| contributor author | E. N. Diei | |
| contributor author | D. A. Dornfeld | |
| date accessioned | 2017-05-08T23:25:07Z | |
| date available | 2017-05-08T23:25:07Z | |
| date copyright | August, 1987 | |
| date issued | 1987 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27725#234_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/102669 | |
| description abstract | Acoustic Emission (AE) signal analysis was applied to on-line sensing of tool wear in face milling. Cutting tests were conducted on a vertical milling machine. AE signals, feed and normal components of cutting force and flank wear were measured and compared. A signal processing scheme for intermittent cutting forces and AE signals, based on the concept of time domain averaging (TDA) is proposed. The results indicate that both AE and cutting forces have parameters that correlate closely with flank wear. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Acoustic Emission Sensing of Tool Wear in Face Milling | |
| type | Journal Paper | |
| journal volume | 109 | |
| journal issue | 3 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.3187124 | |
| journal fristpage | 234 | |
| journal lastpage | 240 | |
| identifier eissn | 1528-8935 | |
| keywords | Wear | |
| keywords | Acoustic emissions | |
| keywords | Milling | |
| keywords | Cutting | |
| keywords | Force | |
| keywords | Signals | |
| keywords | Milling machines AND Signal processing | |
| tree | Journal of Manufacturing Science and Engineering:;1987:;volume( 109 ):;issue: 003 | |
| contenttype | Fulltext | |
