为了优选吹扫式仿生嗅觉检测腔流场结构,提高腔内流体速度分布均匀稳定性,以气体运动微分方程为基础,利用计算流体力学软件Fluent对检测腔内部流场进行了三维数值模拟,得到了设计工况条件下的气体流动特性,提出并分析比较了3种检测腔模型,同时将最优模型的模拟值与试验数据进行了对比分析.计算结果表明,检测腔结构影响腔内气体流速分布,多管道式检测腔在沿管道轴向0.035~0.049 m,气流速度变化存在平滑区,且稳定在0.018~0.268 m/s,能够满足检测工作条件,而线性排列式不存在平滑区,平行排列式平滑区速度范围仅为0.001~0.018 m/s;多管道式检测腔在流速均匀稳定性方面存在优势,气流速度最大偏差比和不均匀系数分别为0.8306和0.2920;同时,在数值模拟腔内气体置换时间中,3种检测腔经历时间分别为223.4、302.0和213.8 s,多管道式结构的时间数值最小说明气流响应快,工作效率高.多管道式结构模型能有效改善传感器数值检测的一致性,模型试验中传感器灵敏度检测数值标准差范围为0.1535~0.4283,变异系数分布在0.0305~0.0827.该研究可为仿生嗅觉检测腔结构的流场均匀性设计提供参考.%The detection chamber is an important part of the bionic olfactory detection analysis instrument. Unreasonable structure design of detection chamber can cause gas vortex and prolong the sensors' response and recovery time. Non-uniform distribution of airflow field can cause inconsistence of the sensor array in numerical induction. Therefore, it is significant to explore the characteristics of gas flow and distribution, optimize the flow field structure, improve the uniformity and stability of the flow rate and advance the accuracy and repeatability of olfactory detection chamber. However, the traditional method of further manufacture design improvements requires long transformation time, and high costs, and the measurement range is usually disappointing. Computational Fluid Dynamics (CFD) can provide detailed information on airflow simulation and ensure convenient design of agricultural equipments. In order to optimize the structure of bionic olfactory detection chamber of sweeping type, and improve the uniformity and stability of fluid velocity distribution, based on the differential equations of fluid motion, the internal flow field of olfactory detection chamber was numerically simulated by using the CFD. This paper proposed the models of 3 types of chamber detection original structures, and the uniformity and stability of olfactory sensors' detection area from the optimal model were compared with the test results. The 3 types of detection chamber original structures were linear arrangement, parallel arrangement and structure of multi nasal ducts. Each model design was mainly composed of an intake pipe, a detection chamber, a sensor array and a vent pipe. The fluid flow rate was much smaller than the acoustic velocity and the fluid flow was considered as an incompressible process inside the chamber. In the process of olfactory detection, the fluid flowed into the detection chamber from the intake pipe and flowed out of the vent pipe, so the inlet boundary was set to velocity inlet. Outlet pressure boundary conditions were selected, and the natural pressure was taken as the boundary value. The fluid temperature in the chamber was room temperature which was 26 ℃. The wall had no slip boundary condition, and was assumed to be a rigid wall without considering the influence of wall elasticity. The speed deviation ratio and the nonuniformity coefficient were chosen as comprehensive evaluation indicators. The velocity distribution in chamber flow field was obtained and used to analyze the original structures to provide the preference design. The detection chamber of multi nasal ducts corresponded to inclination model. The simulation results indicated that the structures of detection chamber influenced air velocity distribution. The detection chamber of multi nasal ducts along the pipe axis (0.035-0.049 m range) had a velocity smooth region, the velocity of which was stabilized merely at 0.018-0.268 m/s, which could meet the requirement of detection condition. There were no velocity smooth regions in the linear arrangement, and the airflow velocity of smooth regions in parallel arrangement merely ranged from 0.001 to 0.018 m/s. The detection chamber of multi nasal ducts showed the advantage in the uniform and stability of velocity, of which the maximum values of speed deviation ratio and nonuniformity coefficient were calculated to be 0.8306 and 0.292, respectively. Meanwhile, in the gas detection period by the numerical simulation, the detection time of 3 models was 223.4, 302.0 and 213.8 s, respectively, and the minimum value of the structure of multi nasal ducts showed that it had fast flow response and high working efficiency. Moreover, the optimum structure could effectively improve the consistency of the sensors' numerical detection, and the standard deviation and the coefficient of variation ranged from 0.1535 to 0.4283 and from 0.0305 to 0.0827, respectively. The results provide a reference for the uniformity design of flow field structures similar to the detection chamber.
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