摘要
针对现有涡旋压缩机动平衡性能差的问题,提出一种新的优化方法。在考虑气体力作用的前提下,分析影响动平衡性能的因素。并在此基础上选择将主副轴承的支反力作为优化目标,将平衡块的几何尺寸及周向位置等作为优化变量。采用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)对此多目标优化问题进行求解,利用多体动力学方法验证优化解。结果表明:提出的方法简单易行,可有效降低轴承负载,提高动平衡性能。
In view of the poor dynamic balance performance of the existing scroll compressor, a new optimization method was proposed in this paper. On the premise of considering the effect of gas forces, the factors that affecting the dynamic equilibrium performance were analyzed. On this basis, the supporting reaction force of the primary and secondary bearings was chosen as the optimization objective, and the geometric size and circumferential position of the balance block were taken as the optimization variables, including having non-dominated sorting genetic algorithm(NSGA-Ⅱ) adopted to solve this multi-objective optimization problem. Employing the multi-body dynamics method to verify the optimal solution showed that the method proposed is simple and can effectively reduce bearing load and improve dynamic balance performance.
作者
李浩
胡兆稳
LI Hao;HU Zhao-wen(School of Mechanical Engineering,Hefei University of Technology)
出处
《化工机械》
CAS
2020年第1期54-58,73,共6页
Chemical Engineering & Machinery
作者简介
李浩(1994-),硕士研究生,从事制冷及低温技术的研究,2395810788@qq.com。
