Topology Optimization of Compliant Grippers Based on Stress ConstraintsSource: Journal of Mechanisms and Robotics:;2024:;volume( 017 ):;issue: 006::page 61001-1DOI: 10.1115/1.4067021Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a topology optimization method of compliant grippers considering stress constraints. The proportional topology optimization (PTO) algorithm is applied to the design of compliant grippers, and it is improved by introducing weight factors into the objective function and adding stress conditions on the basis of constraints. In the current gradient modeling of topology optimization, the global maximum stress is measured by P-norm function, and its sensitivity analysis of stress constraints is derived by adjoint equations. It is worth noting that more rigorous gradient calculations are employed in stress problems and their computation brings an additional computational burden. By contrast, the non-gradient method using PTO algorithm allocates design variables to the element proportionally according to the values of stress. It can eliminate difficulties in the analytical derivation and calculation of gradient, and improve the calculation efficiency. Subsequently, performances of compliant grippers generated by these two methods are compared through finite element analysis. Finally, the optimized compliant gripper prototype is manufactured by three-dimensional (3D) printing using flexible thermoplastic urethane. Experimental results indicate that the non-gradient method is effective, and the optimized compliant gripper has excellent characteristics of low stress and high output performance.
|
Collections
Show full item record
| contributor author | Du, Yunsong | |
| contributor author | Zhang, Pengwei | |
| contributor author | Li, Tiemin | |
| date accessioned | 2025-08-20T09:34:00Z | |
| date available | 2025-08-20T09:34:00Z | |
| date copyright | 11/22/2024 12:00:00 AM | |
| date issued | 2024 | |
| identifier issn | 1942-4302 | |
| identifier other | jmr_17_6_061001.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4308489 | |
| description abstract | This paper presents a topology optimization method of compliant grippers considering stress constraints. The proportional topology optimization (PTO) algorithm is applied to the design of compliant grippers, and it is improved by introducing weight factors into the objective function and adding stress conditions on the basis of constraints. In the current gradient modeling of topology optimization, the global maximum stress is measured by P-norm function, and its sensitivity analysis of stress constraints is derived by adjoint equations. It is worth noting that more rigorous gradient calculations are employed in stress problems and their computation brings an additional computational burden. By contrast, the non-gradient method using PTO algorithm allocates design variables to the element proportionally according to the values of stress. It can eliminate difficulties in the analytical derivation and calculation of gradient, and improve the calculation efficiency. Subsequently, performances of compliant grippers generated by these two methods are compared through finite element analysis. Finally, the optimized compliant gripper prototype is manufactured by three-dimensional (3D) printing using flexible thermoplastic urethane. Experimental results indicate that the non-gradient method is effective, and the optimized compliant gripper has excellent characteristics of low stress and high output performance. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Topology Optimization of Compliant Grippers Based on Stress Constraints | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 6 | |
| journal title | Journal of Mechanisms and Robotics | |
| identifier doi | 10.1115/1.4067021 | |
| journal fristpage | 61001-1 | |
| journal lastpage | 61001-14 | |
| page | 14 | |
| tree | Journal of Mechanisms and Robotics:;2024:;volume( 017 ):;issue: 006 | |
| contenttype | Fulltext |