The investigation on the prediction of tool wear and the determination of optimum cutting conditions in machining 17-4PH stainless steel

Journal of Materials Processing Technology

Volumn 140, Issue 1-3 SPEC., 2003, Pages 340-345

  Chien, Wen Tung ^a   Tsai, Chung Shay ^a  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Model; Optimization; Prediction; Stainless steel; Tool flank wear

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; METAL CUTTING; NEURAL NETWORKS; STAINLESS STEEL; WEAR OF MATERIALS;

TOOL FLANK WEAR;

MACHINING;

EID: 0042911850     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(03)00753-2     Document Type: Conference Paper

References (12)

1. Klim Z., Ennajimi E., Balazinski M., Fortin C. Cutting tool reliability analysis for variable feed milling of 17-4PH stainless steel. Wear. 195:1996;206-213.
2. Lim G.H. Tool-wear monitoring in machine turning. J. Mater. Process. Technol. 51:1995;25-36.
3. J.-H. Lu, The investigation on the predictive model for the roughness and optimized model for parameters based on cutting stainless steel, 2001.
4. Szecsi T. Cutting force modeling using artificial neural networks. J. Mater. Process. Technol. 92-93:1999;344-349.
5. Obikawa T., Kaseda C., Matsumura T., Going W.G., Shirakashi T. Tool wear monitoring for optimizing cutting conditions. J. Mater. Process. Technol. 62:1996;374-379.
6. S. Rajeev, C.S. Krishnamoorthy, Genetic algorithms-based methodologies for design optimization of trusses, J. Struct. Eng. 123 (3) (1997) 350-358.
7. Jenkins W.M. Towards structural optimization via the genetic algorithms. Comput. Struct. 40(5):1991;1321-1327.
8. Ko T.J., Kim H.S. Autonomous cutting parameter regulation using adaptive modeling and genetic algorithms. Precis. Eng. 22:1998;243-251.
9. P.J. Ross, Taguchi Techniques for Quality Engineering, McGraw-Hill, New York, 1996, pp. 1-20.
10. Su Y.L., Yao S.H., Wei C.S., Wu C.T. Analyses and design of a WC milling cutter with TiCN coating. Wear. 215:1998;59-66.
11. Yang S.M., Lee G.S. Neural network design by using Taguchi method. J. Dyn. Syst. Measur. Contr. 121:1999;560-563.
12. W.S. Liu, Optimization of Mechanical Design, 2nd ed., Chun-hwa Book Company, Taipei, 1996.