| contributor author | Matthew Doolan | |
| contributor author | Peter Hodgson | |
| contributor author | Shankar Kalyanasundaram | |
| contributor author | Michael Cardew-Hall | |
| date accessioned | 2017-05-09T00:10:46Z | |
| date available | 2017-05-09T00:10:46Z | |
| date copyright | May, 2003 | |
| date issued | 2003 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27682#363_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/128737 | |
| description abstract | A new method of metal stamping force signature analysis is presented, based on the image recognition technique Point Distribution Models (PDMs). The approach is shown to be an effective method for analyzing force signatures, able to identify not only the occurrence of part failures, but also changes in lubrication, material and process settings. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Use of Image Recognition Techniques in the Analysis of Sheet Metal Forming Force Signature Curves | |
| type | Journal Paper | |
| journal volume | 125 | |
| journal issue | 2 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.1559164 | |
| journal fristpage | 363 | |
| journal lastpage | 368 | |
| identifier eissn | 1528-8935 | |
| keywords | Failure | |
| keywords | Metal stamping | |
| keywords | Pulse width modulation | |
| keywords | Force | |
| keywords | Sheet metal work AND Shapes | |
| tree | Journal of Manufacturing Science and Engineering:;2003:;volume( 125 ):;issue: 002 | |
| contenttype | Fulltext | |
