| dc.contributor.author | Verstraete, Tom | |
| dc.date.accessioned | 2019-09-18T09:05:01Z | |
| dc.date.available | 2019-09-18T09:05:01Z | |
| dc.date.copyright | 3/1/2019 12:00:00 AM | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 0025-6501 | |
| dc.identifier.other | me-2019-mar7.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4258656 | |
| dc.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? | |
| dc.publisher | American Society of Mechanical Engineers (ASME) | |
| dc.title | Toward Gradient-Based Optimization of Full Gas Turbines | |
| dc.type | Journal Paper | |
| dc.journal.volume | 141 | |
| dc.journal.issue | 3 | |
| dc.journal.title | Mechanical Engineering Magazine Select Articles | |
| dc.identifier.doi | 10.1115/1.2019-MAR-7 | |
| dc.journal.fristpage | 54 | |
| dc.journal.lastpage | 55 | |
| dc.tree | Mechanical Engineering Magazine Select Articles:;2019:;volume( 141 ):;issue: 003 | |
| dc.contenttype | Fulltext | |
