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Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing
Journal of Intelligent Manufacturing ( IF 8.3 ) Pub Date : 2020-11-04 , DOI: 10.1007/s10845-020-01702-x
Jinhai Chen , Wenyuan Zhang , Heng Wang

Intelligent manufacturing is a new mode and trend of sustainable manufacturing development. It optimizes the design and manufacturing process of products and greatly reduces the consumption of resources and energy by virtue of the huge potential of computer modeling and simulation and information communication technology. Under the background of intelligent manufacturing, intelligent bearing is proposed on the basis of traditional bearing products. Intelligent bearing is one of the research and development directions of high-end bearings at home and abroad. Embedded test technology is one of the research fields of intelligent bearings at present. Firstly, based on the finite element model, the structural design problems related to the integration of rolling bearing and sensor are studied. According to the load distribution of bearing, the optimal slot position of bearing is determined. Considering the influence of reducing the bearing capacity, the influence of axial and radial slot ways of bearing outer ring on the maximum deformation and stress of bearing outer ring is studied, and the bearing outer ring is analyzed The relationship between the maximum deformation, maximum stress and the groove size of the outer ring of the bearing is determined to provide the basis for the selection and design of the sensor module. Secondly, according to the friction moment formula, the total heat of the bearing is calculated. Based on the workbench, the temperature field cloud distribution model of the rolling bearing is established to analyze the changes of the speed, the radial load and the temperature of the inner and outer ring of the bearing Finally, according to the slot position and slot size, select the appropriate sensor and rolling bearing integration to achieve the real-time monitoring of the operation state of the bearing.



中文翻译:

基于有限元模拟的智能轴承结构和温度场分析,实现可持续和绿色制造

智能制造是可持续制造业发展的新模式和新趋势。它凭借计算机建模,仿真和信息通信技术的巨大潜力,优化了产品的设计和制造过程,并大大减少了资源和能源的消耗。在智能制造的背景下,在传统轴承产品的基础上提出了智能轴承。智能轴承是国内外高端轴承的研发方向之一。嵌入式测试技术是目前智能轴承的研究领域之一。首先,基于有限元模型,研究了与滚动轴承和传感器集成相关的结构设计问题。根据轴承的载荷分布,确定轴承的最佳开槽位置。考虑到减小承载力的影响,研究了轴承外圈轴向和径向槽孔方式对轴承外圈最大变形和应力的影响,并分析了轴承外圈最大变形与最大应力之间的关系。确定轴承外圈的凹槽尺寸,为传感器模块的选择和设计提供依据。其次,根据摩擦力矩公式,计算出轴承的总热量。在工作台的基础上,建立了滚动轴承的温度场云分布模型,以分析轴承的内,外圈的转速,径向载荷和温度的变化。

更新日期:2020-11-04
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