Advanced Materials Research
Vol. 502
Vol. 502
Advanced Materials Research
Vol. 501
Vol. 501
Advanced Materials Research
Vol. 500
Vol. 500
Advanced Materials Research
Vol. 499
Vol. 499
Advanced Materials Research
Vol. 498
Vol. 498
Advanced Materials Research
Vol. 497
Vol. 497
Advanced Materials Research
Vol. 496
Vol. 496
Advanced Materials Research
Vols. 490-495
Vols. 490-495
Advanced Materials Research
Vols. 488-489
Vols. 488-489
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 Vol. 496
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Paper Title Page
Abstract: The strength and elongation, the unevenness and the number of hairiness of the soybean protein fiber/fine-polyester blended yarn are tested. By the analysis of these results, the optimum blended ratio of the blended yarn is determined.
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Abstract: To detect noradrenaline (NA) concentration, a fiber optic biosensor based on CuPc catalysis and fluorescence quenching was fabricated and studied. The dissolved oxygen and NA content were evaluated by the phase delay φ. A linear relationship between φ and NA concentration was observed in the range from 2.4×106 to 9.2×105 M, and the detection limit was 4.6×107 M. The results indicated that the fiber optic biosensor exhibited good reproducibility and stability
439
Abstract: A polyimide resin-bonded cubic boron nitride (cBN) wheel was designed and manufactured for precision grinding ferrous materials. Firstly, the curing reaction of the resin, which including chain and cross-linking polymerization stages with the exothermic peaks of 140°C and 235°C, respectively, was analyzed by DSC-TG. Based on thermal analysis, a hot press forming process and a post thermal treatment were employed for manufacturing the wheel. Grinding experiment results showed that the transient normal grinding forces vary from 9 to 12 N and fluctuate slightly with 1~2 N when grinding hardened steel 45#. The grinding ratio of 775 and the surface roughness of 0.19 μm were obtained.
443
Abstract: The present work investigates an optical fiber micro-displacement sensor based on artificial neural network. Owing to the micro-displacement sensor was affected by the variations and noises seriously, the artificial neural network was introduced to the micro-displacement sensor as compensation method, experimental results and numerical simulation indicated that the micro-micro-displacement sensor with artificial neural network could enhance the nonlinear correction for sensor and decrease the interferences effectively. Simultaneously, by way of the contrast test of the different neural network, experimental results showed that the linearity of full scope could reach 0.2% for micro-micro-displacement sensor based on BRF network, and concluded the BRF network was more suitable for compensation of optical micro-displacement sensor.
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Abstract: Tin resources are mainly distributed in Yunnan and Guangxi autonomous regions, China. Tin ores in these areas are characterized by polymetallic constituents, including copper, zinc, lead and other associated elements that can be recovered. Due to the complex mineral composition and texture of the ores, gravity concentration, flotation as well as some combined processing techniques used in some major concentrators are reviewed and discussed. Case study shows that the comprehensive utilization of the tin ores can be realized to produce some marketable products for smelters. But much work on recovery of the fine fractions of tin shall still be done to get a good processing performance for the resource sustainable development
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Abstract: The growth conditions of a Geobacillus sp. were investigated by single-factor experiments. The strain was strictly aerobic bacterium, and could grow on hydrocarbons as the sole carbon source. The optimum carbon and nitrogen sources were 3.0% sucrose and 0.20% KNO3, respectively. The range of temperature, salinity and pH for the bacterial growth was 35-70 °C, 0-10% NaCl and 5.5-9.5, and good growth was obtained at 35-65 °C, 0.5-8% NaCl and 6.0-9.0, respectively. Particularly, the optimum temperature for the bacterial growth was between 50 °C and 60 °C. The strain had wide adaptability to the extreme conditions, and may be potentially applied to microbial enhanced oil recovery and oil-waste bioremediation technology.
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Abstract: In order to describe the relation between the elasticity and the blended ratio of PLA fiber blended yarn, the elasticity of different kinds of blended ratio of PLA/Modal and PLA/cotton blended yarn was measured. The relation between the elasticity and the blended ratio of blended yarn is determined. The optimum blended ratio is analyzed.
463
Abstract: The present studies are to investigate the microstructure features and macroscopical hardness during transformation from austenite to pearlite without and with 12T magnetic field on Fe-1.1%C alloy. It is found that 12T magnetic field can increase the area fraction of abnormal microstructure and the average width of secondary cementite in Fe-1.1%C alloy by remarkably decreasing the Gibbs energy needed for the ferrite transformation. The macroscopical hardness of the specimens heated with 12Tmagnetic field is lower than the specimens without magnetic field. The reason is that the magnetric field increase the lamellar spacing of pearlite
467
Abstract: In this paper, graphite oven atomic absorption spectroscopy was adopted to determine typical metals contents, iron (Fe), aluminum (Al), chromium (Cr), in engine lubricating oil for a rapid evaluation about engine wearing conditions. Samples were made into translucent micro-emulsion by adding Tween 80 and 1% nitric acid solution, and then Fe, Al and Cr contents were determined. The recovery rate of standard addition method was achieved as high as 95.3% to 101.1%, and relative standard deviation (RSD) of six times parallel tests were all less than 3%. The results indicated that the adoption of atomic absorption spectroscopy to predict engine wearing condition acquired the following advantages: high sensitivity, simple operation, pinpoint accuracy and excellent reproducibility.
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Abstract: Silica/yeast composites were prepared for removal of Pb(II) from aqueous solution. The effects of pH, contact time and initial concentration were examined. The optimum pH was 5.0. The kinetic data were investigated by pseudo-first-order and pseudo-second-order models. The kinetic rates were better fitted to the pseudo-second-order model. The experimental data were fitted with the Langmuir and Freundlich models to analyze the equilibrium isotherms. The maximum adsorption capacity calculated from Langmuir isotherm was 73.53 mg/g. The Langmuir isotherm was more favorable to describe the experimental data.
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