Development of a stability intelligent control system for turning
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Alexandru Epureanu | Vasile Marinescu | Gabriel R. Frumusanu | Ionut C. Constantin | V. Marinescu | A. Epureanu | G. Frumuşanu | I. Constantin
[1] Alpay Yilmaz,et al. Machine-Tool Chatter Suppression by Multi-Level Random Spindle Speed Variation , 1999, Manufacturing Science and Engineering.
[2] Alexandru Epureanu,et al. Method for early detection of the regenerative instability in turning , 2012 .
[3] Reza Kashani,et al. Improving surface roughness in turning using optimal control of tool's radial position , 2005 .
[4] Bi Zhang,et al. Chatter Suppression via an Oscillating Cutter , 1997, Manufacturing Science and Engineering: Volume 2.
[5] M. Movahhedy,et al. Spindle speed variation and adaptive force regulation to suppress regenerative chatter in the turning process , 2010 .
[6] Ossama B. Abouelatta,et al. Surface roughness prediction based on cutting parameters and tool vibrations in turning operations , 2001 .
[7] A. Galip Ulsoy,et al. A comparison of model-based machining force control approaches , 2004 .
[8] Jose Vicente Abellan-Nebot,et al. A review of machining monitoring systems based on artificial intelligence process models , 2010 .
[9] A. K. Tugengol’d,et al. Smart control system for machine tools , 2009 .
[10] Franc Cus,et al. Modeling and adaptive force control of milling by using artificial techniques , 2012, J. Intell. Manuf..
[11] Erhan Budak,et al. An experimental investigation of chatter effects on tool life , 2009 .
[12] Kok Kiong Tan,et al. Cutting force control of milling machine , 2007 .
[13] Navaratnam Sri Namachchivaya,et al. Spindle Speed Variation for the Suppression of Regenerative Chatter , 2003, J. Nonlinear Sci..
[14] Elena R. Messina,et al. The challenge of intelligent systems , 2000, Proceedings of the 2000 IEEE International Symposium on Intelligent Control. Held jointly with the 8th IEEE Mediterranean Conference on Control and Automation (Cat. No.00CH37147).
[15] Joaquim Ciurana,et al. Surface roughness monitoring application based on artificial neural networks for ball-end milling operations , 2011, J. Intell. Manuf..
[16] Durmus Karayel,et al. Prediction and control of surface roughness in CNC lathe using artificial neural network , 2009 .
[17] Joseph C. Chen,et al. Development of a fuzzy-nets-based surface roughness prediction system in turning operations , 2007, Comput. Ind. Eng..
[18] D. R. Salgado,et al. In-process surface roughness prediction system using cutting vibrations in turning , 2009 .
[19] D. Barrenetxea,et al. Simulation of an active vibration control system in a centerless grinding machine using a reduced updated FE model , 2009 .
[20] Joseph C. Chen,et al. Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations , 2006, Expert Syst. Appl..
[21] Uday S. Dixit,et al. Application of soft computing techniques in machining performance prediction and optimization: a literature review , 2010 .
[22] Joseph C. Chen,et al. The development of an in-process surface roughness adaptive control system in turning operations , 2007, J. Intell. Manuf..
[23] Laurent Geneste,et al. Distributed machining control and monitoring using smart sensors/actuators , 2004, J. Intell. Manuf..