Optimization Technique using Response Surface Method for USMW process

Ganesamoorthi, B.; Kalaivanan, S.; Dinesh, R.; Kumar, T. Naveen; Anand, K.

doi:10.1016/j.sbspro.2015.03.211

Cited by 14 publications

(4 citation statements)

References 3 publications

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“…The H-rotor Darrieus VAWT has the potential to overcome the shortcomings of existing wind turbines, that is, Darrieus, Helical, and Savonius by optimizing its design parameters. [23][24][25] The present research aims to improve the performance parameters of the H-rotor Darrieus VAWT by applying design optimization using the design of experiments (DOE). The initial evaluations were made using the quality-by-testing approach, which is entirely based on experimental conditions by one factor at a time (OFAT).…”

Section: Introductionmentioning

confidence: 99%

Determination of efficient configurations of vertical axis wind turbine using design of experiments

Ahmad

Shahzad

Akram

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part A:

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This study aims to optimize the design parameters of a vertical axis wind turbine using design of experiments (DOE). Response surface methodology combined with desirability optimization was used to optimize multiple parameters such as the chord length, number of blades, aspect ratio, and pitch angle. The range of contributing parameters was selected using one factor at a time (OFAT) approach, and the performance parameters were evaluated by applying the double multiple streamtube theory. Datasets retrieved from the Q-Blade open-source software were employed in the DOE to determine the optimal configurations. Based on response surface investigation, a quadratic model was established and the accuracy of the model was determined by applying analysis of variance, goodness of fit, normal plot of residuals, and R-squared values. The optimized chord length, number of blades, pitch angle, and aspect ratio were 0.546 m, 03, −2.82°, and 0.808, respectively. The maximum power coefficient of 0.45 was obtained at a tip speed ratio of 3 from the optimized design parameters. The analysis revealed an increase of approximately 8.43% in the maximum power coefficient of the proposed wind turbine. A 3D unsteady computational fluid dynamics model along with Reynolds-Averaged Navier-Stokes equations were utilized to verify the obtained results, and a maximum difference of less than 1.5% was found. A standard H-rotor Darrieus configuration obtained from the OFAT approach was also tested at different wind speeds for comparison. The analysis revealed that when the wind speed was less than 3.85 m/sec, the standard Darrieus produced no power; however, the self-starting speed of the optimized VAWT was as low as 3.22 m/sec. This novel design methodology provides guidelines for obtaining optimum design configurations and can help in achieving high-fidelity analysis in the early design phase.

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Section: Introductionmentioning

confidence: 99%

Determination of efficient configurations of vertical axis wind turbine using design of experiments

Ahmad

Shahzad

Akram

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…RSM can be employed in the optimization of independent variables in HPLC separation [18]. RSM, as one of the statistical techniques, can be applied in optimization research using commercial software such as Minitab® [19] and Design-Expert® [20]. However, this kind of software is expensive and protected by software licensing [21].…”

Section: ■ Introductionmentioning

confidence: 99%

Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method

et al. 2020

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Soy milk, one of the soybean products, become more popular in recent years due to its benefit for human health. Biological activities of soybean products have been widely studied according to the presence of isoflavone aglycones content, including genistein, daidzein, and glycitein. Hence, it is important to develop an effective and efficient analytical method to provide guidance regarding appropriate isoflavone intake levels for soy milk. A reversed-phase high performance liquid chromatography (HPLC) method was developed and optimized in this study employed by R statistical software with the package of rsm. A C18 column was used for HPLC separation with the detection at 260 nm. Optimized condition for HPLC separation has been achieved with the mobile phase of methanol: water (63.26:36.74), a flow rate of 0.81 mL/min, and a column temperature of 45.31 °C. These conditions were applied in the HPLC system and successfully tested for the system suitability. Quantitative estimation was performed and resulted that the genistein, daidzein, and glycitein content in soy milk samples were 6.372, 6.273, and 2.853 µg/mL, respectively.

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“…This powerful statistical tool that is used to investigate the causes of process variation consists of: (i) identification of the independent variable and their levels, (ii) the selection of the experimental array and running of the experiments as designed, and (iii) the prediction, verification of the model, graphical representation, and determination of optimal process conditions, according to the desired optimal point [33,34]. The statistical technique has been applied as a strategy to investigate diverse operational [34][35][36], chemical [37][38][39], and biochemical processes [40,41].…”

Section: Introductionmentioning

confidence: 99%

Multi-Step Concanavalin A Phase Separation and Early-Stage Nucleation Monitored Via Dynamic and Depolarized Light Scattering

Brognaro

Mudogo²,

Betzel

2019

Crystals

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Protein phase separation and protein liquid cluster formation have been observed and analysed in protein crystallization experiments and, in recent years, have been reported more frequently, especially in studies related to membraneless organelles and protein cluster formation in cells. A detailed understanding about the phase separation process preceding liquid dense cluster formation will elucidate what has, so far, been poorly understood—despite intracellular crowding and phase separation being very common processes—and will also provide more insights into the early events of in vitro protein crystallization. In this context, the phase separation and crystallization kinetics of concanavalin A were analysed in detail, which applies simultaneous dynamic light scattering and depolarized dynamic light scattering to obtain insights into metastable intermediate states between the soluble phase and the crystalline form. A multi-step mechanism was identified for ConA phase separation, according to the resultant ACF decay, acquired after an increase in the concentration of the crowding agent until a metastable ConA gel intermediate between the soluble and final crystalline phases was observed. The obtained results also revealed that ConA is trapped in a macromolecular network due to short-range intermolecular protein interactions and is unable to transform back into a non-ergodic solution.

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Optimization Technique using Response Surface Method for USMW process

Cited by 14 publications

References 3 publications

Determination of efficient configurations of vertical axis wind turbine using design of experiments

Determination of efficient configurations of vertical axis wind turbine using design of experiments

Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method

Multi-Step Concanavalin A Phase Separation and Early-Stage Nucleation Monitored Via Dynamic and Depolarized Light Scattering

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