Neural Network prediction of dry grinding by CBN grinding wheel using special conditioning
Author:
Publisher
Inderscience Publishers
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Neural Simulation of Surface Generated During Magnetic Abrasive Flow Machining of Hybrid Al/SiC/B4C-MMCs;Journal of Bio- and Tribo-Corrosion;2021-10-05
2. Experimental comparison of MO40 steel surface grinding performance under different cooling techniques;International Journal of Lightweight Materials and Manufacture;2019-12
3. Detection of Grinding Temperatures Using Laser Irradiation and Acoustic Emission Sensing Technique;Materials and Manufacturing Processes;2012-04
4. Comparing the performance of neural networks developed by using Levenberg–Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process;Expert Systems with Applications;2012-02
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