The computational singular perturbation (CSP) technique is applied as an automated diagnostic tool to identify important physical and chemical processes encountered in auto-ignition processes. Various model problems representing auto-ignition events are simulated using high-fidelity computation with detailed chemistry for hydrogen-air system, and the simulation data were analyzed by CSP. For a given user-specified tolerance, the CSP analysis provides an identification of frozen, dormant, active and exhausted time scales related to individual chemical reactions and transport processes, thus providing fundamental insights into the dominant physical and chemical processes at various stages during auto-ignition. In particular, the CSP analysis of 1D laminar and 2D turbulent ignition problems allow the automated detection of different ignition regimes at different time and location during the ignition events. The implication of the results in the context of modeling auto-ignition of nearly homogeneous turbulent mixtures is discussed.
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