| contributor author | Guoxian Xiao | |
| contributor author | Stephen Malkin | |
| contributor author | Kourosh Danai | |
| date accessioned | 2017-05-08T23:40:49Z | |
| date available | 2017-05-08T23:40:49Z | |
| date copyright | December, 1993 | |
| date issued | 1993 | |
| identifier issn | 0022-0434 | |
| identifier other | JDSMAA-26200#667_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/111622 | |
| description abstract | An optimization strategy is presented for cylindrical plunge grinding operations. The optimization strategy is designed to minimize cycle time while satisfying production constraints. Monotonicity analysis together with local linearization are used to simplify the non-linear optimization problem and determine the process variables for the optimal cycle. At the end of each cycle, the uncertain parameters of the process are estimated from sensory data so as to provide a more accurate estimation of the optimal process variables for the subsequent cycle. The optimization strategy is validated both in simulation and for actual grinding tests. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Autonomous System for Multistage Cylindrical Grinding | |
| type | Journal Paper | |
| journal volume | 115 | |
| journal issue | 4 | |
| journal title | Journal of Dynamic Systems, Measurement, and Control | |
| identifier doi | 10.1115/1.2899194 | |
| journal fristpage | 667 | |
| journal lastpage | 672 | |
| identifier eissn | 1528-9028 | |
| keywords | Grinding | |
| keywords | Optimization | |
| keywords | Cycles AND Simulation | |
| tree | Journal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 004 | |
| contenttype | Fulltext | |