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- Title
Process optimization of rolling for zincked sheet technology using response surface methodology and genetic algorithm.
- Authors
Ji, Liang-Bo; Chen, Fang
- Abstract
Numerical simulation and intelligent optimization technology were adopted for rolling and extrusion of zincked sheet. By response surface methodology (RSM), genetic algorithm (GA) and data processing technology, an efficient optimization of process parameters for rolling of zincked sheet was investigated. The influence trend of roller gap, rolling speed and friction factor effects on reduction rate and plate shortening rate were analyzed firstly. Then a predictive response surface model for comprehensive quality index of part was created using RSM. Simulated and predicted values were compared. Through genetic algorithm method, the optimal process parameters for the forming of rolling were solved. They were verified and the optimum process parameters of rolling were obtained. It is feasible and effective.
- Subjects
ROLLING (Metalwork); SHEET metal work; GENETIC algorithms; MATHEMATICAL models of strains &; stresses; ROLL forming (Metalwork); MATHEMATICAL models
- Publication
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2017, Vol 31, Issue 16-19, p-1
- ISSN
0217-9792
- Publication type
Article
- DOI
10.1142/S0217979217440179