Diagnostics of Internal-Grinding Cycles at the Design Stage

Author:

Akintseva A. V.,Prokhorov A. V.,Omel’chenko S. V.,Simonov E. N.

Publisher

Allerton Press

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference12 articles.

1. Uhlemann, T.H.-J., Lehmann, C., and Steinhilper, R., The digital twin: realizing the cyber-physical production system for Industry 4.0, Procedia CIRP, 2017, vol. 61, pp. 335–340.

2. Uhlemann, T.H.-J., Schock, C., Lehmann, C., Freiberger, S., et al., The digital twin: demonstrating the potential of real time data acquisition in production systems, Procedia Manuf., 2017, vol. 9, pp. 113–120.

3. Preuveneers, D., Joosen, W., and Ilie-Zudor, E., Robust digital twin compositions for Industry 4.0 smart manufacturing systems, Proc. 2018 IEEE 22nd Int. Enterprise Distributed Object Computing Workshop, Piscataway, NJ: Inst. Electr. Electron. Eng., 2018, vol. 22, pp. 110–118.

4. Malkin, S. and Guo, C., Grinding Technology: Theory and Applications of Machining with Abrasives, Reston, VA: Am. Soc. Civ. Eng., 2008.

5. Alagumurthi, N., Panairadja, K., and Soundararajan, V., Optimization of grinding process through design of experiment (DOE)—A comparative study, Mater. Manuf. Process., 2006, vol. 21, no. 1, pp. 19–21.

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