BAI TuYa, FAN LiFeng, YAN JiaXin, et al. OPTIMIZATION ON JCO FORMING OF LARGE DIAMETER WELDING PIPE. [J]. 38(3):495-501(2016)
DOI:
BAI TuYa, FAN LiFeng, YAN JiaXin, et al. OPTIMIZATION ON JCO FORMING OF LARGE DIAMETER WELDING PIPE. [J]. 38(3):495-501(2016) DOI: 10.16579/j.issn.1001.9669.2016.03.013.
OPTIMIZATION ON JCO FORMING OF LARGE DIAMETER WELDING PIPE
JCO forming is widely used in production of large diameter submerged-arc welding pipes. However,more total number of bending deformation and low production efficiency of JCO forming have been the bottleneck problem that restricts the further development. To resolve this problem,this study investigates JCO forming process by multi-objective optimization. JCO forming is simulated using the FE code ABAQUS and the FE model is validated experimentally. A response surface method based on the radial basis function is used to construct a surrogate model; the genetic algorithm NSGA-II is adopted to search for Pareto solutions; and grey relational analysis is used to determine the most satisfactory solution from the Pareto solutions. The obtained optimal design of parameters shows good agreement with the initial design and remarkably improves the JCO forming quality.Thus,the results of this study provide an effective approach for improving production efficiency and reducing total number of bending deformation in JCO forming.
关键词
大口径直缝焊管JCO成形径向基函数遗传算法灰色系统理论
Keywords
Large diameter welding pipeJCO formingRSMGenetic algorithmGrey system theory
MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT)
RELIABILITY ALLOCATION OF A ROTARY MACHINE BASED ON GREY EVALUATION THEORY
OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM
ANALYSIS AND OPTIMIZATION OF WORKSPACE FLEXIBILITY OF WELDING ROBOT
MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
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