| contributor author | Leal-Muñoz, E. | |
| contributor author | Diez, E. | |
| contributor author | Perez, H. | |
| contributor author | Vizan, A. | |
| date accessioned | 2019-02-28T11:02:29Z | |
| date available | 2019-02-28T11:02:29Z | |
| date copyright | 5/21/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 1087-1357 | |
| identifier other | manu_140_08_084502.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4252007 | |
| description abstract | The evolution of the manufacturing industry has favored the use of new technologies that increase the level of autonomy in production systems. The work presented shows a methodology that allows for online estimation of cutting parameters based on the analysis of the cutting force signal pattern. The dynamic response of the tool is taken into account through a function that relates the response time to the input variables in the process. The force signal is obtained with a dynamometric platform based on piezoelectric sensors. The final section of the paper shows the experimental validation where machining tests with variable machining conditions were carried out. The results reveal high precision in the estimation of depths of cut in end milling. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Identification of the Actual Process Parameters for Finishing Operations in Peripheral Milling | |
| type | Journal Paper | |
| journal volume | 140 | |
| journal issue | 8 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.4039917 | |
| journal fristpage | 84502 | |
| journal lastpage | 084502-7 | |
| tree | Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 008 | |
| contenttype | Fulltext | |
