基于遗传算法的数控磨床可靠性优化分配技术研究  

Study in Reliability Optimal Allocation Technology of CNC Grinder Based on Genetic Algorithm

作　　者：刘勇军[1] 张新锋[1] 

机构地区：[1]鹤壁职业技术学院机电工程学院,河南鹤壁458030

出　　处：《机床与液压》2015年第11期201-204,共4页Machine Tool & Hydraulics

基　　金：河南省教育厅科学技术研究重点项目(14B46002)

摘　　要：可靠性设计是保证产品质量的重要环节,可靠性分配是可靠性设计的主要内容,可靠性指标分配受到成本的制约。数控磨床是精密制造系统中最后一个加工设备,其可靠性的高低对加工质量和生产效率有重要影响。为了确保数控磨床在一定的系统可靠性水平下成本最低,提出了可靠性优化分配技术。建立了数控磨床的可靠性优化分配模型,利用遗传算法对数控磨床的各个子系统进行可可靠性指标分配,并将分配后的成本与现有数控磨床的成本进行了比较,结果表明:总成本可以降低3.7%,优化效果明显;该方法可以应用在数控磨床的可靠性设计中,也可以为其他类似机电产品的可靠性设计提供参考。Reliability design is important to product＇s quality, reliability allocation is the main assignment of reliability design, and reliability index allocation is constrained by the cost. CNC grinder is the last machinery tool in precise manufacturing, whose relia- bility level will influence greatly to the manufacturing quality and production efficiency. The reliability optimal allocation method was proposed for the lowest cost in order to maintain a certain reliability level of the system of CNC grinder. The reliability optimization allo- / cation model was created, the reliability index was allocated for each subsystem of the CNC grinder by using the genetic algorithm, and the costs were compared for that of the allocated and the present CNC grinder. The results show that the overall cost can be dropped 3.7%, and the optimization effect is obvious. The method can be used in reliability design of CNC grinder, also provides reference for reliability design to other mechanical and electrical products alike.

关 键 词：可靠性分配 优化模型 遗传算法 数控磨床 最小二乘法 

分 类 号：TG58[金属学及工艺—金属切削加工及机床]