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基于数值建模的磨削表面粗糙度预测方法研究 被引量:1

Research on prediction method of grinding surface roughness based on numerical modeling
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摘要 磨削表面粗糙度是表征磨削质量的重要评价指标,磨削微观表面形貌是决定表面粗糙度的重要因素,凭经验难以提前预判磨削后的工件磨削微观表面形貌和粗糙度值。针对此问题,文章提出基于数值建模和试验相结合的方法,实现对磨削表面粗糙度的预测。以喷油器油嘴精密偶件中的针阀体为研究对象,首先基于砂轮磨粒突出高度服从正态分布构建了砂轮的数值模型,在此基础上通过建立砂轮表面磨粒的运动轨迹方程创成磨削微观表面形貌并对表面粗糙度值进行精准计算,最后通过磨削试验证实了文章所提方法的有效性。该方法可为针阀体的高效、高质、低成本加工提供方法支撑。 Grinding surface roughness is an important evaluation index to characterize grinding quality,and grinding micro-surface topography is an important factor to determine surface roughness.It is difficult to predict the grinding micro-surface topography and roughness of workpiece in advance based on experience.To solve this problem,a method based on numerical modeling and experiment was proposed to predict grinding surface roughness.Taking the needle valve body in the precision coupling of the injector nozzle as the research object,a numerical model of the grinding wheel was established based on the fact that the height of the grinding grains obey the normal distribution.On this basis,the grinding microscopic surface topography was generated by establishing the motion trajectory equation of grinding grains on the surface of the grinding wheel,and the surface roughness was accurately calculated.Finally,the effectiveness of the method proposed in this paper was verified by grinding experiments.The method proposed in this paper can provide method support for efficient,high quality and low cost processing of needle valve body.
作者 季宁 丰建海 孙中华 赵洪林 姜金花 贾晨阳 JI Ning;FENG Jianhai;SUN Zhonghua;ZHAO Honglin;JIANG Jinhua;JIA Chenyang(School of Mechanical Engineering,Tianjin Renai College,Tianjin 301636,CHN;State Key Laboratory of Engines,Tianjin University,Tianjin 300072,CHN;Tianjin Xiangshuo Automobile Body Technology Co.,Ltd.,Tianjin 301600,CHN;Tianjin Shenghua Houde Technology Co.,Ltd.,Tianjin 300171,CHN;Beiyou Electronic Fuel Injection System(Tianjin)Co.,Ltd.,Tianjin 301700,CHN)
出处 《制造技术与机床》 北大核心 2023年第8期63-69,88,共8页 Manufacturing Technology & Machine Tool
基金 天津市教委科研计划项目(2022KJ040)。
关键词 针阀体 磨削 数值建模 表面形貌 表面粗糙度 needle grinding numerical modeling surface topography surface roughness
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