| contributor author | Verstraete, Tom | |
| date accessioned | 2019-06-08T09:28:54Z | |
| date available | 2019-06-08T09:28:54Z | |
| date copyright | 3/1/2019 12:00:00 AM | |
| date issued | 2019 | |
| identifier issn | 0025-6501 | |
| identifier other | me-2019-mar7.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4257629 | |
| description abstract | The design of a full gas turbine is a painstaking process, with many interactions between different physics, components, and engineers. Not surprisingly, this is an effort spanning over many years before a compromise can be found that satisfies all involved engineering disciplines. But can the design cycle not be shortened in this modern age, dominated by increasing computational power and emerging artificial intelligence? | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Toward Gradient-Based Optimization of Full Gas Turbines | |
| type | Journal Paper | |
| journal volume | 141 | |
| journal issue | 3 | |
| journal title | Mechanical Engineering Magazine Select Articles | |
| identifier doi | 10.1115/1.2019-MAR-7 | |
| journal fristpage | 54 | |
| journal lastpage | 55 | |
| tree | Mechanical Engineering Magazine Select Articles:;2019:;volume( 141 ):;issue: 003 | |
| contenttype | Fulltext | |
