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Detection of Thermoacoustic Instabilities Via Nonparametric Bayesian Markov Modeling of Time-Series Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Real-time detection and decision and control of thermoacoustic instabilities in confined combustors are challenging tasks due to the fast dynamics of the underlying physical process. The objective here is to develop a ...
Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A critical issue in design and operation of combustors in gas turbine engines is mitigation of thermoacoustic instabilities, because such instabilities may cause severe damage to the mechanical structure of the combustor. ...
Hidden Markov Modeling-Based Decision-Making Using Short-Length Sensor Time Series
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Real-time decision-making (e.g., monitoring and active control of dynamical systems) often requires feature extraction and pattern classification from short-length time series of sensor data. An example is thermoacoustic ...
Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurate prediction of injection profiles is a critical aspect of linking injector operation with engine performance and emissions. However, highly resolved injector simulations can take one to two weeks of wall-clock time, ...
Topology Optimization and Experimental Validation of an Additively Manufactured U-Bend Channel
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Serpentine channels are a common feature seen in heat ex-changer geometries. For example, they are present in midchord regions of gas turbine blades to prevent material failure at high turbine inlet temperatures. Due to ...