ISSN: 1003-6326
CN: 43-1239/TG

Vol. 27    No. 3    March 2017

Sequential multi-objective optimization of thin-walled aluminum alloy tube bending under various uncertainties
Heng LI1, Jie XU1, Heng YANG1, He YANG1, Guang-jun LI2
(1. State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China;
2. Chengdu Aircraft Industry (Group) Corporation Ltd., Chengdu 610092, China
Abstract: Combining the design of experiments (DOE) and three-dimensional finite element (3D-FE) method, a sequential multi- objective optimization of larger diameter thin-walled (LDTW) Al-alloy tube bending under uncertainties was proposed and implemented based on the deterministic design results. Via the fractional factorial design, the significant noise factors are obtained, viz, variations of tube properties, fluctuations of tube geometries and friction. Using the virtual Taguchi’s DOE of inner and outer arrays, considering three major defects, the robust optimization of LDTW Al-alloy tube bending is achieved and validated. For the bending tools, the robust design of mandrel diameter was conducted under the fluctuations of tube properties, friction and tube geometry. For the processing parameters, considering the variations of friction, material properties and manufacture deviation of mandrel, the robust design of mandrel extension length and boosting ratio is realized.
Key words: robust optimization; tube bending; uncertainty; aluminum alloy; multi-objective optimization
Superintended by The China Association for Science and Technology (CAST)
Sponsored by The Nonferrous Metals Society of China (NFSOC)
Managed by Central South University (CSU)