In-process analysis of the dynamic deformation of a bionic lightweight gear

IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Mechanical Systems and Signal Processing Pub Date : 2025-04-01 Epub Date: 2025-02-19 DOI:10.1016/j.ymssp.2025.112446
Philipp Thomaneck , Marina Terlau , Ronald Eberl , Axel von Freyberg , Andreas Fischer
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Abstract

Lightweight gears enable the weight reduction of frequently used mechanical engineering parts, but require an in-depth understanding of their mechanical load capacity. Therefore, the dynamic load behavior of a holistic bionic lightweight gear with a weight reduction of 61 % compared to a conventional solid gear is investigated. An in-process measuring system consisting of strain gauges and a telemetry system for recording the strain condition during dynamic tooth meshing is used. Based on finite element simulation data, four gear positions with biaxial strain fields on the gear surface were identified to position and align the strain gauges with high sensitivity. As a result, the sensors are capable of resolving the local material load during the gear revolutions over time, since the experimental results agree with theoretical considerations. For instance, regions of single-tooth contact and double-tooth contact are detectable during meshing, as well as the load due the meshing of a neighboring tooth. Furthermore, the observed gear deformations for the different transmission torques are proven to be elastic, and a biaxial strain measurement is demonstrated and verified by the simulation data. Thus, the in-process deformation behavior of a holistic bionic gear can be monitored over time, opening up structural health monitoring applications in future.
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仿生轻量化齿轮动态变形过程分析
轻量化齿轮能够减轻经常使用的机械工程部件的重量,但需要深入了解其机械负载能力。因此,研究了一种整体仿生轻量化齿轮的动态载荷行为,与传统实体齿轮相比,该齿轮的重量减轻了61%。采用了一种由应变片和遥测系统组成的过程测量系统,用于记录动态齿啮合过程中的应变情况。基于有限元仿真数据,确定了齿轮表面具有双轴应变场的4个齿轮位置,实现了应变片的高灵敏度定位和对中。由于实验结果与理论考虑一致,因此传感器能够在齿轮旋转期间解决局部材料负载。例如,在啮合过程中可以检测到单齿接触和双齿接触区域,以及相邻齿啮合引起的负载。此外,观测到的不同传动扭矩下的齿轮变形是弹性的,并通过仿真数据验证了双轴应变测量的正确性。因此,整体仿生齿轮在加工过程中的变形行为可以随着时间的推移进行监测,为未来的结构健康监测应用开辟了道路。
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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