| contributor author | Su-Hai Hsiang | |
| contributor author | Sheng-Li Lin | |
| date accessioned | 2017-05-09T00:24:52Z | |
| date available | 2017-05-09T00:24:52Z | |
| date copyright | February, 2007 | |
| date issued | 2007 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27964#77_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/136358 | |
| description abstract | In practice of caliber rolling, it is highly desirable to obtain optimal processing parameters to achieve the best quality in a short time. A sophisticated and faster simulation model of caliber rolling is proposed, and then a global optimal searching method—simulated annealing algorithm (SA)—is applied to find the optimal processing parameters of caliber rolling. The simulation model of caliber rolling in this paper was established by the back-propagation neural network (BPNN) model, which replaces the complex numerical analytical model, proposed in an earlier paper. This replacement improved the speed of simulation significantly. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Modeling and Optimization of Caliber Rolling Process | |
| type | Journal Paper | |
| journal volume | 129 | |
| journal issue | 1 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.2280587 | |
| journal fristpage | 77 | |
| journal lastpage | 83 | |
| identifier eissn | 1528-8935 | |
| keywords | Stress | |
| keywords | Modeling | |
| keywords | Optimization | |
| keywords | Algorithms | |
| keywords | Artificial neural networks | |
| keywords | Deformation | |
| keywords | Flow (Dynamics) | |
| keywords | Simulation AND Simulated annealing | |
| tree | Journal of Manufacturing Science and Engineering:;2007:;volume( 129 ):;issue: 001 | |
| contenttype | Fulltext | |