Partners in Design
| dc.contributor.author | Sukel, Kayt | |
| dc.date.accessioned | 2022-02-05T21:48:55Z | |
| dc.date.available | 2022-02-05T21:48:55Z | |
| dc.date.copyright | 3/3/2021 12:00:00 AM | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 0025-6501 | |
| dc.identifier.other | me-2021-mar2.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4276393 | |
| dc.description.abstract | New artificial intelligence and machine learning applications are found in many popular CAD platforms today and will be even more capable in the near future. As AI/ML solutions become more pervasive in different areas of the mechanical engineering arena, many design engineers are asking how these new tools will change the engineering profession. | |
| dc.publisher | The American Society of Mechanical Engineers (ASME) | |
| dc.title | Partners in Design | |
| dc.type | Journal Paper | |
| dc.journal.volume | 143 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Mechanical Engineering | |
| dc.identifier.doi | 10.1115/1.2021-MAR2 | |
| dc.journal.fristpage | 34 | |
| dc.journal.lastpage | 34-6 | |
| dc.page | 6 | |
| dc.tree | Mechanical Engineering:;2021:;volume( 143 ):;issue: 002 | |
| dc.contenttype | Fulltext |