CAJ | 학술논문

为了拓宽余热排出泵设计高效区的范围，提出了一种基于Kriging近似模型和遗传算法的优化方法。采用拉丁超立方试验设计方法对叶轮叶片的进口冲角?β、包角φ及出口安放角β2进行16组方案设计，并采用ANSYS CFX14.5对16组叶轮方案进行定常数值模拟，选取离心泵设计工况1.0Qd和大流量工况1.62Qd下的效率为水力优化设计目标，建立了效率与叶片三个参数之间的Kriging近似模型，并应用多目标遗传算法对近似模型进行寻优，得到了最优的叶片参数。对原始方案进行外特性试验，数值模拟结果与试验结果基本吻合。优化后，叶轮在两工况下的效率均高于原始泵，效率分别提高了5.53%和2.29%。同时对比优化前后的泵内部速度分布，表明在设计工况和大流量工况下，优化后的叶轮内部相对速度分布更均匀，水力损失较小。提出的叶轮优化方法对泵性能提高提供了有效参考。
위료탁관여열배출빙설계고효구적범위，제출료일충기우Kriging근사모형화유전산법적우화방법。채용랍정초립방시험설계방법대협륜협편적진구충각?β、포각φ급출구안방각β2진행16조방안설계，병채용ANSYS CFX14.5대16조협륜방안진행정상수치모의，선취리심빙설계공황1.0Qd화대류량공황1.62Qd하적효솔위수력우화설계목표，건립료효솔여협편삼개삼수지간적Kriging근사모형，병응용다목표유전산법대근사모형진행심우，득도료최우적협편삼수。대원시방안진행외특성시험，수치모의결과여시험결과기본문합。우화후，협륜재량공황하적효솔균고우원시빙，효솔분별제고료5.53%화2.29%。동시대비우화전후적빙내부속도분포，표명재설계공황화대류량공황하，우화후적협륜내부상대속도분포경균균，수력손실교소。제출적협륜우화방법대빙성능제고제공료유효삼고。
To enlarge the high efficiency area of the residual heat removal pump (RHRP), an optimization process is proposed based on Kriging model and neighborhood cultivation genetic algorithm (NCGA). 16 design cases containing three main parameters, which are incidence angle ?β, are angleφ and outlet blade angleβ2, are designed by using the Latin hypercube sampling (LHS) methods. The efficiencies are calculated by steady numerical simulation. The efficiencies under the design point 1.0Qd and 1.62Qdare selected as the objective functions. Approximation models between the efficiencies and the parameters are built by Kriging model. The neighborhood cultivation genetic algorithm is applied to optimize the approximation models to obtain the best combination of parameters. The results show that the predicted performance has a good agreement with that of the experiment of the original pump. The efficiencies of the optimal pump are 5.53% and 2.29% higher than those of the original one under 1.0Qd and 1.62Qd, respectively. Meanwhile, the relative velocity distributions are more uniform in the optimal impeller. The optimization method can provide an effective reference to the improvement of pump’s performance.