The Robust Optimization Design of 1250T Hydraulic Press Slide Block
To stabilize the hydraulic press performance under the effects of variation such as the fluctuation of loading, material properties, physical dimensions of parts and operating conditions, the early design process needs to be optimized. In this paper, the design parameters of slide block, which is the key stress part of the 1250 ton hydraulic press, are optimized by Neighborhood Cultivation Genetic Algorithm (NCGA) combined with Six Sigma robust design method. By simulated in the finite element software ABAQUS and multi-disciplinary optimized software ISIGHT, the robustness of the structure design increases up to 99%, and the problems of stress and overweight of original structure are solved. It is proved that the Six Sigma robust design method combined with NCGA can improve the stability of structure properties during the early design stage.
Fan FAN Baochun LU Guojun YANG Yongzheng SONG Yulan DING
School of Mechanical Engineering, Nanjing University of Science and Technology, Jiangsu, China Nantong Forging Equipment Co., Ltd, Jiangsu, China Heavy forging equipment Engineering Research Center of Jiangsu Province, Jiangsu, China
国际会议
The 4th International Conference on Mechanical Engineering and Mechanics(第四届国际机械工程与力学会议)
苏州
英文
702-707
2011-08-11（万方平台首次上网日期，不代表论文的发表时间）