识别错位宽面螺旋齿轮对齿面上不均匀载荷分布的有效方法

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Qizhi Wan;Jiajun Chen;Weifang Chen;Rupeng Zhu
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引用次数: 0

摘要

宽面斜齿轮通常用于需要高扭矩传输的船舶和工业应用中。这些齿轮对轴错位非常敏感,轴错位会改变齿轮对的载荷分布,导致接触应力和齿根应力(TRS)增加。本研究采用有限元法分析了不同对中误差 (ME) 下不同位置的齿面载荷分布与 TRS 分布之间的关系。最终确定通过齿槽中心的 TRS 分布反映了齿面的接触状态,并通过定量分析揭示了 ME 与载荷分布不均匀程度之间的关系,建立了通过通过齿槽中心的 TRS 分布识别齿面载荷分布不均匀程度的方法。最后,提出了一种新的应变片布置方法,并进行了实验验证。该方法可有效捕捉具有偏差和节距误差的宽齿面斜齿轮的 TRS,从而获得更精确的齿槽中心 TRS 分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Effective Method for Identifying Uneven Load Distribution on the Tooth Faces of Misaligned Wide-Faced Helical Gear Pairs
Wide-faced helical gears are commonly used in ships and industrial applications, where high torque transmission is required. These gears are highly sensitive to shaft misalignment, which can alter the load distribution across a gear pair, leading to increased contact stress and tooth root stress (TRS). In this study, the finite element method is employed to analyze the relationship between load distribution on the tooth face and TRS distribution at various positions under different misalignment errors (MEs). It was ultimately determined that the TRS distribution through the tooth slot center reflects the contact state of the tooth face, and through quantitative analysis, reveals the relationship between ME and the degree of load distribution unevenness, establishing a method to identify the degree of load distribution unevenness on the tooth face by the TRS distribution through the center of the tooth slot. Finally, a new strain gauge arrangement method is proposed and experimentally validated. This method effectively captures the TRS of wide-faced helical gears with misalignment and pitch errors, thereby obtaining a more accurate TRS distribution at the center of the tooth slot.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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