|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Computational Methods and Experimental Approaches for Uncertainty Quantification and Propagation, Model Validation, and Stochastic Predictions
||A Statistical FEA Method for Predicting Glass Fracture in Consumer Electronic Products
||Marc A. Zampino, Shankar Ganapathysubramanian, Ben Tan, Guru Ramanathan
|On-Site Speaker (Planned)
||Marc A. Zampino
A critical risk assessment for handheld consumer electronic products is the probability of fracture for glass components, namely the display, during drop impact. Glass strength can be determined through four point bend testing and combined with product level simulations for multiple drop orientations, producing a temporal and spatially varying stress state on the glass. The simplified technique of using only peak values in the worst orientations is generally over-conservative and not effective for competitive design where reliability must compromise with cost, weight and industrial design requirements. An effective risk assessment method is discussed which uses the FEA results directly and addresses the size and rate effects on glass strength, as well as the temporal and spatial nature of the stress results to produce a probability of failure. The method is shown to have excellent correlation with multiple product test cases using both EPD and LCD systems.