Abstract

<div class="section abstract"><div class="htmlview paragraph">Aluminum alloy wheels are being widely used in the automotive industry since the last decade due to its superior styling and performance. Alloy wheel rim is one of the critical components and plays an important role in a frontal crash scenario. The wheel rim failure prediction in safety simulation is essential to ensure robust safety performance. Determining failure characteristics of an alloy wheel poses many difficulties considering its brittle nature, porosity and inhomogeneity in material properties across different regions of wheel rim due to mold design, cooling rate and other process parameters of the low-pressure die casting process.</div><div class="htmlview paragraph">This paper describes the modelling and simulation methodology developed to predict accurate wheel behavior. The methodology addresses two distinct areas of challenges such as alloy wheel rim failure prediction and associated tire blow out.</div><div class="htmlview paragraph">Alloy wheel rim material is characterized considering the inhomogeneity of material properties at different regions such as the rim, spokes and hub. The material model is developed, considering strain rate sensitivity, anisotropy due to the state of loading, ductile normal and shear fracture aspects. Scatter function is developed to simulate material property variations.</div><div class="htmlview paragraph">Radial tire characterization is carried out with detailed modelling of constituents such as rubber, steel beads, body plies and steel belts. Various physical tests and digital correlation studies are carried out at coupon and tire assembly level to represent the stiffness and deformation of the tire accurately. A novel approach was developed using sensors in digital models to detect the alloy wheel rim failure in real-time. This triggers rapid air leakage in the tire to simulate the blowout scenario during the crash event. The methodology has been validated at the subsystem and full vehicle level by carrying out multiple physical tests. This approach can be used for digital development and validation of alloy wheel rim design to ensure robust crash safety performance.</div></div>

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