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出 处:《机械工程与技术》2020年第6期553-561,共9页Mechanical Engineering and Technology
摘 要:加工中心是先进制造业的基础装备,其可靠性水平直接关系到产品性能的优劣。目前,加工中心刀库及机械手等关键功能部件可靠性失效数据为非均匀离散数据,难以对加工中心的可靠性提高起明显作用。为此,本文提出采用马尔科夫模型与发生函数结合的方法,具体评估各分系统状态对寿命范围内加工中心可靠性的影响。基于发生函数获得的加工中心可靠度数据,建立响应面模型,获得各分系统对加工中心可靠性影响水平,进而得到了加工中心刀库及机械手等分系统参数对加工中心可靠性的影响因子,为加工中心的改进设计提供了理论与实验依据。Tool machining is the basic equipment of advanced manufacturing industry, whose reliability level is directly related to the performance of the engine. Currently, the reliability failure data of key functional parts including tool bank and manipulator of machining center is non-uniform discrete data, which is ineffective in the reliability optimization of machining center. Hence, this paper presents one method of combining Markov model and generating function to concretely calculate the influence of each subsystem state on the reliability of machine center within the lifetime range. Based on the reliability data obtained through the generating function of machining center, we establish the response surface model to acquire the influence level of reliability for each subsystem. Then we get the influence factors of parameters of cutter storehouse and manipulator on the reliability of machining center, which provides the theoretical and experimental data basis for the improvement of machining center design.
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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