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- 저자 : Kangkang Yang (검색결과 5 건)
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A Conflict Detection Method Based on Constraint Satisfaction in Collaborative Design
Kangkang Yang,Shijing Wu,Wenqiang Zhao,Lu Zhou 한국정보과학회 2015 Journal of Computing Science and Engineering Vol.9 No.2
Hierarchical constraints and constraint satisfaction were analyzed in order to solve the problem of conflict detection in collaborative design. The constraints were divided into two sets: one set consisted of known constraints and the other of unknown constraints. The constraints of the two sets were detected with corresponding methods. The set of the known constraints was detected using an interval propagation algorithm, a back propagation (BP) neural network was proposed to detect the set with the unknown constraints. An immune algorithm (IA) was utilized to optimize the weights and the thresholds of the BP neural network, and the steps were designed for the optimization process. The results of the simulation indicated that the BP neural network that was optimized by IA has a better performance in terms of convergent speed and global searching ability than a genetic algorithm. The constraints were described using the eXtensible Markup Language (XML) for computers to be able to automatically recognize and establish the constraint network. The implementation of the conflict detection system was designed based on constraint satisfaction. A wind planetary gear train is taken as an example of collaborative design with a conflict detection system.
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A Conflict Detection Method Based on Constraint Satisfaction in Collaborative Design
Yang, Kangkang,Wu, Shijing,Zhao, Wenqiang,Zhou, Lu Korean Institute of Information Scientists and Eng 2015 Journal of Computing Science and Engineering Vol.9 No.2
Hierarchical constraints and constraint satisfaction were analyzed in order to solve the problem of conflict detection in collaborative design. The constraints were divided into two sets: one set consisted of known constraints and the other of unknown constraints. The constraints of the two sets were detected with corresponding methods. The set of the known constraints was detected using an interval propagation algorithm, a back propagation (BP) neural network was proposed to detect the set with the unknown constraints. An immune algorithm (IA) was utilized to optimize the weights and the thresholds of the BP neural network, and the steps were designed for the optimization process. The results of the simulation indicated that the BP neural network that was optimized by IA has a better performance in terms of convergent speed and global searching ability than a genetic algorithm. The constraints were described using the eXtensible Markup Language (XML) for computers to be able to automatically recognize and establish the constraint network. The implementation of the conflict detection system was designed based on constraint satisfaction. A wind planetary gear train is taken as an example of collaborative design with a conflict detection system.
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Plastic Deformation Mechanism of Ductile Fe50Ni30P13C7 Metallic Glass
Kangkang Geng,Weiming Yang,Jinyong Mo,Haishun Liu,Feng Wei,Zhanguo Ma,Yucheng Zhao,Akihisa Inoue 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.2
Shear band (SB) multiplication is considered as an essential characteristic of the plastic deformation in metallic glasses(MGs). In this work, the evolutionary characteristics of SBs and serrated behavior in ductile Fe50Ni30P13C7MGs werestudied by the finite element method simulation. The study demonstrated that the stress field would redistribute and becomeinhomogeneous during SB sliding, where the stress perpendicular to the original SB gradually accumulates until reachingthe magnitude of yielding strength and triggering new SBs. The results of simulation are in good agreement with the SBsintersection morphologies observed in SEM images and the serration flows on the stress–strain curves. Furthermore, severalfactors affecting stress field distribution in MGs, such as contact friction, aspect ratio, and boundary confinement, werealso analyzed and discussed. The overall results indicate that the ductility of Fe-based MGs could be achieved without anyinhomogeneous structure, and scientifically explicate the dependence of SB multiplication on both material properties andloading condition, which can provide us with a deeper understanding on plastic deformation mechanism of MGs.
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Jin Xi,Wu Daibiao,Yang Haidong,Zhu Chengjiu,Shen Wenjing,Xu Kangkang 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.3
Complex nonlinear distributed parameter systems (DPSs) exist widely in advanced industrial thermal processes. The modeling of such highly nonlinear systems is a challenge for traditional time/space-separation-based methods since they employ linear methods for the model reduction and spatiotemporal reconstruction, which may lead to an inefficient application of the nonlinear spatial structure features represented by the spatial basis functions. To overcome this problem, a novel spatiotemporal modeling framework composed of nonlinear temporal domain transformation and nonlinear spatiotemporal domain reconstruction is proposed in this paper. Firstly, local nonlinear dimension reduction based on the locally linear embedding technique is utilized to perform nonlinear temporal domain transformation of the spatiotemporal output of nonlinear DPSs. In this step, the original spatiotemporal data can be directly transformed into low-order time coefficients. Then, the extreme learning machine (ELM) method is utilized to establish a temporal model. Finally, through the spatiotemporal domain reconstruction based on the kernel-based ELM method, the prediction of the temporal dynamics obtained from the temporal model can be reconstructed back to the spatiotemporal output. The effectiveness and performance of the proposed method are demonstrated in experiments on the thermal processes of a snap curing oven and a lithium-ion battery.
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In situ growth of hollow Cu2O spheres using anionic vesicles as soft templates
Xiaolin Luo,Zhe Pan,Fei Pei,Zhipeng Jin,Kangkang Miao,Pengfei Yang,Huaming Qian,Qiang Chen,Guodong Feng 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.59 No.-
Geometrically optimizing anionic vesicles were fabricated using two types of anionic surfactants with antipodal molecular configuration. The influence of counterions on the anionic vesicles was systematically investigated to maintain electrostatic interaction between the anionic vesicles and the precursors, as well as to ensure the structural integrity of the vesicle templates. The transcription from vesicles to hollow Cu2O spheres was achieved through an in situ reduction approach. The obtained hollow Cu2O spheres were assembled by abundant nanoparticles around the vesicle interface and showed preferable adsorption capacity for methyl orange in the dark compared with the solid Cu2O spheres synthesized without any surfactants.
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