In the structural design of serial robots, topology and dimensional parameters design are independent, making it challenging to achieve synchronous optimization design between the two. To address this issue, a topology-and-dimension-parameter integrated optimization method (TPOM) is proposed by setting critical variables to connect topology layout and dimensional features. Firstly, the topology layout is extracted by the edge detection technique. Structural manufacturability reconstruction is conducted by measuring the dimensions of the layout through a program. Additionally, for the reconstructed structural layout, critical variables are set using three-dimensional software (SOLIDWORKS2021). The experiments primarily involve critical variables, quality, and deformation as variables. Then, the response surface methodology is selected to construct the stiffness–mass metamodel, and based on this, the structural deformation is analyzed. Lastly, the multi-objective genetic algorithm (MOGA) is employed to optimize the critical variables, and an optimized structure is established for validation. The results indicate that the proposed method (TPOM) reduces the mass of the structure by 15% while maintaining its stiffness. In addition, the deformation of the whole structure is less than 0.352 mm, which meets the requirements of industrial applications. Through quantitative analysis of the experimental results, the feasibility and superiority of the proposed method have been demonstrated.

This study proposes a novel approach to optimize the structure of the hinge beam in cubic presses, aiming to enhance the safety and reduce costs. The finite element method is used to analyze the stress distribution of the hinge beam under operating conditions, revealing a significant stress concentration at the oil inlet edge. To optimize the structure, the Taguchi method, the NSGA-II multi-objective optimization algorithm, and the entropy-TOPSIS method are combined to consider both the maximum stress and total weight. The results demonstrate a reduction of 199.121 kg and 11.97 MPa in the total weight and maximum stress of the hinge beam, respectively, representing a decrease of 4.12% and 1.72%. Furthermore, the simulation results of the optimal structure demonstrate a high degree of accuracy, with only 0.27% difference between the algorithm-optimized and simulation values. The proposed optimization method not only improves the efficiency of the optimization, but also avoids the mutual exclusion between the maximum stress and total weight. It significantly improves the reliability of the hinge beam and reduces its manufacturing costs, thereby shortening the development cycle of the new hinge beam.

In this paper, the model of information exchange system was promoted. With Miner’s linear cumulative damage theory and life prediction method, the fatigue strength of Hinge Sleeve of Cubic was calculated and simulated by ANSYS. Firstly, the model of Hinge Sleeve of Cubic is established, and the stress of the Hinge Sleeve of Cubic is calculated. Then the fatigue strength of Hinge Sleeve of Cubic was calculated with Miner’s linear cumulative damage theory and life prediction method. In ANSYS, combined with static analysis, topology optimization and Fatigue function corresponding data, the information exchange system for life optimization design of Hinge Sleeve of Cubic was created. According to the required load conditions, the material foundation data and boundary constraints are set, and the stress correction curve is loaded for fatigue calculation. With the results of fatigue calculation, the simulation verification is carried out again. The final model of mass-reduction design is obtained through repeated optimization verification by combining ANSYS data with topology optimization. Compared with traditional theoretical calculation methods, the optimized Hinge Sleeve of Cubic was obtained by the optimization method based on information exchange model proposed, it has better computing performance. The simulation results show that the working performance of the optimized Hinge Sleeve of Cubic meets the design requirements.