Advanced Materials Research Vols. 230-232

Abstract: Cu nanoparticles as N32 base oil additives were studied in the paper. The structure of Cu nanoparticlcs was characterized by Transmission Electron Microscopy (TEM) and X-ray powder diffraction spectroscope (XRD). The widely used steel-steel friction system was chosen to test the feasibility and practicality of Cu nanoparticles as bearing lubricant additives. The results show that N32 base oil with 0.5% Cu nanoparticle can improve the test sample contact fatigue life than pure N32 base oil.

Abstract: Aiming at characteristics of production and requirement, analyzing multi-dimensional structure features of manufacturing resources, Bill of Manufacturing Resource for capacity allocation was presented based on mapping logic relationships. The state description matrixes of process load and capability were built upon Bill of Process as a coupling; the associated structure of capacity, process and material is expressed according to operations in each production stage. With manufacturing process information being integrated and carded, the accurate description of manufacturing resources can be obtained. Decision support data is provided for capacity allocation in steel enterprises. BOMR model is verified as feasible and effective by conducting in an actual enterprise.

Abstract: In order to learn of pyrolytic behavior of bagasse multifunctional materials, the extractives of bagasse biomass were adsorbed and determined by Py-GC-MS. And the main constituents were 1-phenanthrenecarboxylic acid,1,2,3,4,4a,9,10,10a-octahydro-1,4a-di methyl-7-(1-methylethyl)-( 37.99%), decanoic acid, 1,2,3-propanetriyl ester(5.73%), tridecane, 2-methyl-(5.09%), dodecanoic acid, 1-(hydroxymethyl) -1,2-ethanediyl ester(4.52%), stigmastan-3,5-diene(3.81%), glycine, furan-2-yl-methyl ester(3.45%), 1-hexacosene(2.18%), 1-docosene(2.08%), kaura-9(11),16-dien-18-oic acid, (4.alpha.)- (2.07%), etc.

Abstract: In order to find out its active materials, the extractives of bagasse biomass were adsorbed and determined by Py-GC-MS. And the main constituents were 1-phenanthrenecarboxylic acid, 1,2,3,4,4a,9,10,10a- octahydro-1,4a-di methyl-7-(1-methylethyl)-( 24.24%), nonadecane, 1-chloro-(4.36%), stigmast-4-en-3-one(3.94%), 1-nonadecene(3.84%), etc.

Abstract: Nanoflakes β-Ni(OH)₂ microspheres were successfully synthesized by a facile hydrothermal. The microstructures and morphology were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Electrochemical properties studies were carried out using cyclic voltammetry (CV), galvanostaitc charge/discharge and electrochemical impedance spectroscopy methods, respectively. The results exhibited that the β-Ni(OH)₂ single electrode had high specific capacitance in KOH electrolyte. A maximum specific capacitance of 1929 F/g could be achieved in 6 M aqueous KOH with 0 to 0.4 V potential at a charge-discharge current density of 6 mA/cm². Therefore, the obtained nanoflakes β-Ni(OH)₂ microspheres can be a potential application electrode material for supercapacitors.

Abstract: The cardan belong to dial the fork kind parts, its forming is difficult and forming high quality requirements. Establish macro-micro coupling, and a simulation model for the cardan negative extrusion forming process, a numerical simulation considering the deformation and heat conduction, deformation heat production, friction heat production, dynamic recrystallization and so on many factors. Analyze the deformation process detection cardan anti extruded deformation in advance and is extruded deformation. Meanwhile analysis showed that the cardan forgings have internal 59.929% area completely modification, have 4.7944% area did not happen dynamic recrystallization and didn't get forging modification, and forecasts the cardan internal grain size and distribution, the micro analysis for the prediction of forgings performance and design heat treatment process, provides the basis.

Abstract: The property of Heavy axial forgings can be modified by the reasonable drawing process with the advantage of dynamic recrystallization. In view of formation, heat transfer, heating generation, dynamic recrystallization a macro-micro coupled process was modeled, and the drawing process of φ300 mm×4000 mm axial forging is simulated .It is found that when the cumulative reduction ratio reaches 9% in the second round, the dynamic recrystallization occurred in the material as it reached a critical strain condition .With the reduction ratio increases, the volume fraction of dynamic recrystallization increases. When the cumulative reduction ratio reaches 60%, about 67% of the inner region of the axial forging is modified fully. After the drawing process, the dynamic recrystallization grain size in 60% of the cross-section area is less than 100 μm , and the grains get refined.

Abstract: This paper has proposed an intelligent tubing flow measuring system based on CAN bus and LabVIEW. The CAN bus can collect data from the field nodes and can control communication. The virtual instrument LabVIEW analyzes and processes the optimized data. The test shows this system has a strong ability to resist disturbances, a very high reliability and environmental adaptability while maintaining a high controlling accuracy.

Abstract: Reconfigurable design is becoming more and more important in the product design. Based on the interchange and the assembled character of the module, module design is the main technology of carrying out reconfigurable design. Reconfigurable design system in this paper uses function and structure module, builds the virtual design floor to decompose and mapping the function and structure of the stone grinding equipment. Based on the equipment database created in Pro/Engineer software, this software can design, modify and assemble the module and the whole product according to the customer requirements. The application effect of this software is prefect.

Abstract: This paper introduces the algorithm structure, principle and method of the evaluation of the flatness error based on genetic algorithm. Detailedly describes how to use genetic algorithm based on real number encoding to evaluate the flatness error and gives algorithm process.MATLAB’s GA algorithm toolbox is used to evaluate the flatness error. Describes and explains the parameter setup of every step detailedly and compiles M-file used of algorithm of fitness function. The structure which is carried out by the simulation is satisfying. Simulation process and the results prove that it’s right to use genetic algorithm based on real number encoding to evaluate the flatness error to calculate convergence.It can get the result rapidly and ideally.