A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of Inconel 718

2019 ◽  
Vol 105 (1-4) ◽  
pp. 217-232 ◽  
Author(s):  
Kaiyuan Gao ◽  
Huabin Chen ◽  
Xiaoqiang Zhang ◽  
XuKai Ren ◽  
Junqi Chen ◽  
...  
2014 ◽  
Vol 18 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Shuihua Wu ◽  
Kazem Kazerounian ◽  
Zhongxue Gan ◽  
Yunquan Sun

2020 ◽  
Vol 57 ◽  
pp. 575-588 ◽  
Author(s):  
Xukai Ren ◽  
Ze Chai ◽  
Jijin Xu ◽  
Xiaoqiang Zhang ◽  
Yanbing He ◽  
...  

Materials ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 2440 ◽  
Author(s):  
Junwei Wang ◽  
Jijin Xu ◽  
Xiaoqiang Zhang ◽  
Xukai Ren ◽  
Xuefeng Song ◽  
...  

Surface corrosion resistance of nickel-based superalloys after grinding is an important consideration to ensure the service performance. In this work, robotic belt grinding is adopted because it offers controllable material processing by dynamically controlling process parameters and tool-workpiece contact state. Surface corrosion behavior of Inconel 718 after robotic belt grinding was investigated by electrochemical testing in 3.5 wt % NaCl solution at room temperature. Specimens were characterized by morphology, surface roughness and residual stress systematically. The potentiodynamic polarization curves and electrochemical impedance spectroscopy (EIS) analysis indicate the corrosion resistance of the specimen surface improves remarkably with the decrease of abrasive particle size. It can be attributed to the change of surface roughness and residual stress. The energy dispersive X-ray spectroscopy (EDS) indicates that niobium (Nb) is preferentially attacked in the corrosion process. A plausible electrochemical dissolution behavior for Inconel 718 processed by robotic belt grinding is proposed. This study is of significance for achieving desired corrosion property of work surface by optimizing grinding process parameters.


2018 ◽  
Vol 34 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Junwei Wang ◽  
Jijin Xu ◽  
Xiangfei Wang ◽  
Xiaoqiang Zhang ◽  
Xuefeng Song ◽  
...  

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