Chaotic modelling and control of combustion instabilities due to vaporization

A PLIF and PIV study of liquid mixing enhanced by a lateral synthetic jet pair

“…Lateral synthetic jets with orifices oriented normally or at an angle to an incoming flow in a channel are capable of generating intensive local disturbances hence enhancing mixing (Lei and Turan, 2010;Liu and Zhang, 2009). In addition, the strength of synthetic jets can be varied independently from that of the main flow such that the mixing can be effective in low Reynolds number flows where turbulence is absent.…”

Chaotic Diagnostics in a Biodiesel Combustion System Using PLIF and Nonlinear Time Series Analysis▴

“…Through data analysis of combustion process information, the combustion state can be accurately identified and classified, thus providing useful judgment strategies and accurate prediction for industrial production [19]. For many years, researchers have characterized the properties of chaotic behaviors and distinguished between the different types of chaos by plenty of methods and criterias, including power spectrum [20,21], features of a trajectory in the phase space such as strange attractor [22], Lorenz map [23], Poincare map [24], Hurst index [25,26] and Lyapunov stability [27,28]. The identification of chaos by these methods is complicated and tedious.…”

Transient energy growth analysis of a thermoacoustic system with distributed mean heat input

“…It is characterized by largeamplitude pressure oscillations [5][6][7]. And these self-sustained oscillations occur in many combustion systems [8][9][10][11][12] or in thermoacoustic engines [13][14][15].…”