| contributor author | Franchi, Rodolfo;Rotella, Giovanna;Del Prete, Antonio | |
| date accessioned | 2022-12-27T23:16:46Z | |
| date available | 2022-12-27T23:16:46Z | |
| date copyright | 8/25/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 1087-1357 | |
| identifier other | manu_144_12_121008.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4288278 | |
| description abstract | Wear mechanisms taking place during machining strongly affect the overall process reliability, product quality, and production costs. It is necessary to have useful monitoring techniques for monitoring the wear trend during the process and to identify wearing phenomena occurring during the evolution of the process. In order to get a reliable tool, it is necessary to identify and distinguish the contributing factors and wear mechanisms happening during machining. In this paper, an acoustic emission sensor has been used to identify characteristic features pertaining different wear mechanism displayed during turning of waspaloy. The methodology used to distinguish the contributing elements was developed coupling turning tests with corresponding tribological experiments so that clear evidences on different contributions were identified showing a useful tool for industrial and research applications. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Tool Wear Characterization in Turning of a Nickel Superalloy Through Customized Pin-On-Disk Tests and Acoustic Emission Signals Analysis | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 12 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.4054992 | |
| journal fristpage | 121008 | |
| journal lastpage | 121008_10 | |
| page | 10 | |
| tree | Journal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 012 | |
| contenttype | Fulltext | |
