Performance evaluation of a novel method of frost prevention and retardation for air source heat pumps using the orthogonal experiment design method

2016 ◽  
Vol 169 ◽  
pp. 696-708 ◽  
Author(s):  
Jinchen Tang ◽  
Guangcai Gong ◽  
Huan Su ◽  
Fanhao Wu ◽  
Cila Herman
Keyword(s):  
Performance Evaluation ◽  
Design Method ◽  
Orthogonal Experiment ◽  
Experiment Design ◽  
Heat Pumps ◽  
Orthogonal Experiment Design ◽  
Novel Method

scholarly journals Performance Optimization of High Specific Speed Centrifugal Pump Based on Orthogonal Experiment Design Method

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 728 ◽  
Author(s):  
Li ◽  
Ding ◽  
Shen ◽  
Jiang
Keyword(s):  
Centrifugal Pump ◽  
Performance Optimization ◽  
Design Method ◽  
Orthogonal Experiment ◽  
Three Dimensional ◽  
Experiment Design ◽  
Three Dimensional Model ◽  
Pump Design ◽  
Orthogonal Experiment Design ◽  
Specific Speed

A high specific speed centrifugal pump is used in the situation of large flow and low head. Centrifugal pump parameters need to be optimized in order to raise its head and efficiency under off-design conditions. In this study, the orthogonal experiment design method is adopted to optimize the performance of centrifugal pump basing on three parameters, namely, blade outlet width b2, blade outlet angle β2 and blade wrap angle φ. First, the three-dimensional model of the centrifugal pump is established by CFturbo and SolidWorks. Then nine different schemes are designed by using orthogonal table, and numerical simulation is carried out in CFX15.0. The final optimized combination of parameters is b2 = 24 mm, β2 = 24°, φ = 112°. Under the design condition, the head and efficiency of the optimized centrifugal pump are appropriately improved, the increments of which are 0.74 m and 0.48%, respectively. However, the efficiency considerably increases at high flow rates, with an increase of 6.9% at 1.5 Qd. The anti-cavitation performance of the optimized centrifugal pump is also better than the original pump. The results in this paper can provide references for parameter selection (b2, β2, φ) in the centrifugal pump design.

scholarly journals The Assessment of Cutting Force with Taguchi Design in Medium Carbon Steel–Applied Spheroidization Heat Treatment

2017 ◽  
Vol 50 (4) ◽  
pp. 89-96 ◽  
Author(s):  
Şehmus Baday ◽  
Hüdayim Başak ◽  
Fikret Sönmez
Keyword(s):  
Cutting Force ◽  
Feed Rate ◽  
Cutting Forces ◽  
Design Method ◽  
Orthogonal Experiment ◽  
Experiment Design ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Orthogonal Experiment Design ◽  
Medium Carbon

In this study, the analysis of cutting forces on medium carbon AISI 1050—to which different spheroidization heat treatments were applied—was conducted by the mixed-level Taguchi orthogonal experiment design method. In the experiments, besides the parameters of feed rate, depth of cut and cutting speed having effect on cutting forces as a factor in orthogonal design, the spheroidization time and temperature parameters were also used. By the performed orthogonal experiment design method, the values of cutting forces were estimated using the five-factor, two- and three-leveled Taguchi L36 (22 × 33) mixed orthogonal experiment design method. The effectiveness of the machining parameters on the cutting force was revealed by performing analysis of variance test. Moreover, the effectiveness rates of the parameters were also determined in the study as per the signal noise rates. Consequently, it has been observed that the feed rate is more effective on the cutting forces compared to other parameters.

Modeling of the Calcareous Intercalation in WZ Oilfield

2014 ◽  
Vol 1073-1076 ◽  
pp. 2292-2295
Author(s):  
Ye Chun Lao ◽  
Mao Li ◽  
Xiao Lei ◽  
Meng Ying Dai
Keyword(s):  
Spatial Distribution ◽  
Design Method ◽  
Orthogonal Experiment ◽  
Simulation Method ◽  
Experiment Design ◽  
Orthogonal Experiment Design ◽  
Object Based ◽  
Major Factors

Interlayer is one of the major factors which results in the heterogeneity of reservoir, and it is the important content of reservoir fine characterization. In this paper, taking WZ oilfield as an example, the object-based simulation method is used to characterize the spatial distribution regularity of calcareous intercalation and sand-stone, design the experiment scheme through the orthogonal experiment design method and analysis the factors that influence the distribution of interlayer. Results showed that the object-based simulation method can characterize the shape of calcareous intercalation very well, and the orthogonal experiment design can distinguish the influence of various factors.

Optimization on Resistance Microwelding Procedure of Fine Copper Wire Based on Orthogonal Experiment Design

2011 ◽  
Vol 418-420 ◽  
pp. 1448-1451 ◽  
Author(s):  
Ping Chen ◽  
Zhong Ning Guo ◽  
Bing Hua Mo
Keyword(s):  
Design Method ◽  
Copper Wire ◽  
Orthogonal Experiment ◽  
Thin Sheet ◽  
Welding Current ◽  
Experiment Design ◽  
Surface Appearance ◽  
Orthogonal Experiment Design ◽  
Weld Time ◽  
Fine Copper

In this paper, an orthogonal experiment design method has been used to optimize the resistance microwelding (RMW) parameters for the fine copper wire and SUS304 stainless steel thin sheet welds. A L25(56) orthogonal array for three factors (welding current, weld time and electrode force) with five levels was used. Joint breaking force (JBF) and surface appearance were selected as the index of evaluation. The results show that welding current was the most influencing parameter on both joint strength and surface appearance, and weld time had the next most significant effect. The orthogonal experiment design method was proved to be a promising technique to obtain the optimum conditions for RMW of fine copper wire.

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.

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