Preparation and Process Optimization of LLDPE/EVA/Modified Nano-ZnO Composites

2011 ◽  
Vol 236-238 ◽  
pp. 1803-1806
Author(s):  
Jia Liu ◽  
Shun Xiang Li
Keyword(s):  
Tensile Strength ◽  
Surface Modification ◽  
Process Optimization ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Pso Algorithm ◽  
Experiment Data ◽  
Nano Zno ◽  
Optimal Velocity ◽  
Better Than

The mechanism and method were deduced on surface modification of nano-ZnO by titanate coupling agent. EVADPE/ZnO nanocomposite material was prepared, and the tensile strength was tested. Three relatively optimal groups of process parameters were obtained by orthogonal experiment, BP-GA model and BP-PSO model respectively, in which the parameter obtained through BP-GA model was equal to that obtained through BP-PSO model. The iterative times of BP-PSO algorithm were smaller than that of BP-PSO algorithm. With analysis, it was showed that the group of process parameters obtained by BP-GA model and BP-PSO model based on the orthogonal experiment data were much better than that group obtained by orthogonal experiment. The optimal velocity of BP-PSO algorithm was faster than that of BP-PSO model.

Preparation and Properties of LLDPE/EVA/Nano-ZnO Composites

2011 ◽  
Vol 183-185 ◽  
pp. 1864-1868
Author(s):  
Jia Liu ◽  
Shu Sheng Jia
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Optimization Method ◽  
Step Method ◽  
Swarm Optimization ◽  
Nano Zno ◽  
Fracture Elongation ◽  
Better Than

The process parameters of LLDPE/EVA/nano-ZnO composites were optimized by two methods. Samples were prepared under the better process parameters. The dispersion morphology and the mechanical properties of material were studied by Field Emission Scanning Electron Microscope (FESEM). And the mechanical properties of LLDPE/EVA/nano-ZnO composites were tested. It was showed that the optimization method based on neural network of BP and particle swarm optimization was better than that optimization method based on orthogonal experiment. The nanoeffect of ZnO particles was exerted which were distributed in LLDPE/EVA matrix, which result in the effect of reinforcing and toughening. Two-step method was better than direct dispersing method. The tensile strength was the highest when nano-ZnO amount was 3% under the two-step, the tensile strength was increased up to about 22%, and the fracture elongation rate was increased up to about 11%.

NDBEPR PROCESS OPTIMIZATION IN SBRs: REDUCTION OF EXTERNAL CARBON-SOURCE AND OXYGEN SUPPLY

1994 ◽  
Vol 30 (4) ◽  
pp. 169-179 ◽  
Author(s):  
Carl Demuynck ◽  
Peter Vanrolleghem ◽  
Carine Mingneau ◽  
Jan Liessens ◽  
Willy Verstraete
Keyword(s):  
Process Optimization ◽  
Phosphorus Removal ◽  
Numerical Optimization ◽  
Cost Savings ◽  
Operating Costs ◽  
Nitrification Rate ◽  
Aeration Time ◽  
Time Scheduling ◽  
Better Than ◽  
The Ideal

In SBR plants for nutrient removal it is often necessary to add supplementary rbCOD during the anoxic phase to obtain complete nitrogen removal. In addition to the aeration, this supply of high-quality BOD is a non-negligible part in the operating costs. Because of the complexity of the bighly interconnected biological processes a heuristic approach for process optimization is hardly possible. Therefore the Nitrification Denitrification Biological Excess Phosphorus Removal (NDBEPR) model of Wentzel et al. and a numerical optimization a1goritbm were used to optimize SBR time scheduling, i.e. minimize both effluent concentrations and operating costs. It was found that a sequence of short aerobic/anoxic phases appears to be better than the usual sequence (one aerobic phase followed by one anoxic phase). This result was validated on a 500 I scale SBR. The optimized process saves up to 50% on extra BOD supply and up to 30% on aeration time. Moreover, it was shown that these cost savings were not at the expense of the phosphorus removal efficiency or the nitrification rate. From an additional numerical optimization it was seen that the ideal SBR time scheduling may depend on the loading. Therefore. a control strategy hased on OUR and ORP measurements is proposed.

Effect of the Enzymatic Hydrolysis on Starch Properties

2015 ◽  
Vol 723 ◽  
pp. 701-704
Author(s):  
Jing Li
Keyword(s):  
Tensile Strength ◽  
Enzymatic Hydrolysis ◽  
Corn Starch ◽  
Modified Starch ◽  
Starch Granules ◽  
Compound Structure ◽  
Starch Properties ◽  
Better Than

In this article, corn starch was modified by α-amylase with different hydrolytic time (30, 60, 90 and 120 min) and the effects of modification technology on its properties of viscosity, compound structure and mechanical were studied. The result showed that structure of modified starch was conserved with hydrolytic time increased, whereas tensile strength were increased and viscosity was decreased. The performance of modified starch that hydrolyzed by 30 min was better than others and pinholes were generated in the surface of starch granules

Application of Orthogonal Test in Numerical Simulation of Glass Lens Molding

2012 ◽  
Vol 497 ◽  
pp. 245-249
Author(s):  
Dao Cheng Zhang ◽  
Ke Jun Zhu ◽  
Yong Jian Zhu ◽  
Shao Hui Yin ◽  
Jian Wu Yu
Keyword(s):  
Process Parameters ◽  
Orthogonal Experiment ◽  
Fem Simulation ◽  
Orthogonal Test ◽  
Test Method ◽  
Testing Time ◽  
Molding Process ◽  
Glass Lens ◽  
Lens Molding ◽  
Process Factors

Glass lens molding is a high-volume fabrication method for producing optical components. In this paper, combined with the orthogonal test method and finite element method (FEM) simulation, the coupled thermo-mechanical analysis was carried out to analyze the key process factors. In order to reduce the testing time, an orthogonal test with three sets of level factors and three parameters is conducted to obtain the optimal molding process parameters. The result shows that the most significant parameter is molding velocity, the other effect parameters are molding temperature and friction coefficient. According to the previous analysis of orthogonal experiment, it is shown that the best optimal finishing process parameters were A2B1C1.

Test Methods for Mechanical Properties of Structural Adhesives

2010 ◽  
Vol 97-101 ◽  
pp. 814-817 ◽  
Author(s):  
Jun Deng
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Shear Strength ◽  
Elastic Modulus ◽  
Butt Joint ◽  
Test Methods ◽  
Joint Specimen ◽  
Lap Shear ◽  
Better Than

One of the greatest drawbacks to predicting the behaviour of bonded joints has been the lack of reliable data on the mechanical properties of adhesives. In this study, methods for determining mechanical properties of structural adhesive were discussed. The Young’s modulus, Poisson’s ratio and tensile strength of the adhesive were tested by dogbone specimens (bulk form) and butt joint specimens (in situ form). The shear modulus and shear strength were test by V-notched specimens (bulk form) and thick adherend lap-shear (TALS) joint specimens (in situ form). The test results show that the elastic modulus provided by the manufacturer is too low, the dogbone specimen is better than the butt joint specimen to test the tensile strength and elastic modulus and the TALS joint specimen is better than the V-notched specimen to test the shear strength.

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