| 引用本文: | 孙伟,张淑婷,杜开平,欧阳佩旋,杨谨赫.SiC颗粒对轧辊表面镀层应力影响的有限元分析*[J].中国表面工程,2023,36(3):171~179 |
| SUN Wei,ZHANG Shuting,DU Kaiping,OUYANG Peixuan,YANG Jinhe.Finite Element Analysis of the Effect of SiC Particles on the Stress of Roll Surface Composite Electroplating Coating[J].China Surface Engineering,2023,36(3):171~179 |
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| 摘要: |
| 目前针对多颗粒复合镀层有限元模型的建立尚不准确。以轧辊的服役工况为背景，利用 Python 语言和 ABAQUS 软件建立试块底面带有 SiC 颗粒增强 Ni 基复合镀层的环-块滑动摩擦有限元模型，系统研究 SiC 颗粒含量和尺寸对涂层表面及涂层-基体界面峰值等效应力的影响规律。结果表明：当 SiC 颗粒含量为 3 vol.%~9 vol.%时，涂层表面和涂层-基体界面峰值应力随颗粒含量的增大而增大，分别增大了 78.01%和 32.06%；当 SiC 颗粒含量为 9 vol.%~15 vol.%时，随着颗粒含量的增大， 涂层表面峰值应力呈下降趋势，降低了 13.02%，而涂层-基体界面峰值应力基本保持不变；当 SiC 颗粒直径为 0.8~1 μm 时， 涂层表面及涂层-基体界面峰值应力随颗粒尺寸的减小而增大，分别增大了 51.5%和 32.6%；当 SiC 颗粒直径为 0.3~0.8 μm 时，涂层表面及涂层-基体界面峰值应力基本保持不变。综合考虑轧辊表面镀层的性能需求以及实际复合电镀工艺，依据界面应力与镀层结合状态之间的关系，SiC 颗粒含量以 9 vol.%左右为宜，SiC 颗粒直径以 0.8 μm 左右为宜。所建立的多颗粒随机分布涂层基体的有限元模型更接近于实际复合镀层结构，研究结果可为复合镀层的设计与制备提供参考。 |
| 关键词: 复合镀层 SiC 颗粒 有限元分析 Python 应力场 |
| DOI：10.11933/j.issn.1007?9289.20221018001 |
| 分类号:TG174 |
| 基金项目:国家重点研发计划(2018YFB2002000)、北方工业大学高层次人才科研启动基金(XN277，110051360002)和北京市基金-市教委联合(KZ201910009010)资助项目 |
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| Finite Element Analysis of the Effect of SiC Particles on the Stress of Roll Surface Composite Electroplating Coating |
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SUN Wei1, ZHANG Shuting1, DU Kaiping2, OUYANG Peixuan1, YANG Jinhe1
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1.School of Mechanical and Material Engineering, North China University of Technology, Beijing 100144 , China;2.Mining and Metallurgy Technology Group Co.Ltd, Beijing 100160 , China
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| Abstract: |
| SiC particle-reinforced Ni-based composite electroplating coatings can significantly improve the surface hardness and wear resistance of rolls. The content and size of the SiC particles are critical parameters that influence the coating performance. Stress can predict the hardness and service life of coatings, providing a theoretical basis for coating design and preparation. With the continuous development of computer technology, the finite element method has become an indispensable method that can significantly shorten the design cycle. However, current finite element models for multiparticle composite electroplating coatings are inaccurate, and most are represented by a single model. Based on the service conditions of the roll, a ring-block sliding friction model was established as a reference to more accurately and quickly establish a finite element model of many randomly distributed particles on the coating matrix. The ABAQUS simulation software was developed using the Python language to establish a simulation model of the ring-block sliding friction with SiC particle-reinforced Ni-based composite electroplating coatings at the bottom of the test block. The contact analysis of the sliding friction and wear process showed strong nonlinearity; therefore, the simulation process was calculated based on the nonlinear effect. The test ring and block were subjected to dry friction at room temperature. The upper surface of the test block was subjected to a normal load of 300 N. Simultaneously, the angular speed during the simulation process was 0.6 rad / s. During the sliding friction process, the displacement of both ends of the test block along the X-axis was maintained at zero, and all degrees of freedom of the test ring, except for rotation around the X-axis, were constrained. After the friction experiment, the effects of the SiC particle content and size on the coating surface and coating-substrate interface stress were investigated. The results showed that the equivalent stress at the contact position of the test ring-test block was the largest owing to the relative sliding friction and wear between the coating and the test block. The peak equivalent stress at the coating surface and coating-substrate interface were generated in the friction and wear area of the contact center, and the von Mises equivalent stress gradually decreased from the bottom to the top in the thickness direction of the test block. The peak stress in the normal direction was distributed near the normal vertical axis, which corresponded to the contact point of the test ring-test block interface. The peak equivalent stress of the coating surface first increased and subsequently decreased with an increase in the SiC particle content at 3 vol.%-15 vol.%. The peak equivalent stress of the coating-substrate interface first increased and remained unchanged with increasing particle content. The peak stresses of the coating surface and coating-substrate interface were the largest when the particle content was 9 vol.%, which were 272.54 and 159.58 MPa, respectively. The peak equivalent stresses of the coating surface and coating-substrate interface significantly increased with decreasing diameter of the SiC particles at 0.8-1 μm, which increased by 51.5 % and 32.6 %, respectively. The peak stresses of the coating surface and coating-substrate interface remained unchanged when the diameter of the SiC particles ranged from 0.3 to 0.8 μm. Considering the performance requirements of the coating on the roll surface and the actual composite electroplating process based on the relationship between the interface stress and coating bond state, the content and diameter of SiC particles should be approximately 9 vol.% and 0.8 μm, respectively. The established finite element model of a multiparticle random distribution coating matrix is closer to the actual composite coating structure. This study provides a reference for designing and preparing composite electroplating coatings. |
| Key words: composite electroplating coating SiC particle finite element analysis Python stress field |
