[1]
I.S. Jawahir, A.K. Balaji, K.E. Rouch and J.R. Baker Towards integration of hybrid models for optimized machining performance in intelligent manufacturing systems. Journal of Materials Processing Technology (4(1-3), 2003), pp.488-498.
DOI: 10.1016/s0924-0136(03)00525-9
Google Scholar
[2]
P. Bosetti and F. Biral. Application of Optimal Control Theory to Milling Process. IECON'2014 The 40th Annual Conference of the IEEE Industrial Electronics Society October 29 - November 1, 2014, Dallas, TX - USA.
DOI: 10.1109/iecon.2014.7049243
Google Scholar
[3]
P. Bosetti and C. M. G. Bort. A framework for in-line milling process optimisation. In: Proceedings of ASME 2013 International Mechanical Engineering Congress and Exposition MECE 2013 November 15-21, 2013, San Diego, CA, USA.
DOI: 10.1115/imece2013-62240
Google Scholar
[4]
P. Bosetti, M. Leonesio, P. Parenti On development of an optimal control system for real-time process optimization on milling machine tools. CIRP ICME (2012).
DOI: 10.1016/j.procir.2013.09.007
Google Scholar
[5]
P. G. Benardos and G. C Vosniakos. Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments. In: Robotics and Computer-Integrated Manufacturing 18. 56 (2002), pp.343-354.
DOI: 10.1016/s0736-5845(02)00005-4
Google Scholar
[6]
Shi Hyoung Ryu, Deok Ki Choi, and Chong Nam Chu. Roughness and texture generation on end milled surfaces. In: International Journal of Machine Tools and Manufacture 46. 3 (2006), pp.404-412.
DOI: 10.1016/j.ijmachtools.2005.05.010
Google Scholar
[7]
Jenq-Shyong By Chen, Yung-Kuo Huang, and Mao- Son Chen. feed rate optimization and tool profile modification for the high-efficiency ball-end milling process. In: International Journal of Machine Tools and Manufacture 45. 9 (2005), pp.1070-1076.
DOI: 10.1016/j.ijmachtools.2004.11.020
Google Scholar
[8]
Ahmed A.A. Duroobi et al. Pick-Interval Scallop Height Estimation Using Three Types of Geometrical end Mill Cutters on CNC Milling Machine. In: Eng. and Tech. Journal 31. 8 (2013), pp.1580-1600.
Google Scholar
[9]
Ahmet Can and Ali UnUvar. A novel iso-scallop tool-path generation for efficient five-axis machining of free-form surfaces. In: The International Journal of Advanced Manufacturing Technology 51 (2010), pp.1083-1098.
DOI: 10.1007/s00170-010-2698-z
Google Scholar
[10]
Jenq-Shyong By Chen, Yung-Kuo Huang, and Mao- Son Chen. feed rate optimization and tool profile modification for the high-efficiency ball-end milling process. In: International Journal of Machine Tools and Manufacture 45. 9 (2005), pp.1070-1076.
DOI: 10.1016/j.ijmachtools.2004.11.020
Google Scholar
[11]
B.H. Kim and C.N. Chu. Texture prediction of milled surfaces using texture superposition method. In: Computer-Aided Design 8 (Nov. 4, 2003), pp.485-494.
DOI: 10.1016/s0010-4485(99)00045-7
Google Scholar
[12]
M.J. Mahjoob Dr S. Bedi F. Ismail and Y. Chen. Toroidal versus ball nose and flat bottom end mills. In: The International Journal of Advanced Manufacturing Technology 13. 5 (1997), pp.326-332.
DOI: 10.1007/bf01178252
Google Scholar
[13]
Carlos Maximiliano Giorgio Bort. On application of optimal control to intelligent manufacturing. PhD thesis. Via Sommarive , 5 I-38123 Povo2 (TN): Doctorate School in Mechanical Engineering, Dec. (2013).
Google Scholar