The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
ji yu gai jin nsga suan fa de xiang xing shen suo bi duo mu biao you hua she ji
Author(s): 
Pages: 5-9
Year: Issue:  11
Journal: Haisting and Conveying Machinery

Keyword:  truck cranegenetic algorithmtelescopic boommulti-target optimization;
Abstract: The rapid non-dominated sorting genetic algorithm (NSGA-Ⅱ)with elitist strategy is improved in the as-pects of generation of initial population and crossover operator.The stress and deflection deformation analysis is performed for the telescopic boom to get the stress and strain cloud picture,in order to guarantee the telescopic boom meets the strength and rigidity requirements.With the geometrical parameters of telescopic boom cross-section as the design variable, its stability and self-weight as optimal objective,the improved NSGA-Ⅱalgorithm is integrated with Ansys finite element a-nalysis by iSIGHT software.With the telescopic boom of QY20 truck crane as an example,the multi-target optimal design is performed for box-type telescopic boom of the crane,to get Pareto leading-edge solution which is compared with the cross-section parameter before optimization,proving feasibility of the algorithm.
Related Articles
No related articles found