directions. Fatigue life can be estimated based on the stress response PSDs and material S-N curve by using Dirlik's method. The fundamentals for frequency domain fatigue analysis are reviewed and a case study with test correlation is then presented.