期刊文献+

一种面向自动生产线的刀具更换决策方法 被引量:6

Tool Replacement Decision-making Method for Automatic Production Line
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摘要 合理控制刀具更换对于减少生产线停机损失、提高生产效率具有重要意义。分析刀具预防性更换与故障性更换之间的差异,对故障性刀具更换时间的不确定性进行描述,建立刀具更换的时间成本模型;把刀具寿命的不确定性和刀具故障性更换时间的不确定性作为刀具更换决策的影响因素,以单位产品平均成本最小化为目标,建立一种刀具更换周期决策模型,设计基于黄金分割法的最优刀具更换周期求解算法;对设备检查及故障诊断时间的期望值、威布尔刀具寿命分布函数的形状参数和尺度参数变化对刀具更换周期的影响进行了分析,通过实例对决策模型和算法的有效性进行了验证。 Effective control of tool replacement is of great significance for reducing losses in downtime and improving productivity of production line.The differences between preventive tool replacement and corrective tool replacement are analyzed.The uncertainty of the corrective tool replacement time is described.A cost model for tool replacement time is developed.Taking into account both the uncertainty of tool life and time for performing corrective tool replacement,a decision-making model for tool replacement cycle is established and the objective is to minimize the average cost per unit part.An algorithm based on the golden section method is given for obtaining the optimal tool replacement cycle.Effects of the parameters such as the expectation of equipment inspection and fault diagnosis time,shape parameter and scale parameter of Weibull tool life distribution on the optimal tool replacement cycle are investigated.An example is presented finally to illustrate the proposed tool replacement approach.
出处 《机械工程学报》 EI CAS CSCD 北大核心 2014年第9期131-135,共5页 Journal of Mechanical Engineering
基金 国家科技重大专项资助项目(2011ZX04001-041)
关键词 刀具更换 故障性维修 决策模型 不确定性 tool replacement corrective maintenance decision model uncertainty
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共引文献16

同被引文献46

  • 1董勋,郭亮,高宏力,刘宸宇,李磊.代价敏感卷积神经网络:一种机械故障数据不平衡分类方法[J].仪器仪表学报,2019,40(12):205-213. 被引量:24
  • 2刘稳善,惠记庄,张天明.铣床振动和噪声测试[J].长安大学学报(自然科学版),2004,24(6):80-83. 被引量:7
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二级引证文献57

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