[1]杨树财,周永志,张玉华,等.微织构球头铣刀铣削钛合金表面粗糙度预测[J].哈尔滨理工大学学报,2017,(03):141-146.[doi:10. 15938 /j. jhust. 2017. 03. 026]
 YANG Shu-cai,ZHOU Yong-zhi,ZHANG Yu-hua,et al.Prediction on Surface Roughness of Milling Titanium Alloy with Micro-textured Ball-nosed End Mill[J].哈尔滨理工大学学报,2017,(03):141-146.[doi:10. 15938 /j. jhust. 2017. 03. 026]
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微织构球头铣刀铣削钛合金表面粗糙度预测()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2017年03期
页码:
141-146
栏目:
材料科学与工程
出版日期:
2017-06-25

文章信息/Info

Title:
Prediction on Surface Roughness of Milling Titanium Alloy with Micro-textured Ball-nosed End Mill
文章编号:
1007- 2683( 2017) 03- 0141- 06
作者:
杨树财 周永志 张玉华 佟 欣 刘伟伟
哈尔滨理工大学 机械动力工程学院,黑龙江 哈尔滨 150080
Author(s):
YANG Shu-cai ZHOU Yong-zhi ZHANG Yu-hua TONG Xin LIU Wei-wei
School of Mechanical and Power Engineering,Harbin University of Science and Technology,Harbin 150080,China
关键词:
微织构 正交试验法 表面粗糙度 预测模型
Keywords:
micro-texture orthogonal test surface roughness predictive model
分类号:
TG506
DOI:
10. 15938 /j. jhust. 2017. 03. 026
文献标志码:
A
摘要:
为了研究微织构球头铣刀铣削钛合金加工表面的表面粗糙度,采用正交试验法,进行了微织构球头铣刀铣削钛合金的试验,得出了微坑织构参数与表面粗糙度之间的变化规律并分析了影响机理。利用极差分析法确定了各因素对表面粗糙度影响的主次顺序。通过回归分析原理,建立了表面粗糙度预测模型。统计检验结果表明,所建立的表面粗糙度预测模型是显著的。并对表面粗糙度的预测值与试验观测值进行了对比,证实了模型的可靠性。
Abstract:
In order to study the surface roughness of titanium alloy by micro-textured ball-nosed end mill within milling,based on orthogonal test,the experiment of milling titanium alloy with micro-textured ball end milling cutter was carried out. The variation regularity between the texture parameters and the surface roughness was obtained and the mechanism was analyzed. The influence of various factors on the surface roughness is determined by the range analysis method. Based on the principle of regression analysis,the predictive model of surface roughness was established. The statistical test results show that the prediction model of surface roughness is significant. The predicted values of the surface roughness were compared with the experimental observations,which confirmed the reliability of the model.
更新日期/Last Update: 2017-10-12