scholarly journals Applied Orthogonal Experiment Design for the Optimum Extraction Conditions of High Concentration Selenium from Maifanite

Detection ◽  
2017 ◽  
Vol 05 (01) ◽  
pp. 1-4 ◽  
Author(s):  
Hailin Liao ◽  
Lingfeng Jiang ◽  
Chunjie Wei ◽  
Hua Huang ◽  
Jing Pan ◽  
...  
Keyword(s):  
Orthogonal Experiment ◽  
Experiment Design ◽  
High Concentration ◽  
Orthogonal Experiment Design ◽  
Optimum Extraction

Orthogonal Experiment Analysis of Mechanical Thermal Conductivity on Multi-Component Fillers

2013 ◽  
Vol 753-755 ◽  
pp. 2379-2382
Author(s):  
Shi Meng Xu ◽  
Run Bo Ma ◽  
Jian Hua Du ◽  
Jun Hong Liu ◽  
Qi Jin
Keyword(s):  
Mechanical Properties ◽  
Thermal Conductivity ◽  
Carbon Black ◽  
Orthogonal Experiment ◽  
Experiment Design ◽  
Rubber Composites ◽  
Orthogonal Experiment Design ◽  
Rubber Composite ◽  
Al Powder ◽  
Experiment Analysis

Filled the N330 carbon black, silica T80 carbon black and Al powder and Fe2O3 magnetic nanoparticles, the rubber composites on multi-component electromagnetic fillers were prepared according to orthogonal experiment analysis, and the preliminary experiment conclusions of the filler prescription designs were given; Based on the experiment design, the mechanical properties and thermal conductivity of the rubber composite were tested, and the testing results were analyzed by using variance analysis. Thus, the paper shows that the effects of N330 on rubber mechanical properties are significant, and the effects of Al powder on the rubber thermal conductivity are significant. Moreover, it is highly emphasized in this paper that the orthogonal experiment design must be carefully explored before the tests are executed.

Orthogonal Experiment Design of Numerical Simulation for Underground Oil Storage Caverns

2008 ◽  
Vol 26 (3) ◽  
pp. 270-277
Author(s):  
Z. Y. Wang ◽  
Y. P. Li ◽  
B. Han ◽  
S. T. Guo ◽  
S. L. Cheng
Keyword(s):  
Numerical Simulation ◽  
Orthogonal Experiment ◽  
Experiment Design ◽  
Orthogonal Experiment Design ◽  
Oil Storage

scholarly journals Optimization of vane demister based on neural network and genetic algorithm

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983510 ◽  
Author(s):  
San He ◽  
Hang Liu ◽  
Yongli Zou ◽  
Qinqin Zhang
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Pressure Drop ◽  
Chemical Engineering ◽  
Separation Efficiency ◽  
Orthogonal Experiment ◽  
Structural Parameters ◽  
Experiment Design ◽  
Orthogonal Experiment Design ◽  
Operation Parameters

A vane demister is widely used for separating tiny droplets from gas streams in the petroleum industry, chemical engineering, and other industries. To obtain optimal structure and operation parameters, a method based on orthogonal experiment design is often adopted. However, in most cases, results from an orthogonal experiment design are suboptimal solutions when there are fewer experiments to optimize the vane demister performance. In this study, to obtain the maximum separation efficiency and minimum pressure drop, Fluent software was used to simulate the two-phase flow of gas and liquid in vane demister with different structural parameters and operation parameters, generating 473 solutions as the sample database. Based on this database, a back propagation neural network was used to establish the prediction model for the separation efficiency and pressure drop, and a genetic algorithm was used for multi-target optimization of this model. The optimization results were compared to Fluent simulation results and the orthogonal experiment design results. The results show that a genetic algorithm generates better results. The optimal separation efficiency of both methods is 100%. However, the optimal pressure drop of the genetic algorithm is 25.77% lower than that of the orthogonal experiment design.

Orthogonal Experiment Study on the Hydrogen Desorption Properties of NaAlH4 and LiAlH4

1994 ◽  
Vol 115-116 ◽  
pp. 1-38 ◽  
Author(s):  
J. van Ek ◽  
A. Lodder
Keyword(s):  
Milling Time ◽  
Orthogonal Experiment ◽  
Weight Ratio ◽  
Hydrogen Desorption ◽  
Experiment Design ◽  
Variance Analysis ◽  
Range Analysis ◽  
Orthogonal Experiment Design ◽  
Optimum Performance ◽  
Orthogonal Experiments

Orthogonal experiment design and variance analysis were adopted to investigate the hydrogen desorption properties of NaAlH4and LiAlH4, which consisted of three stages, ball-milled under argon. Optimum milling condition was very important for the performance of NaAlH4and LiAlH4, which was obtained from the orthogonal experiments. The orthogonal experiment design considered three experimental factors, i.e. weight ratio of ball to power, weight ratio of ɸ8 ball to ɸ4 ball and milling time, which varied on three different levels, respectively. According to the range analysis and variance analysis from the orthogonal experiments, the weight ratio of ball to powder and ɸ8 ball to ɸ4 ball had more impacts on the hydrogen desorption time of NaAlH4,while the most sensitive influencing factor of LiAlH4was milling time. NaAlH4had the optimum performance when the weight ratio of ball to power was 30:1, the weight ratio of ɸ8 ball to ɸ4 ball was 0.5:1 and milling time was 0.5h. LiAlH4had the optimum performance when the weight ratio of ball to power was 40:1, the weight ratio of ɸ8 ball to ɸ4 ball was 0.5:1 and milling time was 2h.

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