Elucidation of deterministic nature in combustion instability from a viewpoint of nonlinear chaos dynamics

从非线性动力学和复杂网络理论的角度，实验研究了重力取向变化引起的稀薄旋流预混火焰动力学行为的确定性。利用平移误差和径向基函数神经网络对火焰锋面波动的确定性进行量化。这项工作的结果清楚地表明，火焰前锋波动的动力学行为代表了低维确定性混沌。

We experimentally investigated the deterministic nature in the dynamic behavior of a lean swirling premixed flame generated by a change in gravitational orientation from the viewpoint of nonlinear dynamics and complex network theory. The translation error and radial basis function network are applied to quantify the deterministic nature in flame front fluctuations. The results obtained in this work clearly demonstrate that the dynamic behavior of flame front fluctuations represents low-dimensional deterministic chaos.