scholarly journals Improving Water Distribution Uniformity by Optimizing the Structural Size of the Drive Spoon Blades for a Vertical Impact Sprinkler

2020 ◽  
Vol 12 (18) ◽  
pp. 7574
Author(s):  
Pan Tang ◽  
Chao Chen ◽  
Hong Li
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Water Distribution ◽  
Design Method ◽  
Uniformity Coefficient ◽  
Application Rates ◽  
Experimental Design Method ◽  
Distribution Uniformity ◽  
The One ◽  
Vertical Impact

The aim of this study is to improve the water distribution uniformity of a vertical impact sprinkler and explore the design method of the drive spoon blades. The width of straight blades (h1), the width of curved blades (h2) and number of blades (s) were chosen as the experiential variables. The suitable ranges of three variables for response surface method were determined initially by one-factor experimental design method, and 17 different drive spoons were designed according to response surface methodology. The results showed that in the one-factor experimental condition, the CU (Christiansen’s uniformity coefficient) values first increased and decreased slightly when h1 exceeded 3 mm with the increase of h1 within the variation range of the experimental factor. The CU values firstly increased and then decreased with the increase of h2. The CU values decreased rapidly when s was less than 3 or greater than 6. The relationship between CU values and h1, h2 and s was established using response surface methodology. The p-values for h1, h2 and s were 0.0359, 0.0092, 0.0212, and all of the selected factors were significant on CU. The order of parameters affecting CU were h2, h1 and s. The ideal parameters for the drive spoon blades were h1 = 6 mm, h2 = 4 mm, and s = 3. CU was greatly improved after the optimization of structure for the drive spoon blades, which increased to 87.96% from 73.12%. After optimization, the application rates within 1 to 5 m were improved and increased from 10% to 15% with an average of 10.7% under different operating pressures. The maximum application rates decreased from 9.3, 9.3, 9.4 and 8.4 mm·h−1 to 8.5, 8.4, 8.5 and 7.9 mm·h−1 with operating pressures of 300, 400, 500 and 600 kPa, respectively. The maximum application rates in the overlap area were decreased from 18, 16, 16 and 15 mm·h−1 to 16, 14, 14 and 12 mm·h−1 with operating pressures of 300, 400, 500 and 600 kPa, respectively.

scholarly journals Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

2017 ◽  
Vol 36 (1) ◽  
Author(s):  
Ali Ayati ◽  
Ali Zeraatkar Moghaddam ◽  
Bahareh Tanhaei ◽  
Fatemeh Deymeh ◽  
Mika Sillanpaa
Keyword(s):  
Response Surface Methodology ◽  
Methyl Orange ◽  
Response Surface ◽  
Removal Efficiency ◽  
Design Method ◽  
Linear Optimization ◽  
Adsorption Parameters ◽  
Statistical Parameters ◽  
Magnetic Chitosan ◽  
Experimental Design Method

In this work, the adsorption process of methyl orange (MO) removal by a magnetic chitosan with an Al2O3/Fe3O4 core was optimized using the experimental design method in order to maximize the removal efficiency. Response surface methodology (RSM) based on central composite design (CCD) was performed to find the relationship between the effective adsorption parameters on the MO removal efficiency as the response. The statistical parameters of the derived model were acquired: R2 = 0.9799 and F value = 47.07. Finally, non-linear optimization was carried out and values of 6.5, 0.70 g l–1, 30 ppm, and 60 min were obtained as the optimum values for pH, adsorbent dosage, initial concentration, and contact time, respectively, while the predicted MO removal efficiency was found to be 96.8 ± 2.2% (with a 95% confidence level). This was in agreement with the experimental response of 96.5 ± 1.4%.

scholarly journals Optimization design of heat pipe heat exchanger using response surface methodology

2021 ◽  
Vol 261 ◽  
pp. 01030
Author(s):  
Shuai Pu ◽  
Wei Huang
Keyword(s):  
Response Surface Methodology ◽  
Heat Exchanger ◽  
Heat Pipe ◽  
Response Surface ◽  
Optimization Design ◽  
Design Method ◽  
Surface Model ◽  
Experimental Design Method ◽  
Input Variables ◽  
Pipe Heat

In this paper, Optimization design of heat pipe heat exchanger (HPHX) is processed utilizing the Response Surface Methodology (RSM). The response surface model was built by regressive analysis using Latin hypercube experimental design method and numerical simulation. Through response surface analysis, it is found that the two input variables affecting the performance of HPHX are the heat pipe pitch and the Inlet and outlet distance. Moreover, the maximum value of the overall performance factor on the response surface is searched using genetic algorithm, and the optimal values of four input variables are obtained.

scholarly journals Optimization of Eugenol Extraction from Clove Oil using Response Surface Methodology

2015 ◽  
Vol 9 (11) ◽  
pp. 68
Author(s):  
Widayat Widayat ◽  
Hadiyanto Hadiyanto ◽  
Bambang Cahyono ◽  
Ngadiwiyana Ngadiwiyana
Keyword(s):  
Response Surface Methodology ◽  
Optimum Condition ◽  
Central Composite Design ◽  
Response Surface ◽  
Design Method ◽  
Main Process ◽  
Clove Oil ◽  
Design Variables ◽  
Central Composite

The objective of this research was to obtain optimum condition of eugenol production from clove oil using a central composite design method. The main process occured in the eugenol production was saphonification and neutralization processes. In order to optimize these processes, the ratio of NaOH/clove oil and temperature were studied as design variables i.e. ratio of NaOH/clove oil=1:2.5-1:3.5 while temperature was varied between 40 and 60oC. The yield of eugenol was considered as the main response in of this experiment. The result showed that the optimum condition was achieved when the temperature and the ratio of NaOH/clove oil were 50oC and 2.75:1, respectively and the yield was 39.17%.<br />

scholarly journals Water Distribution Uniformity in Driping System Under Growing Pressures

2019 ◽  
Vol 7 (11) ◽  
pp. 14-21
Author(s):  
JHONATAN PIAZENTIN ◽  
João Luis Zocoler ◽  
Camila Pires Cremasco ◽  
Alfredo Bonini Neto ◽  
Luís Roberto Almeida Gabriel Filho
Keyword(s):  
Flow Rate ◽  
Water Distribution ◽  
High Efficiency ◽  
Environmental Cost ◽  
Agricultural Systems ◽  
Uniformity Coefficient ◽  
Number Of Factors ◽  
Cost Reductions ◽  
Use Efficiency ◽  
Distribution Uniformity

Increasing water use efficiency in agricultural systems is critical as it results in economic and environmental cost reductions, especially in localized irrigation, which depends on a number of factors, especially the flow rate of the emitters and proper uniformity of water distribution, both with respect to direct with the pressure of the emitters For this evaluation the use of coefficients of water uniformity, it is essential to indicate the best wetness management. The experiment was carried out in the Irrigation laboratory, in a test stand, using Christiansen uniformity coefficient - CUC, distribution uniformity coefficient - CUD and statistical uniformity coefficient - CUE. In the irrigation line, four pressures on the drip emitter (5, 10, 15 and 20 mca) were applied. The pressure variations obtained did not reduce the efficiency of the uniformity of water distribution by the drip system, falling into high efficiency ranges for all evaluated coefficients, representing adequate wetting rates.

scholarly journals Optimisation of micro W-bending process parameters using I-optimal design-based response surface methodology

2021 ◽  
Vol 8 ◽  
pp. 7
Author(s):  
Xiaoyu Liu ◽  
Xiao Han ◽  
Shiping Zhao ◽  
Yi Qin ◽  
Wan-Adlan Wan-Nawang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Response Surface ◽  
Process Parameters ◽  
Design Method ◽  
Dimensional Accuracy ◽  
Foil Thickness ◽  
Optimum Process ◽  
Proposed Model ◽  
Bending Process

There is an increasingly recognised requirement for high dimensional accuracy in micro-bent parts. Springback has an important influence on dimensional accuracy and it is significantly influenced by various process parameters. In order to optimise process parameters and improve dimensional accuracy, an approach to quantify the influence of these parameters is proposed in this study. Experiments were conducted on a micro W-bending process by using an I-optimal design method, breaking through the limitations of the traditional methods of design of experiment (DOE). The mathematical model was established by response surface methodology (RSM). Statistical analysis indicated that the developed model was adequate to describe the relationship between process parameters and springback. It was also revealed that the foil thickness was the most significant parameter affecting the springback. Moreover, the foil thickness and grain size not only affected the dimensional accuracy, but also had noteworthy influence on the springback behaviour in the micro W-bending process. By applying the proposed model, the optimum process parameters to minimize springback and improve the dimensional accuracy were obtained. It is evident from this study that the I-optimal design-based RSM is a promising method for parameter optimisation and dimensional accuracy improvement in the micro-bending process.

Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM)

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Hongzhou Ma ◽  
Chao Yan ◽  
Yaoning Wang ◽  
Hongwei Xie
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reduction Method ◽  
Hold Time ◽  
Significant Other ◽  
Carbon Reduction ◽  
Valuable Metals ◽  
Influence Of Temperature On ◽  
The One ◽  
Zinc Hydrometallurgy

AbstractVast jarosite residue was produced from traditional zinc hydrometallurgy process in China. It is necessary to recover valuable metals from the jarosite residue. Indium is the one of them. Recovering indium from jarosite residues with carbon reduction method under the condition of vacuum was investigated. The analysis of variance was used to evaluate the influence of different factors on the volatilizing rate of indium, indicating that the influence of temperature on the volatilizing rate of indium is statistically significant. Other factors have no significant influence. Response surface methodology was used to explore the best combination of four variables and to study the effects of their interactions on the indium volatilizing rate. The results showed that there was an obvious interaction between the percent content of carbon and temperature and between the percent content of carbon and hold time, and the selected optimal conditions were 30% carbon, 13% CaO, 1000°C temperature, and 60 min hold time. Under these conditions, the indium volatilization rate was up to 98.2%.

Sign in / Sign up

Export Citation Format

Share Document