Diffuser Optimization for a Micro-Hydrokinetic Turbine

2014 ◽  
Author(s):  
Jacob Riglin ◽  
W. Chris Schleicher ◽  
Alparslan Oztekin
Keyword(s):  
Power Generation ◽  
Design Of Experiments ◽  
Regression Model ◽  
Central Composite Design ◽  
Optimization Method ◽  
Portable Power ◽  
Response Surface Optimization ◽  
Hydrokinetic Turbine ◽  
System Power ◽  
Central Composite

Small, hydrokinetic systems generating between 0.5 and 10 kW of power are potentially capable of portable power generation. A propeller turbine 18 inches in diameter is paired with a flanged diffuser and numerically simulated as a potential portable hydrokinetic system. The diffuser augmented hydrokinetic turbine (DAHkT) is investigated with a response surface optimization method, where geometric parameters of the system are systematically varied to determine their effects on the system power generation and thrust. The simulations are determined using a central composite design of experiments to minimize the number of simulations required to fit a second-order regression to the results. Potential optimum designs are determined from the regression model, further verified with simulations, and characterized for their entire operating range.

Experimental Study on High-Speed WEDM Finishing in Gas Based on Central Composite Design

2013 ◽  
Vol 662 ◽  
pp. 319-322
Author(s):  
Tong Wang ◽  
Yu Mei Lu ◽  
Chao Qun Wang ◽  
Kun Jiang ◽  
Fei Xie ◽  
...  
Keyword(s):  
Regression Model ◽  
Central Composite Design ◽  
Pulse Duration ◽  
High Speed ◽  
High Reliability ◽  
Cutting Speed ◽  
Pulse Interval ◽  
Five Factors ◽  
Verification Test ◽  
Central Composite

Using cutting speed and the roughness as index, the five factors as pulse duration, peak current, offset, ratio of pulse interval to pulse duration and worktable feed were chosen in dry finishing. Based on the single factor experiment, the central composite design (CCD) method is used to study the effects of the five factors and their interactions on cutting speed and the surface roughness and develop empirical models for cutting speed and roughness Ra. Significant order influencing cutting speed and roughness are found. The results of the verification test show that Ra regression model and cutting speed regression model have high reliability, and can achieve significant prediction effect.

Modeling of polyphenols extraction from pomegranate by-product using rotatable central composite design of experiments

2020 ◽  
Author(s):  
Zayneb Hayder ◽  
Walid Elfalleh ◽  
Khadija Ben Othman ◽  
Mohamed Ali Benabderrahim ◽  
Hédia Hannachi
Keyword(s):  
Design Of Experiments ◽  
Central Composite Design ◽  
Central Composite

scholarly journals Central Composite Design in a Refinery’s Wastewater Treatment by Air Flotation

2013 ◽  
Vol 2 (3) ◽  
pp. 245-253
Keyword(s):  
Design Of Experiments ◽  
Central Composite Design ◽  
Statistical Design ◽  
Response Surfaces ◽  
Statistical Design Of Experiments ◽  
Cationic Flocculant ◽  
Optimization Parameters ◽  
Combined Action ◽  
Design Factors ◽  
Central Composite

Water resulting from the dewatering process of petroleum storage tanks was treated in a pilot separator to investigate the effectiveness of the combined action of a coagulant (aluminum sulfate) and a cationic flocculant (NALCO 71403). Central composite design of experiments was used to construct second order response surfaces for the turbidity, suspended solids and oil content as optimization parameters. The coagulant and flocculant concentrations and pH were used as design factors. The separator constructed for this purpose proved to be suitable for fast and reliable investigation of multivariable systems and for search of the optimum via statistical design of experiments.

Fabrication of paper-based analytical devices optimized by central composite design

The Analyst ◽  
2018 ◽  
Vol 143 (9) ◽  
pp. 2102-2108 ◽  
Author(s):  
Vahid Hamedpour ◽  
Riccardo Leardi ◽  
Koji Suzuki ◽  
Daniel Citterio
Keyword(s):  
Design Of Experiments ◽  
Central Composite Design ◽  
Central Composite ◽  
Analytical Device

In this work, an application of a design of experiments approach for the optimization of an isoniazid assay on a single-area inkjet-printed paper-based analytical device (PAD) is described.

A Study on Coolant Parameters in Internal Grinding of 9CrSi Steel

2019 ◽  
Vol 950 ◽  
pp. 24-31 ◽  
Author(s):  
Le Xuan Hung ◽  
Vu Thi Lien ◽  
Vu Ngoc Pi ◽  
Banh Tien Long
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Central Composite Design ◽  
Flow Rate ◽  
Optimal Parameters ◽  
Machining Processes ◽  
Internal Grinding ◽  
Surface Method ◽  
Internal Cylindrical Grinding ◽  
Central Composite

This paper aims to analysis the effect of coolant parameters on surface roughness in internal cylindrical grinding of annealed 9CrSi steel. The concentration and flow rate of the coolant are investigated in thirteen experiments by central composite design and response surface method. The effect of each parameter and their interaction on the surface roughness are analyzed by their regression model. From that model, optimal parameters are determined to obtain the minimum surface roughness. The measured roughness matches with the predicted roughness from the regression model. This proposed is proven and it can be further applied for optimizing other machining processes.

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