Fan Limei, Dong Fangxu, Duan Jian, Sun Yan, Wang Fei, Liu Junyan, Tang Zhenhe, Sun Liangwen
Shandong Nonmetallic Materials Institute, Jinan 250031, China.
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Materials (Basel). 2024 Jul 18;17(14):3569. doi: 10.3390/ma17143569.
Detecting temperature and concentration fields within engine combustors holds paramount significance in enhancing combustion efficiency and ensuring operational safety. Within the realm of engine combustors, the laminar absorption spectroscopy technique has garnered considerable attention. Particularly crucial is the optimization of the optical path configuration to enhance the efficacy of reconstruction. This study presents a flame parameter field reconstruction model founded on laminar absorption spectroscopy. Furthermore, an optimization approach for refining the optical path configuration is delineated. In addressing non-axisymmetric flames, the simulated annealing algorithm (SA) and Harris's Hawk algorithm (HHO) are employed to optimize the optical path layout across varying beam quantities. The findings underscore a marked reduction in imaging errors with the optimized optical path configuration compared to conventional setups, thereby elevating detection precision. Notably, the HHO algorithm demonstrates superior performance over the SA algorithm in terms of optimization outcomes and computational efficiency. Compared with the parallel optical path, the optimized optical path of the HHO algorithm reduces the temperature field error by 25.5% and the concentration field error by 26.5%.
检测发动机燃烧室内的温度和浓度场对于提高燃烧效率和确保运行安全至关重要。在发动机燃烧室领域，层流吸收光谱技术备受关注。特别关键的是优化光路配置以提高重建效果。本研究提出了一种基于层流吸收光谱的火焰参数场重建模型。此外，还阐述了一种优化光路配置的方法。在处理非轴对称火焰时，采用模拟退火算法（SA）和哈里斯鹰算法（HHO）来优化不同光束数量下的光路布局。研究结果表明，与传统设置相比，优化后的光路配置显著降低了成像误差，从而提高了检测精度。值得注意的是，在优化结果和计算效率方面，HHO算法表现优于SA算法。与平行光路相比，HHO算法的优化光路使温度场误差降低了25.5%，浓度场误差降低了26.5%。
