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.

Empirical Modeling of High-Speed WEDM Finishing in Gas

2012 ◽  
Vol 486 ◽  
pp. 503-508 ◽  
Author(s):  
Yu Mei Lu ◽  
Tong Wang ◽  
Chao Qun Wang ◽  
Cheng Wen Wang
Keyword(s):  
Regression Model ◽  
High Speed ◽  
High Reliability ◽  
Cutting Speed ◽  
Process Models ◽  
Empirical Modeling ◽  
Pulse Interval ◽  
Five Factors ◽  
Pulse On Time ◽  
Wedm Process

This paper aims at getting the finishing process models in HS-WEDM in gas. Using cutting speed and the roughnessRaas index, the five factors of pulse-on time, peak current, offset, pulse interval ratio and worktable feed were chosen in dry finishing. The effects of the five factors and their interaction on cutting speed and the Surface roughnessRaand empirical models for cutting speed and roughnessRawere developed by performing a designed experiment based on the central composite design (CCD) experiments, significant order influencing cutting speed and roughness were found. The results of the verification test show thatRaRegression Model and Cutting Speed Regression Model have high reliability, and can achieve significant prediction effect, more accurate mathematical models are provided for the further HS-WEDM process research.

Experimental Study on Dry WEDM Finishing

2010 ◽  
Vol 455 ◽  
pp. 190-193 ◽  
Author(s):  
Tong Wang ◽  
Feng Qiu ◽  
C.Q. Wang ◽  
G.Z. Zhang ◽  
Xiao Cun Xu
Keyword(s):  
Experimental Study ◽  
Surface Roughness ◽  
Pulse Duration ◽  
Material Removal Rate ◽  
Material Removal ◽  
High Speed ◽  
Removal Rate ◽  
Cutting Speed ◽  
Machining Parameters ◽  
Dry Wedm

Comparing with conventional WEDM in emulsion, dry finishing of high-speed WEDM (HS-WEDM) has advantages such as higher material removal rate, better surface roughness and straightness. Authors have presented a new procedure as gas-liquid combined multiple cut, in which roughing is processed in dielectric liquid, and semi-finishing is in liquid or gas, while finishing is in gas. For better understanding the effect of machining parameters on surface roughness and cutting speed in dry finishing, a L25(56) Design was implemented. The analysis of variance shows that the effect of pulse duration on surface roughness is of high significance, and peak current is of significance respectively, and the effect of no load worktable feed on cutting speed is high significant.

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.

scholarly journals Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester

2020 ◽  
Vol 189 ◽  
pp. 01010
Author(s):  
Jinkun Pan ◽  
Jianning Yuan ◽  
Lei Shi ◽  
Yutong Zhang ◽  
Zixian Guo
Keyword(s):  
Regression Model ◽  
Loss Rate ◽  
Optimal Parameter ◽  
Parameters Optimization ◽  
Test Results ◽  
Evaluation Indexes ◽  
Surface Method ◽  
Verification Test ◽  
Rotary Speed ◽  
Central Composite

In order to find the optimal combination of the picking unit parameters of the brush-rolling cotton harvester, the parameters optimization experiment were carried out. Taking the rotary speed of brush roller, the working velocity, and the number of brush plates as the experimental factors, the collect rate and the loss rate of struck cotton as the performance evaluation indexes, the quadratic regression orthogonal rotational combing design experiment was carried out. The Central Composite Design response surface method was used to establish the regression model of experimental factors and evaluation indexes, and analyze the influence of each factor on evaluation indexes. Using multi-objective optimization, the optimal parameter combination is as follows: the rotary speed of the brush roller is 350 r/min, the working velocity is 0.5 m/s, the number of brush plates is 6 rows. After the optimization test, the collect rate is 95.58%, and the loss rate of struck cotton is 1.22%. The field verification test shows that the collect rate of 4MSG-3 brush-rolling cotton harvester is 92.86%, and the loss rate of struck cotton is 1.26%. The relative error between verification test results and parameter optimization value is less than 5%, which verifies the reliability of the regression model. This study provides a theoretical basis for optimizing and improving the picking unit’s parameters of the brush-rolling cotton harvester.

Application of Uniform Design in Experiments of WEDM in Gas

2012 ◽  
Vol 426 ◽  
pp. 11-14 ◽  
Author(s):  
Tong Wang ◽  
Shu Qiang Xie ◽  
Xiao Cun Xu ◽  
Q. Chen ◽  
X.C. Lü ◽  
...  
Keyword(s):  
Surface Roughness ◽  
High Speed ◽  
Removal Rate ◽  
Uniform Design ◽  
Cutting Speed ◽  
Pulse Interval ◽  
Machining Parameters ◽  
Regression Equations ◽  
Interval Ratio ◽  
Parameter Values

Comparing with conventional WEDM in emulsion, dry finishing of high-speed WEDM (HS-WEDM) has advantages such as higher material removal rate, better surface roughness and straightness. Authors have presented a new procedure as gas-liquid combined multiple cut, in which roughing is processed in dielectric liquid, and semi-finishing is in liquid or gas, while finishing is in gas. For better understanding the effect of machining parameters on surface roughness(Ra) and cutting speed (Vw) in dry finishing, a L25(56) Design test was implemented. The analysis of variance shows that offset and wire length are not significant on Ra and Vw. In this paper, the other four significant parameters, such as pulse duration, pulse interval ratio, peak current and no load worktable feed, were selected as factors in Uniform Design test. The final regression equations for Ra and Vw in terms of the actual parameter values were calculated out with MATLAB. Regression statistics of values R2 imply the two regression equtions fit well with test data and Model F-Values imply the two models are significant. Values t and α for regression equation coefficient tests of Ra and Vw show the major impacting items and interactions between them.

Response surface central composite design optimization of soluos dumpsite leachate treatment using agricultural biowaste

2021 ◽  
Vol 1 (2) ◽  
pp. 026-034
Author(s):  
Lukumon Salami ◽  
Lukman Bakare
Keyword(s):  
Regression Model ◽  
Central Composite Design ◽  
Design Optimization ◽  
Response Surface ◽  
Contact Time ◽  
Second Order ◽  
Coefficient Of Determination ◽  
Leachate Treatment ◽  
Percentage Removal ◽  
Central Composite

Process optimization plays a very important role in the process industries as it helps to miximise desire output by minimizing the cost of process variables. The aim of this work is to carry out response surface central composite design optimization of Soluos dumpsite leachate treatment using agricultural biowaste. Leachate collected from Soluos dumpsite in Lagos was treated using adsorbent prepared from Muas sapientum peels by studying the effects of adsorbent dosage and contact time on the percentage removal of total dissolved solids (TDS) with the aid of design expert software version 10.0.3. The developed second order regression model was adopted in comparison with the linear and two factor interaction ( ) model based on its coefficient of determination (R2) value and its adequacy by analysis of variance (ANOVA). 80.34 percentage removal of TDS was achieved under experimental process at contact time of 120 mins and dosage of 1 g/100mL while 81.134 percentage removal of TDS was obtained under simulation process at contact time of 63.469 mins and dosage of 0.994 g/100 mL. the values obtained under simulation condition were adopted as the optimum conditions. The developed second order regression model predicted the experimental data up to 98.10 percent confidence level hence it is a true representation of the treatment process and can be used to navigate the design space and optimization process of treatment of Soluos dumpsite leachate.

Development of Sertaconazole Nitrate Loaded Nanostructured Lipid Carriers Gel Using Central Composite Design: In-vitro and Ex-vivo Evaluation

2020 ◽  
Vol 10 ◽  
Author(s):  
Moreshwar Patil ◽  
Pallavi Bhagade ◽  
Meghana Amale ◽  
Sandeep Sonawane ◽  
Sanjay Kshirsagar
Keyword(s):  
Drug Release ◽  
Central Composite Design ◽  
Total Lipid ◽  
High Speed ◽  
Ex Vivo ◽  
Entrapment Efficiency ◽  
Nanostructured Lipid Carriers ◽  
Topical Formulation ◽  
Central Composite

Aim: The aim of this study was to develop effective topical antifungal formulation containing sertaconazole nitrate. Background: Sertaconazole nitrate, topical antifungal was incorporated in solid-liquid lipid nanostructures and gelled further for topical application. Objective: The objective of this investigation was to develop a topical formulation containing sertaconazole nitrate which was incorporated in the solid state of matrix to prolong the release in deep skin infection and hence reduce the application frequency. Methods: The nanostructured lipid carriers of sertaconazole nitrate were developed by high speed homogenization followed by ultrasonication using Estosoft-GTS® (glyceryl tristearate) as a solid lipid, oleic acid as liquid lipid and Tween 80 as an emulsifier. Central composite design was used to optimize total lipid concentration and fraction of liquid lipid in the total lipid and its effect on entrapment efficiency and drug release was determined. Results: The carrier particles had an average size of 366.3 nm; entrapment efficiency in between 50.66% to 87.36%; cumulative drug release up to 92.90% and zeta potential of 7.43 mV. Characterization by FTIR indicated no negative interaction between drug and excipients, XRD showed disappearance of crystalline peaks of the encapsulated drug while DSC revealed complete solubilization of the drug. About 99.6% of drug was estimated by HPLC method. The drug release from gel and cream was 25.04% and 72.97% respectively. The lipid and gel excipients did not interfere with antifungal activity of the drug. Conclusion: The developed nanocarriers loaded gel were stable. It prolonged the drug release (for 24 hours) than marketed cream. It could be a promising concept for topical delivery of antifungal and anti-inflammatory materials.

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.

Optimization of the Submerged Fermentation Conditions of Ganoderma Lucidum with High Triterpenoids Production by Response Surface Analysis

2012 ◽  
Vol 621 ◽  
pp. 259-262
Author(s):  
Mei Lin Cui ◽  
Guo Qing He
Keyword(s):  
Regression Model ◽  
Central Composite Design ◽  
Yeast Extract ◽  
Submerged Fermentation ◽  
Ganoderma Lucidum ◽  
Fermentation Conditions ◽  
Independent Variables ◽  
Extract Concentration ◽  
Set Up ◽  
Central Composite

In this paper, yeast extract concentration, incubation days and inoculation was made as independent variables, the production of intracellular triterpenoids, intracellular polysaccharides and mycelia biomass were made as response values, we set up central composite design of three factors and three levels. Through the analysis of the regression model, we could see that when yeast extract concentration was 1.91%, the inoculation was 14.99% and the incubation days was 4.24d, the production of intracellular triterpenoids, intracellular polysaccharides and mycelia biomass was 100.654 mg/100ml, 58.5968 mg/100ml, 2.39258 g/100ml, respectively.

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