Real-time prediction of grinding surface roughness based on multi-sensor signal fusion

Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network

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Engineering, Computational Engineering, Mechanical Engineering +17

Selection of optimum conditions for maximum material removal rate with surface finish and damage as constraints in SiC grinding

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Engineering, Manufacturing Engineering, Materials Engineering +14

New insights into the methods for predicting ground surface roughness in the age of digitalisation

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Engineering, Civil Engineering, Earth Sciences +14

On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning

Yanan Pan, Renke Kang, Zhigang Dong et al. · Journal of Intelligent Manufacturing · 2020 · 91 citations

Engineering, Materials Engineering, Mechanical Engineering +15

Online monitoring of surface roughness and grinding wheel wear when grinding Ti-6Al-4V titanium alloy using ANFIS-GPR hybrid algorithm and Taguchi analysis

DuyTrinh Nguyen, Shaohui Yin, Qingchun Tang et al. · Precision Engineering · 2018 · 90 citations

Engineering, Manufacturing Engineering, Materials Science +17