联合收割机v带动态能耗建模

IF 8.9 Q1 AGRICULTURE, MULTIDISCIPLINARY
Information Processing in Agriculture Pub Date : 2026-09-01 Epub Date: 2026-01-30 DOI:10.1016/j.inpa.2026.01.016
Baoyan Xu, Yehong Liu, Yining Fu, Xin Wang
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引用次数: 0

摘要

联合收割机的v带在高负荷连续运行时容易发生烧断故障,影响传动可靠性。然而,潜在的热-机械耦合机制仍然知之甚少。为了解决这一限制,本研究提出了一个动态能量耗散模型,该模型解耦了v带传动中的多种产热机制——弯曲滞后、压缩变形、拉伸应变和外部滑动摩擦。采用有限元方法对内摩擦源的时空加载特性进行了表征,并基于粘弹性理论和库仑摩擦定律建立了能量耗散量化方法。建立了稳态传热框架,并通过反建模确定了临界热边界参数。通过将模拟的表面温度场与定制测试平台上的实验数据进行比较,验证了集成热力学模型的有效性。结果表明,稳态温度预测值略微高估,相对误差小于5%,与驱动轮转速和驱动轮载荷有明显的相关性。分析表明,高速运行加剧了内部滞后加热,而高负载条件放大了外部摩擦损失,从而导致热应力升高,增加了烧毁风险。因此,该研究阐明了复合动态载荷下的失效机制,为农业机械动力系统的物理驱动设计优化和预测性维护提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic energy consumption modeling of V-belt in combine harvesters
V-belts in combine harvesters are prone to burnout failures under high-load continuous operations, compromising transmission reliability. However, the underlying thermomechanical coupling mechanisms remain poorly understood. To address this limitation, this study presents a dynamic energy dissipation model that decouples multiple heat generation mechanisms—bending hysteresis, compressive deformation, tensile strain, and external sliding friction—in V-belt drives. Finite element analysis is used to characterize the spatiotemporal loading behavior of internal friction sources, and energy dissipation quantification methods are developed based on viscoelastic theory and Coulomb friction law. A steady-state heat transfer framework is established, and critical thermal boundary parameters are identified through inverse modeling. The integrated thermomechanical model is validated by comparing simulated surface temperature fields with experimental data obtained from a custom-built test rig. The results show that predicted steady-state temperatures are marginally overestimated, with relative errors below 5%, exhibiting clear dependence on driving pulley speed and driven pulley load. The analysis reveals that high-speed operation intensifies internal hysteresis heating, whereas high-load conditions amplify external friction losses—synergistically leading to elevated thermal stress and increased burnout risk. Thus, the study elucidates the failure mechanisms under combined dynamic loads, enabling physics-driven design optimization and predictive maintenance for agricultural machinery powertrains.
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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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