提出了确定滚动轴承最佳预紧力的方法

IF 5.7 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Slavomir Hrcek , Robert Kohar , Frantisek Brumercik , Daniel Kozarik , Jan Steininger , Witold Glowacz , Zhixiong Li
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引用次数: 0

摘要

滚动轴承是各种机械系统中的关键部件,其适当的预紧力可确保最佳的操作性能,提高轴承寿命,并最大限度地减少磨损。预紧调整不足或轴承间隙设置不当会导致磨损增加和过早失效,对机械的整体可靠性和效率产生不利影响。本研究旨在开发一种方法来确定滚动轴承的最佳预紧力,根据所选结构节点的负载条件和占空比进行定制-在这种情况下,是铁路车辆驱动单元的齿轮箱。所提出的方法考虑了预载荷对接触压力、疲劳寿命和轴承动态行为的影响,借鉴了以往研究和实验结果的见解。通过实施这种方法,系统在各种应用中的可靠性和效率,包括高速机械,汽车部件和风力涡轮机,可以显着提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposed methodology for determining the optimal preload of rolling bearings
Rolling bearings are key components in various mechanical systems, where their proper preload ensures optimal operational performance, enhances bearing life, and minimises wear. Inadequate preload adjustment or improper clearance settings in bearings can lead to increased wear and premature failure, adversely affecting the overall reliability and efficiency of machinery. This study aims to develop a methodology for determining the optimal preload of rolling bearings, tailored to the load conditions and duty cycles of a selected structural node - in this case, the gearbox of a railway vehicle's drive unit. The proposed methodology considers the effects of preload on contact pressure, fatigue life, and the dynamic behaviour of bearings, drawing upon insights from previous studies and experimental findings. By implementing this methodology, the reliability and efficiency of systems in various applications, including high-speed machinery, automotive components, and wind turbines, can be significantly improved.
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来源期刊
Advances in Engineering Software
Advances in Engineering Software 工程技术-计算机:跨学科应用
CiteScore
7.70
自引率
4.20%
发文量
169
审稿时长
37 days
期刊介绍: The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.
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