| 摘要: |
| 风力发电机法兰承受较大切向载荷,法兰结合面的静摩擦因数直接影响法兰连接性能,目前法兰静摩擦因数预测理论和表面工艺优化的研究较少。 为建立风电法兰结合面静摩擦因数预测模型,探究表面工艺参数对法兰静摩擦因数的影响。 基于分形理论构建法兰结合面静摩擦因数的分形预测模型,并采用摩擦试验对预测模型的准确性进行验证。 设计正交试验来探究表面粗糙度、表面处理工艺、表面涂层多种表面工艺参数对静摩擦因数的影响,建立表面工艺参数与静摩擦因数映射数学模型,基于该数学模型得到产生最大静摩擦因数的工艺组合方案。 研究结果表明:静摩擦预测模型具有较高的准确性, 为法兰精确化设计提供了理论基础。 对正交试验结果进行极差和方差分析得出:表面粗糙度对静摩擦因数影响最小,表面处理工艺次之,表面涂层的影响最大,产生最大静摩擦因数的表面工艺为:表面粗糙度为 Ra 6. 3、表面喷丸处理、涂覆 Paint B 油漆,建立的表面工艺参数与静摩擦因数映射数学模型能够准确获得最优表面工艺参数,缩短了法兰表面工艺设计周期。 |
| 关键词: 法兰 静摩擦因数 分形理论 表面涂层 喷丸 |
| DOI：10.11933/j.issn.1007-9289.20210722001 |
| 分类号:TH117 |
| 基金项目:国家自然科学基金(52035006, 51875382)；第六批山西新兴产业领军人才(202006)；山西省回国留学人员科研 (2020—125) 资助项目 |
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| Friction Factor Prediction and Surface Technology Optimization of Wind Power Flange |
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SHI Minjie, WANG Jianmei, HOU Dingbang, NING Ke
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Engineering Research Center Heavy Machinery Ministry of Education,Taiyuan University of Science and Technology, Taiyuan 030024 , China
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| Abstract: |
| The flange of wind turbine bears large tangential load, and the static friction factor of flange joint surface directly affects the flange connection performance. At present, there are few studies on the prediction theory of flange static friction factor and surface process optimization. In order to establish the prediction model of static friction factor of wind power flange joint surface, the influence of surface process parameters on flange static friction coefficient is explored. The fractal prediction model of static friction factor of flange joint surface is constructed based on fractal theory, and the accuracy of the prediction model is verified by friction experiment. Orthogonal experiments are designed to explore the effects of surface roughness, surface treatment process and surface coating on the static friction factor. The mapping mathematical model between surface process parameters and static friction factor is established. Based on the mathematical model, the process combination scheme with the maximum static friction factor is obtained. The results show that the static friction prediction model has high accuracy, which provides a theoretical basis for the accurate design of flange. The range and variance analysis of the orthogonal test results show that the surface roughness has the least influence on the static friction factor, the surface treatment process takes the second place, and the surface coating has the greatest influence. The surface processes that produce the maximum static friction factor are roughness Ra 6. 3, surface shot peening, coating Paint B. The mapping mathematical model between surface process parameters and static friction factor can accurately obtain the optimal surface process parameters and shorten the flange surface process design cycle. |
| Key words: flange static friction factor fractal theory surface coating shot peening |
