Date of Award
Master of Science in Engineering
Mechanical and Aerospace Engineering
Masters Thesis-Campus Only
In this study, the proper orthogonal decomposition (POD) is used to analyze turbulent velocity fields in a motored internal combustion engine. The relationship between POD modes, mean and turbulence velocity is explored. A particle image velocity (PIV) experimental procedure capable of yielding velocity field data for the application of the POD is outlined. The PIV setup records time-resolved velocity field data during the compression stroke over multiple engine cycles. The results of the POD were compared to alternative, traditional turbulence analysis techniques including RANS decomposition and cycle mean analysis to validate the utility of the POD as a turbulence analysis technique in internal combustion engines. The POD proved successful at identifying large-scale structures present in the flow and was capable of cyclic variability analysis.
Krallman, "A Mathematical Algorithm to Isolate Cyclic Variability in Internal Combustion Engines" (2010). Master's Theses. 373.