Development of Experimental, Analytical, and Numerical Approximations Appropriate for Nonlinear Damping Coatings
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Hard coatings, such as magnesium aluminate spinel, offer the potential to satisfy the damping requirements of turbine engine components. Unfortunately, the characterization of these materials is complicated by several nonlinearities thus making it difficult to qualify the materials for use in an engine. An experimental and computational research program was initiated with the hope answering some of the questions surrounding these materials. The major contributions of this research program are a new experimental apparatus and method that is able to more accurately determine the nonlinear materi...
Hard coatings, such as magnesium aluminate spinel, offer the potential to satisfy the damping requirements of turbine engine components. Unfortunately, the characterization of these materials is complicated by several nonlinearities thus making it difficult to qualify the materials for use in an engine. An experimental and computational research program was initiated with the hope answering some of the questions surrounding these materials. The major contributions of this research program are a new experimental apparatus and method that is able to more accurately determine the nonlinear material properties of these materials, an exhaustive set of material properties data at higher strain levels than previously tested, and, for the first time, a quantification of the effect of strain history on material properties. The use of a reduced order computational model provided several important and unique insights. Specifically, this portion of the research proved that the log decrement method is able to more accurately predict the damping of a nonlinear reduced order frictional model.
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