Justification of Technological Possibilities for Reducing Surface Roughness During Abrasive Processing

Author:

Novikov FedirORCID,Novikov DmytroORCID,Hutorov AndriiORCID,Ponomarenko YevhenORCID,Yermolenko OleksiiORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Jeevanantham, S., Sivaram, N.M., Robinson Smart, D.S., Nallusamy, S.: Optimization of internal grinding process parameters on C40E steel using taguchi technique. Int. J. Appl. Eng. Res. 12(19), 8660–8664 (2017)

2. Karkalos, N.E., Kundrák, J., Markopoulos, A.P.: Assessment of the performance of neural networks models for the prediction of surface roughness after grinding of steels. Int. J. Artif. Intell. 15(1), 55–75 (2017)

3. Klocke, F.: Manufacturing Processes 2. Grinding, Honing, Lapping. Springer, Berlin (2009)

4. Zverintcev, V.V., Zavershinskaia, I., Tiaguseva, I., Zverintceva, L.V.: The physical nature of the abrasive polishing process. Curr. Probl. Aviat. Cosmonaut. 1(10), 11–12 (2014)

5. Fu, G., Chandra, A.: A model for wafer scale variation of material removal rate in chemical mechanical polishing based on viscoelastic pad deformation. J. Electron. Mater. 31(10), 1066–1073 (2002)

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