期刊文献+

工程陶瓷内圆磨削表面粗糙度研究 被引量:7

Study on Surface Roughness of Engineering Ceramics by Internal Grinding
下载PDF
导出
摘要 研究工程陶瓷内圆磨削表面粗糙度的影响因素。利用氮化硅陶瓷内圆磨削正交试验,分析了砂轮线速度、工件线速度与磨削深度对表面粗糙度的影响,并在此基础上进行了砂轮粒度单一因素影响试验,采用泰勒粗糙度测量仪测得了加工表面粗糙度从0.2646μm^0.5424μm的一系列磨削表面,分析试验结果建立了氮化硅陶瓷内圆磨削表面粗糙度经验公式预测模型。由试验结果得到表面粗糙度随砂轮粒度号的增大、砂轮线速度的提高及工件线速度的降低而减小,随磨削深度的增加整体上呈变大趋势,且砂轮线速度的影响较大,工件线速度次之,磨削深度的改变对表面粗糙度的影响作用不是很明显。经F检验表明预测模型具有较好的预测效果,最大相对误差为10.23%,为实际加工合理选择磨削参数提供了试验依据和参考。 The influence factors of surface roughness in internal grinding of engineering ceramics were studied.The effects of grinding wheel linear velocity,workpiece linear speed and grinding depth on surface roughness were analyzed by the orthogonal test of internal grinding of Si 3N 4 ceramics.On this basis,a single factor test of particle size of the wheel was carried out.A series of grinding surface that the surface roughness from 0.2646μm to 0.5424μm was measured through the Taylor Hobson roughness measuring instrument.A prediction model of surface roughness empirical formula for the internal grinding of Si 3N 4 ceramics was established based on the experimental results.From the experimental results,the surface roughness decreases with the increase of grinding wheel linear velocity and the reduction of workpiece linear speed and particle size.And the increase of grinding depth,the general change trend of surface roughness is rising.The grinding wheel linear speed has a great influence on the surface roughness,the workpiece line speed is the second,and the effect of the grinding depth on the surface roughness is not very obvious.The result of F-test shows that the prediction model has good prediction effect,and the maximum relative error is 10.23%.Therefore,in actual processing,the proposed model provides the experimental basis and reference for the reasonable selection of grinding parameters.
作者 闫海鹏 吴玉厚 王贺 YAN Hai-peng;WU Yu-hou;WANG He(School of Mechanical Engineering,Shenyang Jianzhu University,Shenyang 110168,China;National Engineering Laboratory of High-Grade Stone Material Numerical Control Machining Equipment and Technology,Shenyang Jianzhu University,Shenyang 110168,China)
出处 《组合机床与自动化加工技术》 北大核心 2018年第4期29-32,共4页 Modular Machine Tool & Automatic Manufacturing Technique
基金 国家自然科学基金(51675353)
关键词 氮化硅陶瓷 表面粗糙度 磨削参数 预测模型 内圆磨削 Si 3N 4ceramics surface roughness grinding parameters prediction model internal grinding
  • 相关文献

参考文献13

二级参考文献157

共引文献121

同被引文献64

引证文献7

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部