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题名:
Optimization of Convective Heat Transfer Coefficients of the Mechanical Spindle Based on Bee Colony Algorithm
其他题名: 基于蜂群算法的机床主轴对流换热系数优化
作者: Pian JX(片锦香); Liu MJ(刘美佳); Liu JX(刘金鑫); Gong W(宫巍); Zhang LX(张丽秀)
作者部门: 信息服务与智能控制技术研究室
通讯作者: 刘金鑫
关键词: 机械主轴 ; 主轴温度 ; 对流换热系数 ; 蜂群算法
刊名: 控制工程
ISSN号: 1671-7848
出版日期: 2016
卷号: 23, 期号:9, 页码:1349-1355
收录类别: CSCD
产权排序: 2
项目资助者: 国家自然科学基金(5135317) ; 中国科学院重点实验室开放基金(WLHKZ2015002)
摘要: 机床主轴温度场分析是一种减少主轴热误差,提高主轴精度及其稳定性的重要方法。作为热分析边界条件中关键参数的对流换热系数,其值的大小反映了主轴零部件表面与空气对流换热的强度,对主轴有限元温度场分析结果的影响最为明显。深入研究主轴对流换热系数的影响因素,提出一种基于人工蜂群优化算法的机床主轴换热系数优化算法。实验表明,提出的蜂群算法能够根据环境温度和转速而自动寻找优化的主轴换热系数。
英文摘要: Temperature field analysis of the mechanical spindle is important to reduce the thermal deformation and improve the machining accuracy. The convective heat transfer coefficients, as the key parameters of the mechanical spindle temperature model, describe the convective heat transfer between the surface of the spindle and the air. In this paper, we do a research on the influencing factors of the convective heat transfer coefficients, and a new optimization algorithm to determine the convective heat transfer coefficients of the spindle is proposed by using the bee colony optimization algorithm. Experimental results indicate that the bee colony algorithm can automatically adjust the convection heat transfer coefficients of the spindle according to the changing ambient temperature and the spindle rotational speed.
语种: 英语
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19389
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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Recommended Citation:
Pian JX,Liu MJ,Liu JX,et al. Optimization of Convective Heat Transfer Coefficients of the Mechanical Spindle Based on Bee Colony Algorithm[J]. 控制工程,2016,23(9):1349-1355.
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