Investigation on process parameters of flexible stretch forming process using orthogonal experiment design

2013 ◽  
Author(s):  
Pan Liu ◽  
Tae-Wan Ku ◽  
Jeong Kim ◽  
Beom-Soo Kang
Keyword(s):  
Process Parameters ◽  
Orthogonal Experiment ◽  
Experiment Design ◽  
Stretch Forming ◽  
Forming Process ◽  
Orthogonal Experiment Design

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.

scholarly journals Design of Hydraulic Bulging Die for Automobile Torsion Beam and Optimization of Forming Process Parameters

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Kefan Yang ◽  
Youmin Wang ◽  
Kexun Fu
Keyword(s):  
Friction Coefficient ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Die Design ◽  
Molding Pressure ◽  
Hydraulic Pressure ◽  
Forming Process ◽  
Torsion Beam ◽  
Supporting Pressure ◽  
Hydraulic Bulging

The hydraulic bulging technology of tubes can provide hollow parts with special-shaped cross sections. Its manufacturing process can effectively improve material utilization and product accuracy and reduce the number and cost of molds. However, the hydraulic bulging process of parts is very complicated. The size of the tube blank, the design of the loading route, and the forming process parameters will have an effect on the molding quality. Closed tubular torsion automobile beam is considered as the research object to study hydraulic bulging die design and optimize forming process parameters. CATIA software is used to design torsion beam product structure and hydraulic bulging die. AMESim software is employed to design hydraulic synchronous control system for cylinders on both sides of the hydraulic bulging die. Mathematical control model is established and verified in Simulink software. DYNAFORM software is applied to conduct numerical simulation of hydraulic expansion. The supporting pressure, molding pressure, friction coefficient, and feeding quantity are taken as orthogonal experiment level factors. Maximum thinning and maximum thickening rates are taken as hydraulic pressure expansion evaluation indexes to complete the orthogonal experiments. Main molding process parameters are analyzed via orthogonal experiment results and optimized by employing the Taguchi method. Optimal hydraulic bulging parameters are obtained as follows: supporting pressure of 20 MPa, molding pressure of 150 MPa, feeding quantity of 25 mm, and friction coefficient of 0.075. Simulation analysis results indicate that the maximum thinning rate is equal to 9.013%, while the maximum thickening rate is equal to 16.523%. Finally, the design of hydraulic bulging die for torsion beam was completed, and its forming process parameters were optimized.

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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