Impact of the tool material and the cutting parameters on surface roughness of supermet 718 nickel superalloy

Journal of Materials Processing Technology

Volumn 97, Issue 1-3, 2000, Pages 10-18

  Darwish, S M ^a  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

CERAMIC CUTTING TOOLS; CUBIC BORON NITRIDE; SUPERALLOYS; SURFACE ROUGHNESS;

DRY CUTTING;

NICKEL ALLOYS;

EID: 0033900772     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(99)00365-9     Document Type: Article

References (21)

1. Shaw M.C., Vyas A. Chip formation in the machining of hardened steel. Annals of CIRP. 42:1993;29-33.
2. Narutaki N., Yamne Y. High speed machining of Inconel 718 with ceramic tools. Annals of CIRP. 42:1993;100-105.
3. Hodgson T., Trendler P. Turning hardened tool steel with cubic boron nitride. Annals of CIRP. 30:1981;63.
4. O. Alfred, Schmidt, Tools and engineering materials with hard, wear-resistant infusions, ASME J. Eng. Indust. (1969) 549-552.
5. Vigneau J., Boulanger J. Behavior of ceramic tools during the machining of nickel-base alloys. Annals of CIRP. 31:1982;35-39.
6. Cogun C. Computer-aided preliminary selection of non-traditional machining processes. Int. J. Mach. Tools Manufact. 34(3):1994;315-326.
7. Koning et al., Machining of hard materials, Annals of CIRP 32 (2) (1984) 417-427.
8. E.H. Daniel, Now: "Turn hardened steel and tough superalloys as easily as mild steels", Machining of Hard Materials, ASM (1982).
9. Show M.C., Nakayama K. The machining of high strength materials. Annals of CIRP. 15(1):1967;45-59.
10. M.M. Farag, Selection of Materials and Manufacturing Processes for Engineering Design, Prentice Hall, Englewood Cliffs, NJ, 1989.
11. Gatto A., Luliano L. Chip formation analysis in the high speed machining of a nickel superalloy with silicon carbide whisker reinforced alumina. Int. J. Mach. Tools Manufact. 34(8):1996;1147-1161.
12. El-Wardany T.I., Mohammed E., El Bastawi M.A. Cutting temperature of ceramic tools in high speed machining of difficult-to-cut materials. Int. J. Mach. Tools Manufact. 36(5):1996;611-634.
13. A. Mital, M. Mehta, Surface finish prediction models for fine turning, Int. J. Prod. Res. (1988).
14. Janc D.Y., Choi Y., Kim H., Hsiao A. Study of the correlation between surface roughness and cutting vibrations to develop on-line measuring technique in hard turning. Int. J. Mach. Tools Manufact. 36(5):1996;453-464.
15. Coher S.A., Shin Y.C. In-process control of surface roughness due to tool wear using a new ultrasonic system. Int. J. Mach. Tools Manufact. 36(3):1996;411-422.
16. Sodahi M.S., Tiliouine K. Surface roughness monitoring using computer vision. Int. J. Mach. Tools Manufact. 36(7):1996;817-828.
17. D.M. Ronald, W. Thomas, P.P. Lloyd, Improving Quality Through Planned Experimentation, McGraw-Hill, New York, 1991.
18. Wilson C.L. Production of a new chemical: A designed experiment. Indust. Eng. Chem. 52:1960;504-506.
19. Sheldon F.R. Statistical techniques applied to production situations. Indust. Eng. Chem. 52(4):1960;507-509.
20. Box G., Behnken D. Some new three level designs for the study of quantitative variables. Technometrics. 2(4):1960;455-457.
21. Box G., Wilson K. On the experimental attainment of optimum conditions. J.R. Stat. Soc. 13:1951;45.