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Jinlong Cao,Xiaowen Zhao,Lin Ye 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.112 No.-
As load-bearing material in biomedical-applications as cartilage replacement, artificial meniscus and tendons,etc., poly(vinyl alcohol) (PVA)/graphene oxide (GO)-tannic acid (TA) nano-composite hydrogelswith multiple-crosslinking network were fabricated by establishing freezing/thawing-annealing-swellingmethod. By TA anchoring, PVA molecules were grafted onto GO surface efficiently, and strong interfacialinteraction led to exfoliation and uniform distribution of GO in matrix. By introducing annealing process,the crystallinity and crystallite size of PVA increased and introducing GO-TA led to more perfect and densercrystalline structure, while physical crosslinking network centered on GO-TA and hydrogen bondabundantcrystalline phase formed, resulting in increasing crosslinking density of hydrogel. By furtherswelling in CaCl2 aqueous solution, hydroxyl-Ca2+ coordination formed, and multiple-crosslinking networkwas constructed with high crosslinking density. The tensile strength and fracture toughness of compositehydrogel were remarkably improved, reaching 14.38 MPa/27.93 MJ/m3, approximately 11-/26-foldhigher than those of neat PVA hydrogel, while tearing strength was significantly enhanced, attributed tohigh energy dissipation through unzipping multiple interactions.
( Qiang Ji ),( Shifeng Zhang ),( Haoguang Zhao ),( Tiankui Zhang ),( Jinlong Cao ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
In cooperative multi-relay networks, the relay nodes which are selected are very important to the system performance. How to choose the best cooperative relay nodes is an optimization problem. In this paper, multi-relay selection schemes which consider either single objective or multi-objective are proposed based on evolutionary algorithms. Firstly, the single objective optimization problems of multi-relay selection considering signal to noise ratio (SNR) or power efficiency maximization are solved based on the quantum bee colony optimization (QBCO). Then the multi-objective optimization problems of multi-relay selection considering SNR maximization and power consumption minimization (two contradictive objectives) or SNR maximization and power efficiency maximization (also two contradictive objectives) are solved based on non-dominated sorting quantum bee colony optimization (NSQBCO), which can obtain the Pareto front solutions considering two contradictive objectives simultaneously. Simulation results show that QBCO based multi-relay selection schemes have the ability to search global optimal solution compared with other multi-relay selection schemes in literature, while NSQBCO based multi-relay selection schemes can obtain the same Pareto front solutions as exhaustive search when the number of relays is not very large. When the number of relays is very large, exhaustive search cannot be used due to complexity but NSQBCO based multi-relay selection schemes can still be used to solve the problems. All simulation results demonstrate the effectiveness of the proposed schemes.