Open Access
| Issue |
Mechanics & Industry
Volume 16, Number 7, 2015
STANKIN 85: advanced machining methods and techniques
|
|
|---|---|---|
| Article Number | 707 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/meca/2015088 | |
| Published online | 30 November 2015 | |
- S.N. Grigoriev, V.A. Sinopalnikov, M.V. Tereshin, V.D. Gurin, Control of parameters of the cutting process on the basis of diagnostics of the machine tool and workpiece, Measurement Techniques 55 (2012) 555–558 [Google Scholar]
- S.N. Grigoriev, V.D. Gurin, M.A. Volosova, N.Y. Cherkasova, Development of residual cutting tool life prediction algorithm by processing on CNC machine tool, Materialwissenschaft und Werkstofftechnik 44 (2013) 790–796 [CrossRef] [Google Scholar]
- M.P. Kozochkin, A.N. Porvatov, F.S. Sabirov, Vibration Testing of Technological Processes in Automated Machining Equipment, Measurement Techniques 56 (2014) 1414–1420 [CrossRef] [Google Scholar]
- M.P. Kozochkin, A.N. Porvatov, Estimation of Uncertainty in Solving Multi-Parameter Diagnostic Problems, Measurement Techniques 58 (2015) 173–178 [CrossRef] [Google Scholar]
- S.N. Grigoriev, M.P. Kozochkin, F.S. Sabirov, A.A. Kutin, Diagnostic System as Basic for Technological Improvement, Procedia CIRP: 5th CIRP Conference of High Performance Cutting, Vol. 1, 2012, pp. 599–604 [Google Scholar]
- F. Zhongtao, Y. Wenyu, W. Xuelin, L. Jurgen, Analytical Modelling of Milling Forces for Helical End Milling Based on a Predictive Machining Theory, Procedia CIRP: 15th CIRP Conference on Modelling of Machining Operations (15th CMMO), Vol. 31, 2015, pp. 258–263 [Google Scholar]
- L. Pang, A. Hosseini, H. M. Hussein, I. Deisab, H.A. Kishawy, Application of a new thick zone model to the cutting mechanics during end-milling, Int. J. Mech. Sci. 96-97 (2015) 91–100 [CrossRef] [Google Scholar]
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