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Gear hot forging process robust design based on finite element method
Chen Xuewen,정동원 대한기계학회 2008 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.22 No.9
During the hot forging process, the shaping property and forging quality will fluctuate because of die wear, manufacturing tolerance, dimensional variation caused by temperature and the different friction conditions, etc. In order to control this variation in performance and to optimize the process parameters, a robust design method is proposed in this paper, based on the finite element method for the hot forging process. During the robust design process, the Taguchi method is the basic robust theory. The finite element analysis is incorporated in order to simulate the hot forging process. In addition, in order to calculate the objective function value, an orthogonal design method is selected to arrange experiments and collect sample points. The ANOVA method is employed to analyze the relationships of the design parameters and design objectives and to find the best parameters. Finally, a case study for the gear hot forging process is conducted. With the objective to reduce the forging force and its variation, the robust design mathematical model is established. The optimal design parameters obtained from this study indicate that the forging force has been reduced and its variation has been controlled.
Jinhua Liu,Liang Luo,Xuewen Xiao,Chen Zhang,Ling Zhang,Chengji Mi 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6
In order to optimize the stiffness and strength and modal characteristics of frame in an electric mining dump truck determined by experiential design, the multi-objectives topology optimization is the most frequently used method. However, each single objective satisfaction degree has fuzziness when it comes to solve engineering problems. In this paper, a novel fuzzy multi-objective topology optimization method based on fuzzy satisfaction variable weight coefficients was presented. Based on the variable density method and SIMP interpolation model, the single objective topology optimization design under different conditions was performed. The fuzzy membership function was utilized to measure the sub-objective fuzzy satisfaction degree of frame. The weight factor of each single objective was dynamically assigned through variable weight approach. In consideration of fatigue stress constraint, the fuzzy multi-objectives topology optimization of frame was conducted through OptiStruct solver. The results showed that the stiffness of optimized frame under forward torsion and post torsion and full torsion conditions was improved by 4.7 %, 7.4 % and 5.4 %, respectively, while the stiffness of optimized frame under bending condition was worsened by 2.7 %. The first order natural frequency of optimized frame was improved by 5.6 %.