Development of energy-saving optimization for the oval-edging oval pass design using genetic algorithm

International Journal of Advanced Manufacturing Technology

Volumn 61, Issue 5-8, 2012, Pages 423-429

  Huang, Bin ^a   Xing, Ke ^a   Abhary, Kazem ^a   Spuzic, Sead ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Data fitting; Energy saving optimization; Genetic algorithm; Oval edging oval pass; Rod rolling; Statistical analysis

Indexed keywords

DATA FITTINGS; DESIGN EFFICIENCY; DESIGN SYSTEMS; DIFFERENT SIZES; EXPERIMENTAL DATA; GEOMETRICAL MODELING; MULTI-PASS; OPTIMAL DESIGN; OVAL-EDGING OVAL PASS; PARAMETRIC TRANSFORMATION; ROD ROLLING; ROLL PASS DESIGN;

DATA HANDLING; DESIGN; EFFICIENCY; ENERGY CONSERVATION; OPTIMAL SYSTEMS; OPTIMIZATION; STATISTICAL METHODS;

GENETIC ALGORITHMS;

EID: 84864548587     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3743-2     Document Type: Article

References (20)

1. Huang B, Xing K, Abhary K, Spuzic S (2011) Investigation of roll >pass optimal design based on IGA. J Adv Mater Res 211-212:195-199
2. Beynon RE (1956) Roll design and mill layout. Association of Iron & Steel Engineers, Pittsburgh
3. Huang B, Xing K, Spuzic S and Abhary K (2010) "Development of parameterized roll pass design based on a hybrid model", The 2010 International Conference on Mechanical and Electrical Technology 91-93
4. Myllykoski P, Larkiola J, Korhonen AS, Cser L (1998) The role of neural networks in the optimisation of rolling processes. J Mater Process Technol 80:16-23
5. Tiwari A, Oduguwa V, Roy R (2008) Rolling system design using evolutionary sequential process optimization. IEEE Trans Evol Comput 12(2):196-202
6. Carreón CAH, Huacuja HJF, Fernandez KE, Valdez GC, Mancilla Tolama JE (2008) Optimization of strip hot rolling scheduling using a genetic algorithm. Res Comput Sci 34:69-78
7. Ikeda O, Ona H, Hoshi K (2008) "Estimation of number of roll pass in roll forming using neural network", Proceedings of the 27th IASTED International Conference on Modeling, Identification, and Control, pp. 474-479
8. Lambiase F, Langella A (2009) Automated procedure for roll pass design. J Mater Eng Perform 18(3):263-272
9. Byon SM, Park HS, Lee Y (2008) Experimental study for roll gap due to roll wear in single-stand rolling and multi-stand rolling test. J Mech Sci Technol 22(5):937-945
10. Abhary K, Chan FTS, Luong LHS (1997) "A more accurate approach to mechanics of cold rolling", Proceedings of the 32nd International MATADOR Conference, pp. 367-372
11. Perotti G, Kapai N (1990) Roll pass design for round bars. CIRP Ann Manuf Technol 39:283-286
12. Iankov R (2003) Finite element simulation of profile rolling of wire. J Mater Process Technol 142(2):355-361
13. Yildiz AR (2009) A novel particle swarm optimization approach for product design and manufacturing. Int J Adv Manuf Technol 40(5-6):617-628
14. Kim SH, Im YT (1999) A knowledge-based expert system for roll pass and profile design for shape rolling of round and square bars. J Mater Process Technol 89:145-151
15. Kwon HC, Im YT (2002) Interactive computer-aided-design system for roll pass and profile design in bar rolling. J Mater Process Technol 123:399-405
16. Djadechko VN "Roll pass design", Training Programme in the Iron and Steel Industry for UN Fellowship Holders at Zaporozhstel Steel Works
17. Haupt RL, Haupt SE (2004) Practical genetic algorithms, 2nd edn. Wiley, New Jersey
18. Minutolo FC, Durante M, Lambiase F, Langella A (2006) Dimensional analysis of a new type of groove for steel rebar rolling. J Mater Process Technol 175(1-3):69-76
19. Liu XH, Hu XL, Du LX (2007) Zha Zhi Can Shu Ji Suan Mo Xing Ji Qi Ying Yong. Chemical Industry Press, Beijing
20. Kalpakjian S, Schmid SR (2003) Manufacturing processes for engineering materials, 5th edn. Pearson, New Jersey