Optimization of aging treatment in lead frame copper alloy by intelligent technique

Materials Letters

Volumn 59, Issue 26, 2005, Pages 3337-3342

  Liu, Ping ^a   Su, Juan Hua ^a,b   Dong, Qi Ming ^a   Li, He Jun ^b  

^a HENAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Cu Cr Sn Zn alloy; Heat treatment; Intelligent technique; Processing optimization

Indexed keywords

COPPER ALLOYS; CORRELATION THEORY; GENETIC ALGORITHMS; HARDNESS; INTELLIGENT CONTROL; LEAD; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION;

AGING TEMPERATURE; AGING TREATMENT; INTELLIGENT TECHNIQUES; LEVENBERG-MARQUARDT TRAINING ALGORITHMS;

AGING OF MATERIALS;

EID: 24144444122     PISSN: 0167577X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matlet.2005.05.069     Document Type: Article

References (17)

1. J.H. Su, Q.M. Dong, and P. Liu Research on the aging precipitation of lead frame Cu-Cr-Sn-Zn alloy Journal of Rare Earths 21 2003 182 184
2. P. Liu, B.X. Kang, and X.G. Cao Aging precipitation and recrystallization of rapidly solidified Cu-Cr-Zr-Mg alloy Materials Science and Engineering A265 1999 262 267
3. H.I. Choi, K.Y. Lee, and S.L. Kwun Fabrication of high conductivity copper alloys by rod milling Journal of Materials Science Letters 16 1997 1600 1602
4. F. Rensei New high-strength and high-conductivity copper alloy EFTEC-64 Journal of the Japan Copper and Brass Research Association 27 1988 109 114
5. I. Naotsugu The precipitation behaviour of Cu-Cr-Sn alloy Journal of the Japan Copper and Brass Research Association 24 1985 225 230
6. Z. Zhang, and K. Friedrich Artificial neural networks applied to polymer composites: a review Composites Science and Technology 63 2003 2029 2044
7. J.P. Wang, and Y.C. Chueh Neural network approach to recognize the grid patterns in experimental mechanics Journal of Materials Processing Technology 140 2003 90 94
8. A. Mccrea, and R. Navon Application of GA in optimal robot selection for bridge restoration Automation in Construction 13 2004 803 819
9. J. Lee, S. Wang, and A. Dikec Topology optimization for the radiation and scattering of sound from thin-body using genetic algorithms Journal of Sound and Vibration 276 2004 899 918
10. A.J. Li, H.J. Li, K.Z. Li, and Z.B. Gu Modeling of CVI process in fabrication of carbon/carbon composites by an artificial neural network Science in China (Series E) 46 2003 173 181
11. L.F. Cao, and M.P. Wang Thermo-mechanical treatment of Cu-17.0Zn-xCr alloy The Chinese Journal of Nonferrous Metals 12 2002 145 150 (in Chinese)
12. J.S. Son, D.M. Lee, I.S. Kim, and S.K. Choi A study on genetic algorithm to select architecture of a optimal neural network in the hot rolling process Journal of Materials Processing Technology 153-154 2004 643 648
13. V. Massimiliano, B. Rushi, and H. Oliver Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks Expert Systems with Applications 27 2004 417 425
14. T. Morimoto, W. Purwanto, and J. Suzuki Optimization of heat treatment for fruit during storage using neural networks and genetic algorithms Computers and Electronics in Agriculture 19 1997 87 101
15. F.G. Cao, and Q.J. Zhang Neural network modelling and parameters optimization of increased explosive electrical discharge grinding (IEEDG) process for large area polycrystalline diamond Journal of Materials Processing Technology 149 2004 106 111
16. P.E. Amiolemhen, and A.O.A. Ibhadode Application of genetic algorithms-determination of the optimal machining parameters in the conversion of a cylindrical bar stock into a continuous finished profile International Journal of Machine Tools & Manufacture 44 2004 1403 1412
17. H.K. Lam, S.H. Ling, F.H.F. Leung, and P.K.S. Tam Function estimation using a neural-fuzzy network and an improved genetic algorithm International Journal of Approximate Reasoning 36 2004 243 260