Optimization of cutting conditions during cutting by using neural networks

Robotics and Computer-Integrated Manufacturing

Volumn 19, Issue 1-2, 2003, Pages 189-199

  Zuperl, Uros ^a   Cus, Franci ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Cutting parameter optimization; Machining; Neural networks

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; COMPUTER SIMULATION; COST EFFECTIVENESS; LINEAR PROGRAMMING; MACHINING; NEURAL NETWORKS; PRODUCTIVITY; REGRESSION ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); SURFACE ROUGHNESS; WEAR OF MATERIALS;

CUTTING PARAMETER OPTIMIZATION;

CUTTING;

EID: 0037328671     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0736-5845(02)00079-0     Document Type: Conference Paper

References (14)

1. Phillips D.T., Beightler C.S. Optimization in tool engineering using geometric programming. AIIE Trans. 2:1970;355-360.
2. Philipson R.H., Ravindram A. Application of mathematical programming to metal cutting. Math Program Stud. 11:1979;116-134.
3. Hayes G.M., Davis R.P. A discrete variable approach to machine parameter optimization. IIE Trans. 11:1979;155-159.
4. Ghiassi M.R., DeVor E., Dessouky M.I., Kijowski B.A. An application of multiple criteria decision making principle for planning machining operations. IIE Trans. 16:1984;106-114.
5. Nguyen D., Widrow B. Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. Proc Int Jt Conf Neural Networks. 3:1990;21-26.
6. Malakooti B., Wang J., Tandler E.C. A sensor-based accelerated approach for multi-attribute machinability and tool life evaluation. Int J Prod Res. 28:1990;2373-2392.
7. Liu Y., Wang C. Neural network based adaptive control and optimisation in the milling process. Int J Adv Manuf Technol. 15:1999;791-795.
8. Karri V. Performance in oblique cutting using conventional methods and neural networks. Neural Comput Appl. 8:1999;196-205.
9. Nian C.Y., Yang W.H., Tarng Y.S. Optimization of turning operations with multiple performance characteristics. J Mater Process Technol. 95:1999;90-96.
10. Cus F., Balic J. Selection of cutting conditions and tool flow in flexible manufacturing system. Int J Manuf Sci Technol. 2:2000;101-106.
11. Li X., Dong S., Venuvinod P.K. Hybrid learning for tool wear monitoring. Int J Adv Manuf Technol. 16:2000;303-307.
12. Milfelner M, Cus F. System for simulation of cutting process. International Scientific Conference on the Occasion of the 50th Anniversary of Founding the Faculty of Mechanical Engineering Ostrava, 2000. p. 349-52.
13. Lee B.Y., Tarng Y.S. Cutting-parameter selection for maximizing production rate or minimizing production cost in multistage turning operations. J Mater Process Technol. 105(7):2000;61-66.
14. Mursec B., Cus F., Balic J. Organization of tool supply and determination of cutting conditions. J Mater Process Technol. 100:2000;241-249.