Blank holder force(BHF)is a crucial parameter in deep drawing,having close relation with the forming quality of sheet metal.However,there are different BHFs maintaining the best forming effect in different stages of d...Blank holder force(BHF)is a crucial parameter in deep drawing,having close relation with the forming quality of sheet metal.However,there are different BHFs maintaining the best forming effect in different stages of deep drawing.The variable blank holder force(VBHF)varying with the drawing stage can overcome this problem at an extent.The optimization of VBHF is to determine the optimal BHF in every deep drawing stage.In this paper,a new heuristic optimization algorithm named Jaya is introduced to solve the optimization efficiently.An improved“Quasi-oppositional”strategy is added to Jaya algorithm for improving population diversity.Meanwhile,an innovated stop criterion is added for better convergence.Firstly,the quality evaluation criteria for wrinkling and tearing are built.Secondly,the Kriging models are developed to approximate and quantify the relation between VBHF and forming defects under random sampling.Finally,the optimization models are established and solved by the improved QO-Jaya algorithm.A VBHF optimization example of component with complicated shape and thin wall is studied to prove the effectiveness of the improved Jaya algorithm.The optimization results are compared with that obtained by other algorithms based on the TOPSIS method.展开更多
Most image segmentation methods based on clustering algorithms use singleobjective function to implement image segmentation.To avoid the defect,this paper proposes a new image segmentation method based on a multi-obje...Most image segmentation methods based on clustering algorithms use singleobjective function to implement image segmentation.To avoid the defect,this paper proposes a new image segmentation method based on a multi-objective particle swarm optimization(PSO)clustering algorithm.This unsupervised algorithm not only offers a new similarity computing approach based on electromagnetic forces,but also obtains the proper number of clusters which is determined by scale-space theory.It is experimentally demonstrated that the applicability and effectiveness of the proposed multi-objective PSO clustering algorithm.展开更多
For solar array deployment,most existing studies mainly focus on modeling method of deployment dynamics,characteristics of hinges,and synchronization mechanisms.However,torsion springs,which work as the drive mechanis...For solar array deployment,most existing studies mainly focus on modeling method of deployment dynamics,characteristics of hinges,and synchronization mechanisms.However,torsion springs,which work as the drive mechanisms,have hardly attracted people's attention.In this study,the influence of the parameters of torsion springs on the deployment behavior of a solar array system with clearance joint is investigated by simulation experiments.The experimental results indicate that the deployment performances are very sensitive to the parameter values of the torsion spring.Suitable torsion springs are highly needed to improve the deployment dynamics of solar array system.Therefore,a multi-objective optimization method for the design of torsion springs is proposed.The objective of the optimization is to make the contact-impact force in revolute joint and the mass of the torsion spring minimum under the constraints of deployment time and structure strength.Finally,the effectiveness of the multi-objective optimization method is verified by an optimization example of solar array system.展开更多
基金Supported by National Key Research and Development Program of China(Grant No.2022YFB3304200)National Natural Science Foundation of China(Grant No.52075479)Taizhou Municipal Science and Technology Project of China(Grant No.1801gy23).
文摘Blank holder force(BHF)is a crucial parameter in deep drawing,having close relation with the forming quality of sheet metal.However,there are different BHFs maintaining the best forming effect in different stages of deep drawing.The variable blank holder force(VBHF)varying with the drawing stage can overcome this problem at an extent.The optimization of VBHF is to determine the optimal BHF in every deep drawing stage.In this paper,a new heuristic optimization algorithm named Jaya is introduced to solve the optimization efficiently.An improved“Quasi-oppositional”strategy is added to Jaya algorithm for improving population diversity.Meanwhile,an innovated stop criterion is added for better convergence.Firstly,the quality evaluation criteria for wrinkling and tearing are built.Secondly,the Kriging models are developed to approximate and quantify the relation between VBHF and forming defects under random sampling.Finally,the optimization models are established and solved by the improved QO-Jaya algorithm.A VBHF optimization example of component with complicated shape and thin wall is studied to prove the effectiveness of the improved Jaya algorithm.The optimization results are compared with that obtained by other algorithms based on the TOPSIS method.
基金This work was supported by the National Natural Science Foundation of China(Nos.61772242,61402204,61572239)Research Fund for Advanced Talents of Jiangsu University(No.14JDG141)+2 种基金Science and Technology Project of Zhenjiang City(No.SH20140110)Special Software Development Foundation of Zhenjiang City(No.201322)Science and Technology Support Foundation of Zhenjiang City(Industrial)(No.GY2014013).
文摘Most image segmentation methods based on clustering algorithms use singleobjective function to implement image segmentation.To avoid the defect,this paper proposes a new image segmentation method based on a multi-objective particle swarm optimization(PSO)clustering algorithm.This unsupervised algorithm not only offers a new similarity computing approach based on electromagnetic forces,but also obtains the proper number of clusters which is determined by scale-space theory.It is experimentally demonstrated that the applicability and effectiveness of the proposed multi-objective PSO clustering algorithm.
基金the Project of Ministry of Education and Ministry of Finance of China(No.201335)
文摘For solar array deployment,most existing studies mainly focus on modeling method of deployment dynamics,characteristics of hinges,and synchronization mechanisms.However,torsion springs,which work as the drive mechanisms,have hardly attracted people's attention.In this study,the influence of the parameters of torsion springs on the deployment behavior of a solar array system with clearance joint is investigated by simulation experiments.The experimental results indicate that the deployment performances are very sensitive to the parameter values of the torsion spring.Suitable torsion springs are highly needed to improve the deployment dynamics of solar array system.Therefore,a multi-objective optimization method for the design of torsion springs is proposed.The objective of the optimization is to make the contact-impact force in revolute joint and the mass of the torsion spring minimum under the constraints of deployment time and structure strength.Finally,the effectiveness of the multi-objective optimization method is verified by an optimization example of solar array system.
