Advanced Materials Research
Vol. 487
Vol. 487
Advanced Materials Research
Vol. 486
Vol. 486
Advanced Materials Research
Vol. 485
Vol. 485
Advanced Materials Research
Vols. 482-484
Vols. 482-484
Advanced Materials Research
Vols. 479-481
Vols. 479-481
Advanced Materials Research
Vols. 476-478
Vols. 476-478
Advanced Materials Research
Vols. 472-475
Vols. 472-475
Advanced Materials Research
Vols. 468-471
Vols. 468-471
Advanced Materials Research
Vols. 466-467
Vols. 466-467
Advanced Materials Research
Vol. 465
Vol. 465
Advanced Materials Research
Vols. 463-464
Vols. 463-464
Advanced Materials Research
Vol. 462
Vol. 462
Advanced Materials Research
Vol. 461
Vol. 461
Advanced Materials Research Vols. 472-475
Paper Title Page
Abstract: Virtual logistics is the trend of development for modern logistics. The problem of optimum of whole inventory of enterprises inside the virtual logistics organization should be solved immediately. This paper makes a deep research on virtual logistics joint inventory control problem, and puts forward an inventory control model based on indirect grouping. The model is a NP-Hard problem, so we put forward a genetic algorithm to solve the problem. The results of computational experiment prove the performance of both the model and the genetic algorithm.
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Abstract: A core-shell structure material, carbon fiber/MoS2 was prepared by a surface modification precipitation process in aqueous solution. A nucleation model for this structure was proposed. Coating was obtained from 10-4M ammonium molybdate. The energy band gap of MoS2 calculated from the absorption spectra was about 1.97eV. CFs/MoS2 core-shell structure has strong absorption in the wavelength range from 400 to 1000nm, which is well fitted to visible light of the solar spectrum. The result of thermal analysis indicates that the composite is stable below 403 °C.
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Abstract: Mobile station (MS) localization which plays an important role in the process of target continuous localization has received considerable attention. In this paper, a novel multidimensional scaling (MDS) method based on Minimum norm solution is proposed for passive emitter location in wireless networks. It is shown that the proposed approach is a generalization of the mobile localization method based on multidimensional scaling (MDS) analysis. Through computer simulations, we can see that the proposed algorithm has a better performance compared with classic MDS and subspace algorithms in time of arrival (TOA) measurements.
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Abstract: Black thermal control coatings based on carbon black are used widely in space technology. The thermal control coatings are exposed to electrostatic charges that develop on the external surface of the spacecraft. The charges would otherwise accumulate to cause arcing and possible damage. The carbon black pigment provides sufficient electrical conductivity to dissipate electrostatic charges. In this study, The influence of the type and percent of carbon black on the surface resistivity of the coating produced by polydimethylsiloxane and carbon black was studied. Results indicated that the weight fraction of the pigment in coatings fabricated by carbon black with a sponge-like structure are lower compared to coatings fabricated by carbon black with a nonporous structure also, the surface resistance decreased with increasing pigment contents.
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Abstract: Five-axis CNC flank milling has recently received much attention in industry. Tool path planning is a critical issue in five-axis CNC flank milling operation. Previous work based on dynamic-programming generated optimal tool path by global minimising the machining error. However, global minimal machining error may not guarantee a local machining error controllable. Therefore, this paper proposes a method based on combination of global and local optimization, which makes tool path of five-axis flank milling optimal and error controllable. Oversize error of tool paths can be partially adjusted so that a specified tolerance is met in global optimization processing. Finally, the experiments of the simulative are made by this algorithm. The result verifies the feasibility and validity of the proposed scheme.
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Abstract: The new process electroless Sn deposition on cast AZ61 was revealed, which employed to AZ61 magnesium alloy automobile parts and could provide high wear-resistant and high hardness. The pretreatment processes before electroless Sn deposition could ensure better adhesion between Sn coating and magnesium alloy. The speed of the Sn deposition increases quickly with increasing the content of composite catalysts in the plating bath. The technology is environment friendly and cannot cause hazard to environment because of absence of nickel and chromate in the whole process. Wastewater treatment technology of electroless Sn bath was investigated as well.
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Abstract: In this paper, we deal with a generalization of the Yamabe flow named conformal geometry flow. Firstly we derive a monotone formula of the Einstein-Hilbert functional under the conformal geometry flow. Then we prove the properties that the conformal geometry solitons and conformal geometry breather both have constant scalar curvature at each time by using the modified Einstein-Hilbert function. Finally we present some properties of Yamabe solitons in compact manifold and noncompact manifolds through the equation of Yamabe soliton.
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Abstract: The influence of passivation on pitting corrosion of 316L stainless steel in concentrated seawater was investigated by using cyclic anodic polarization and critical pitting temperature. The results indicated that the pitting potential of passivated specimen was higher than that of matrix specimen in concentrated seawater at 25°C and 85°C. Critical pitting temperature value of passivated specimen was 56°C, which was much higher than 11°C for matrix specimen. Pitting corrosion occurred in the formed pit of passivated specimen, and metastable pit, lacy cover and new pit were observed in pit morphology.
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Abstract: Aiming at the problems that diversity and blindness of milling parameter selection, propose a milling parameter optimization method that based on control of surface roughness by coupling neural network and annealing genetic hybrid algorithm. This method makes advantages of experimental design technique, neural network and annealing genetic hybrid algorithm. High speed milling of aluminum alloy 7475 surface roughness experiments were designed based on uniform experimental design scheme. A neural network predictive model for surface roughness was created using experimental data. The predictive model and analytical definition of material remove rate had consisted of optimization problem. It was used annealing genetic hybrid algorithm to optimize model. Proved by test ,the results show that the optimal parameter can improve surface quality. This indicates that the method can accurately milling parameter optimize.
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Abstract: A novel Ni-3Cr-10Al nanocomposite (wt.% ) was fabricated by co-electrodeposition of Ni matrix with Cr and Al nanoparticles. Oxidation in air at 900 oC showed that the Ni-3Cr-10Al nanocomposite compared with the alloy showed good oxidation behavior due to the selective oxidation of Al favored by its unique structure.
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