Beauty of computing
This image is from a direct numerical simulation (DNS) of a turbulent lifted autoignitive di-methyl ether jet flame showing the role of low-temperature heat release on stabilization of a lifted flame, qualitatively similar to processes in a diesel jet flame. The yellow colors denote the low-temperature heat release demarcated by the radical methoxymethylperoxy (CH3OCH2O2) and the blue colors denote the high temperature flame demarcated by hydroxyl radical, OH. Low temperature heat release occurs upstream of the high temperature ignition that defines the lift-off length and alters the fuel composition and reactivity, affecting high temperature ignition and flame propagation characteristics. DNS is a high-fidelity simulation approach that allows scientists to gain insight into detailed aspects of combustion and to validate models of combustion processes. This work ultimately will be used to develop predictive models used to design more efficient and cleaner engines. This image was produced by Combustion Research Facility scientist Jacqueline Chen, who is a leading researcher in the development of massively parallel petascale direct numerical simulations of turbulent combustion. More information on her work can be found here. Chen and postdoc Yuki Minamoto performed the DNS used to generate the image, which was produced by Hongfeng Yu of the University of Nebraska.
Beauty of computing
This image is from a direct numerical simulation (DNS) of a turbulent lifted autoignitive di-methyl ether jet flame showing the role of low-temperature heat release on stabilization of a lifted flame, qualitatively similar to processes in a diesel jet flame. The yellow colors denote the low-temperature heat release demarcated by the radical methoxymethylperoxy (CH3OCH2O2) and the blue colors denote the high temperature flame demarcated by hydroxyl radical, OH. Low temperature heat release occurs upstream of the high temperature ignition that defines the lift-off length and alters the fuel composition and reactivity, affecting high temperature ignition and flame propagation characteristics. DNS is a high-fidelity simulation approach that allows scientists to gain insight into detailed aspects of combustion and to validate models of combustion processes. This work ultimately will be used to develop predictive models used to design more efficient and cleaner engines. This image was produced by Combustion Research Facility scientist Jacqueline Chen, who is a leading researcher in the development of massively parallel petascale direct numerical simulations of turbulent combustion. More information on her work can be found here. Chen and postdoc Yuki Minamoto performed the DNS used to generate the image, which was produced by Hongfeng Yu of the University of Nebraska.