| contributor author | Li, Peiqing | |
| contributor author | Wang, Kaifa | |
| contributor author | Wang, Baolin | |
| date accessioned | 2025-08-20T09:34:28Z | |
| date available | 2025-08-20T09:34:28Z | |
| date copyright | 5/9/2025 12:00:00 AM | |
| date issued | 2025 | |
| identifier issn | 1942-4302 | |
| identifier other | jmr-24-1510.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4308501 | |
| description abstract | Accurately analyzing the large deformation behaviors of compliant mechanisms has always been a significant challenge in the design process. The classical Euler–Bernoulli beam theory serves as the primary theoretical basis for the large deformation analysis of compliant mechanisms. However, neglecting shear effects may reduce the accuracy of modeling compliant mechanisms. Inspired by the beam constraint model, this study takes a step further to develop a Timoshenko beam constraint model (TBCM) for initially curved beams to capture intermediate-range deflections under beam-end loading conditions. On this basis, the chained Timoshenko beam constraint model (CTBCM) is proposed for large deformation analysis and kinetostatic modeling of compliant mechanisms. The accuracy and feasibility of the proposed TBCM and CTBCM have been validated through modeling and analysis of curved beam mechanisms. Results indicate that TBCM and CTBCM are more accurate compared to the Euler beam constraint model (EBCM) and the chained Euler beam constraint model (CEBCM). Additionally, CTBCM has been found to offer computational advantages, as it requires fewer discrete elements to achieve convergence. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Chained Timoshenko Beam Constraint Model With Applications in Large Deflection Analysis of Compliant Mechanism | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 10 | |
| journal title | Journal of Mechanisms and Robotics | |
| identifier doi | 10.1115/1.4068557 | |
| journal fristpage | 101001-1 | |
| journal lastpage | 101001-13 | |
| page | 13 | |
| tree | Journal of Mechanisms and Robotics:;2025:;volume( 017 ):;issue: 010 | |
| contenttype | Fulltext | |