Abstract: A Multi-quantum-well (MQW) spatial light modulator (SLM) was developed and tested. The test results shows that CR could reach 1.7,the swing of driving voltage is 1.5 under the conditions of room temperature while the wavelength is 847.6nm,and the CR could reach 5.1,the swing of driving voltage is 3.2 under the conditions of the temperature of -15.4oC while the wavelength is 846nm. A programmable driving circuit is also developed to aim at this SLM. The chip of this driving circuit, with 64×64 array, adopted the 0.35µm CMOS technique. The test results show that, the resolution of driving voltage is alterable and could up to 256-level with only 65*65µm2 pixel estate. The driving voltage swing is from 0 to VDD. It could be flip-chip bounded with Multi-quantum-well (MQW) spatial light modulator (SLM). The driving circuit meets all the requirements of the Multi-quantum-well (MQW) spatial light modulator (SLM).
Abstract: Feature recognition is the key technology in establishing auto body panel CAPP system. For regular parts, it has made great achievements in features recognition, which has laid a foundation for feature recognition for complex shape parts, such as auto body panels. This paper has classified holes feature into two-dimensional holes, three-dimensional holes and special holes according to its forming and function properties, and established process expression mode of holes feature on account of the requirement of CAPP system. Algorithms have been developed for holes feature recognition based on recognition rules making use of geometric features of holes’ boundary in UG software, two-dimensional holes and three-dimensional holes can be automatically distinguished, circle holes and non circle holes can also be differentiated automatically, further more, the algorithms can give radius of circle hole and minimum radius of curvature of shaped hole’ boundaries.
Abstract: A stencil printing process (SPP) optimization problem is studied in this paper. Due to the
limitation that neural network requires a large number of samples for the accurate model fitting, a
two-stage SPP optimization method is proposed. The design interval can be reduced with small sample
by using neural network. In this reduced design interval , response surface method is adopted to obtain
the accurate mathematical SPP model. The concept of confidence level is introduced to make the
proposed model robust. An interactive method is used to solve the model. The proposed method is
compared with the one-stage optimization method and the results show that the proposed method
achieves a better performance on each objective.
Abstract: We integrated run-based preventive maintenance (PM) into the production plan at the tactical level. The production plan was based on the single level capacitated lot-sizing problem (CLSP). We assumed the system reliability should be kept above certain threshold value to ensure the feasibility of the production plan; the reliability would be affected only by system running. Thus, PM would be triggered by the reliability requirement and the accumulated running time. We established this relationship as a nonlinear integer constraint in the joint model. We also proposed a branch and bound algorithm using CPLEX to solve the model. Finally, a numerical example was given to illustrate the difference between run-based and time-based PM.
Abstract: This study aims to investigate the changing of operational parameters and waste reducing rate, as well as the possibility of using produced composts as organic fertilizer in an on-site composting-type eco-toilet filled with mixed materials of beanstalk and sawdust as reaction matrix. During the 23-week period, change of pH was divided into three phases: acid phase (6.63-7.00), alkaline phase (9.00-9.71) and stable phase (8.10-9.00). With continuous input of feces and urine, total nitrogen, total phosphorus and total potassium contents was increased to reach 4.3%, 1.06% and 2.03%, respectively. Organic matter content decreased from 95.6% to 76.2% and the total reduction rate of dry weight increased gradually from 46.93% to 92.29%. The composts could be used as organic fertilizer at suitable concentrations. The suitable concentration for cucumber, cabbage and rape growth was obtained to be at compost ratios of 1:15-1:30, 1:15-1:20 and 1:25-1:40, respectively. Microbial utilization efficiency of human feces and urine could be improved when the mixed material of beanstalk and sawdust was used as reaction matrix in an on-sit composting-type eco-toilet. The mixed materials with beanstalk and sawdust at a volume ratio of 1:1 was found to be efficient to transform human feces and urine into organic fertilizer rich in the elements of N, P and K.
Abstract: The novel electrochemical membrane reactor for wastewater treatment was designed and introduced. As the key part of the electromembrane reactor, the tubular membrane electrode was prepared and researched. The tubular inorganic ceramic membrane was endowed with electroconductivity by the deposition of pyrolytic carbon from propylene by chemical vapor deposition. The electrocatalytic property of the membrane electrode was realized through dip-coating with chloroplatinic acid solution, drying and hydrogen reduction in order that the electrocatalyst of reduced platinum can be supported. The SEM characterization and water flux test of the membrane electrode show that membrane separation and electrocatalysis can be integrated together.
Abstract: Product modeling or prototype is an important part of new product development. After comparing the characteristics of physical model, digital prototype, and virtual prototype in new development product design, we propose to build augmented products model based on Augmented Reality technology. It has the characteristics of real-time interactivity, short production cycles, real feeling as physical prototype, and small equipment investment. Two model construction techniques are highlighted in the system developed by ARToolKit used as a development platform in the construction of augmented model. One is a direct construction technique based on OpenGL, and the other is an indirect construction technique based on 3D software and OpenGL,the virtual model is integrated into real scene in ARToolKit. Finally, implementations for the two methods are described in detail and examples are given, which indicates that the proposed augmented product modeling technique is practicable and feasible .
Abstract: Modified magnetic microspheres were prepared and used to adsorb As ( ) from aqueous solution. The experiments were conducted in a batch system to study the adsorption behavior of As( ) onto these microspheres and the adsorption equilibrium, adsorption isotherm and kinetics were also studied. The experiment results showed that the modified magnetic microspheres are effective to remove As ( ) from aqueous solution, and the percentage removal of As ( ) could reach over 90% at pH 2.0 within 90 min. The pseudo second-order model was found to fit accurately with the experimental data. The adsorption isotherm can be described by Langmuir model.
Abstract: Four novel amino-functionalized ionic liquids were prepared with high yield (80%-90%)
in a simple, straightforward, one-step synthetic method; their structures were characterized by IR,
UV, and NMR, their important physical and chemical properties have been detected. According to
the research of their application in absorbing SO2, these ionic liquids can act as promising perfect
adsorbents with the advantages of high absorption efficiency (1.06-2.50 of the MR ratio), with high
desorption efficiency of 90%-100%. In addition, it was found that these ionic liquids could be
reused without significant loss of reactivity; these ionic liquids were valuable for academic and