| contributor author | Shi, Da-Ming | |
| contributor author | Huang, Tao | |
| contributor author | Zhang, Xiao-Ming | |
| contributor author | Ding, Han | |
| date accessioned | 2022-05-08T08:22:50Z | |
| date available | 2022-05-08T08:22:50Z | |
| date copyright | 2/16/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 1087-1357 | |
| identifier other | manu_144_8_081005.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4283855 | |
| description abstract | Cutting force-induced vibrations in thin-walled parts milling may cause violation of dimensional tolerance while accurate modeling of the milling error distribution is still a challenging work because of the coupling effect between the dynamic cutting forces and the resulting steady-state vibrations. It greatly increases the computational complexity to capture the true cutter–workpiece engagement with classic time domain or iteration method. This paper proposes a novel explicit model to predict the error distribution considering this coupling relationship without iterative calculation. A new cutting force model with variable coefficients with respect to the deflections is developed to describe the dynamic cutting forces. The effectiveness of the force model is verified by a group of calibration experiments. The analytical solution of the dynamic model is discussed and a semi-analytical method is constructed to predict the error distribution directly. Machined surface as well as the deformation errors are derived and thin-walled workpiece milling experiments for verification are conducted. Comparisons between simulations and experiments show that the proposed method is accurate and efficient. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | An Explicit Coupling Model for Accurate Prediction of Force-Induced Deflection in Thin-Walled Workpiece Milling | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 8 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.4053682 | |
| journal fristpage | 81005-1 | |
| journal lastpage | 81005-13 | |
| page | 13 | |
| tree | Journal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 008 | |
| contenttype | Fulltext | |