An important feature of any intelligent knowledge-based system (IKBS) for the design of forging dies is the ability to compare new components with those previously encountered by the system. In order to accomplish this, it is necessary to identify the parameters that significantly influence the success or otherwise of the forging and the weighting effect of these parameters. An experimental method has been developed to obtain the weighting effects of different process and geometrical parameters in completely closed-die forging. The results have been implemented in the IKBS and are shown to be capable of assessing the suitability of proposed forging die sequences.
YuG. B.DeanT. A.A CAD/CAM package for axisymmetric forging dies. Twenty-fifth MTDR Conference, 1985, pp. 459–464.
2.
NateghM. J.Bakhshi-JooybariM.A forging design program featuring the essentials of a computer integrated engineering system for forging industries. Proceedings of Fourth International Conference on Technology of plasticity, Beijing, 1993, pp. 1287–1292.
3.
RoweG. W.SturgessC. E. N.HartleyP.PillingerI.Finite element plasticity and metal forming analysis, 1991 (Cambridge University Press).
4.
KobayashiS.OhS. I.AltanT.Metal forming and the finite element method, 1989 (Oxford University Press).
5.
SevenlerK.Product and forming sequence design for cold forging. In Artificial intelligence in engineering design (Eds TangC.SriramD.), Vol. Ill, 1992 (Academic Press, New York).
6.
OsakadaK.YangG. B.Expert system for cold forging. Proceedings of Fourth International Conference on Technology of plasticity, Beijing, 1993, pp. 1088–1095.
7.
HartleyP.SturgessC. E. N.DeanT. A.RoweG. W.EamesA. J.Development of a forging expert system. In Expert systems in engineering (Ed. PhamD. T.), 1988, pp. 425–443 (IFS, Springer-Verlag, Berlin).
8.
GoklerM. I.Computer aided sequence and die design for hot upset forging. PhD thesis, University of Birmingham, 1983.
9.
PillingerI.The prediction of metal flow and properties in three-dimensional forgings using the finite-element method. PhD thesis, University of Birmingham, 1984.
10.
PillingerI.HartleyP.SturgessC. E. N.DeanT. A.An intelligent knowledge-based system for the design of forging dies. In Artificial intelligence in design (Ed. PhamD. T.), 1989 (IFS, Bedford).
11.
Bakhshi-JooybariM.PillingerI.DeanT. A.Development of an intelligent knowledge-based system for forging die design. Proceedings of Fifth International Conference on Metal forming (Eds HartleyP.), University of Birmingham, 1994, pp. 689–694.
12.
SimsP.Computer-aided sequence and die design for precision forging. PhD thesis, University of Birmingham, 1988.
13.
DeanT. A.SturgessC. E. N.Warm forging practice. J. Mech. Work. Technol., 1978, 2, 255–265.
14.
Bakhshi-JooybariM.Development of an intelligent knowledge-based system for forging die design. PhD thesis, University of Birmingham, 1995.
15.
SinghA.DeanT. A.DaviesR.The effects of temperature and speed on the warm extrusion of steel. Thirteenth MTDR Conference, 1972, pp. 351–355.
16.
IbhadodeA. O. K.The filling of flashless forging die cavities. PhD thesis, University of Birmingham, 1987.
