Complex wavelet enhanced shape from shading transform for estimating surface roughness of milled mechanical components
Complex wavelet enhanced shape from shading transform for estimating surface roughness of milled mechanical components
复制标题
复杂小波通过着色变换增强形状，用于估计铣削机械部件的表面粗糙度
DOI：
10.1007/s12206-017-0134-0
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发表时间：
2017-02
影响因子：
1.6
通讯作者：
Wei Feng
中科院分区：
文献类型：
--
作者：
Weifang Sun;Binqiang Chen;Bin Yao;Xincheng Cao;Wei Feng
The metal surface topology contains abundant information related to the health states of the cutting tool as well as the cutting operation. In this paper, we attempt to adopt 2D digital images of the machined metal surface, acquired via non-contact photo-imaging techniques, as the monitoring media. A Wallis filter based dodging algorithm is applied to cure the uneven contrast phenomenon caused by imperfect lighting illumination. 3D digital models were derived and retrieved from the digital image using a wavelet enhanced Shape from shading (SFS) transform. The minimization based SFS is presented to retrieve the 3D digital surface from the milled workpiece. The dual tree complex wavelet transform is adopted to enhance SFS such that the interfering noise can be suppressed. In the end, quantitative surface roughness indicators are utilized to estimate the surface roughness numerically. A milling cutting experiment of aero-material of aluminum alloy 7075 was carried out to verify the effectiveness of the proposed approach. The comparison results demonstrate that the proposed approach was capable of retrieving 3D surfaces of high precision. With the approach, the digital image emerges as a promising vehicle for machining condition monitoring of CNC machines.
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DOI：
10.1016/j.ijmachtools.2007.09.001
发表时间：
2008-02-01
影响因子：
14
作者：
Cao, Hongrui;Chen, Xuefeng;He, Zhengjia
通讯作者：
He, Zhengjia
DOI：
10.1016/j.patrec.2010.09.010
发表时间：
2011
期刊：
Pattern Recognit. Lett.
影响因子：
--
作者：
J. Martins;V. Pires;T. Amaral
通讯作者：
J. Martins;V. Pires;T. Amaral
影响因子：
4.2
作者：
Orhan, S;Aktürk, N;Çelik, V
通讯作者：
Çelik, V
DOI：
--
发表时间：
2013
期刊：
Journal of Xi'an Jiaotong University
影响因子：
--
作者：
He Zheng-jia
通讯作者：
He Zheng-jia
使用改进的快速空间频谱系综峰度峰图检测瞬态振动特征及其在旋转机械短持续时间数据的机械特征分析中的应用
影响因子：
8.4
作者：
Chen, BinQiang;Zhang, ZhouSuo;Sun, Chuang
通讯作者：
Sun, Chuang