Optimization and experimental design by response surface method for reactive extraction of glutaric acid

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Anuj Kumar ◽  
Pranay Mohadikar ◽  
Fiona Mary Anthony ◽  
Diwakar Z. Shende ◽  
Kailas L. Wasewar ◽  
...  
Keyword(s):  
Experimental Design ◽  
Response Surface ◽  
Glutaric Acid ◽  
Extraction Efficiency ◽  
Fermentation Broth ◽  
Maximum Efficiency ◽  
Surface Model ◽  
Environment Friendly ◽  
Independent Variables ◽  
Reactive Separation

Abstract Glutaric acid is an attractive chemical compound which can be used for the manufacturing of polyesters, polyamides, and polyols. It can be produced by the synthesis (chemical method) and fermentation (biological method) process. Glutaric acid is presented with the lowest quantity in the fermentation broth and industrial waste streams. The separation methods of glutaric acid are difficult, costly, and non-environment friendly from fermentation broth. Reactive separation is a simple, cheapest, and environment-friendly process for the recovery of carboxylic acid. Which can be employed for the separation of glutaric acid with lower cost and environment-friendly process. In this study, response surface methodology (RSM) was used as a mathematical technique to optimize and experimental design for investigation of the reactive separation of glutaric acid from the aqueous phase. As per RSM study, 20 experiments with different independent variables such as concentration of glutaric acid, % v/v of trioctylamine, and pH for recovery of glutaric acid were performed. The optimum condition with maximum efficiency (η) 92.03% for 20% trioctylamine and pH = 3 at 0.08 mol/L of glutaric acid initial concentration were observed. The lower concentration of trioctylamine provides sufficient extraction efficiency of glutaric acid. This method can also be used for the separation from fermentation broth because a lower concentration of trioctylamine which makes this process environment-friendly. The optimization condition-defined quadratic response surface model is significant with R 2 of 0.9873. The independent variables defined the effect on the extraction efficiency of glutaric acid. This data can be used for the separation of glutaric acid from industries waste and fermentation broth.

scholarly journals Interpolation of Turbulent Boundary Layer Profiles Measured in Flight Using Response Surface Methodology

2018 ◽  
Vol 8 (11) ◽  
pp. 2320 ◽  
Author(s):  
Hidemi Takahashi ◽  
Mitsuru Kurita ◽  
Hidetoshi Iijima ◽  
Monami Sasamori
Keyword(s):  
Boundary Layer ◽  
Mach Number ◽  
Turbulent Boundary Layer ◽  
Response Surface ◽  
Flight Test ◽  
Response Surface Model ◽  
Surface Model ◽  
Number Range ◽  
Independent Variables ◽  
Surface Method

Turbulent boundary layer profiles on the aircraft surface were characterized by pitot-rake measurements conducted in flight experiments at high subsonic Mach number ranges. Due to slight variations in atmospheric air conditions or aircraft attitudes, such as angles of attack and absolute flight speeds at different flights even under the same premised flight conditions, the boundary layer profiles measured at different flights can exhibit different shape and velocity values. This concern leads to difficulty in evaluating the efficiency of using some kind of drag-controlling device such as riblets in the flight test, since the evaluation would be conducted by comparing the profiles measured with and without using riblets at different flights. An approach was implemented to interpolate the boundary layer profile for a flight condition of interest based on the response surface method, in order to eliminate the influence of the flight conditional difference. Results showed that the interpolation with the 3rd-degree response surface model with a combination of two independent variables of flight Mach number and total pressure successfully eliminated the influence of the flight conditional difference, and interpolated the boundary layer profiles measured at different flights within an inaccuracy of 4.1% for the flight Mach number range of 0.5 to 0.78.

scholarly journals Using recirculating flumes and a response surface model to investigate the role of hyporheic exchange and bacterial diversity on micropollutant half-lives

2019 ◽  
Vol 21 (12) ◽  
pp. 2093-2108 ◽  
Author(s):  
Anna Jaeger ◽  
Claudia Coll ◽  
Malte Posselt ◽  
Jonas Mechelke ◽  
Cyrus Rutere ◽  
...  
Keyword(s):  
Experimental Design ◽  
Response Surface ◽  
Bacterial Diversity ◽  
Response Surface Model ◽  
Hyporheic Exchange ◽  
Surface Model

A flume experimental design to test effects of hyporheic exchange and bacterial diversity on the fate of micropollutants in rivers.

scholarly journals Obtaining process of interpolymeric complexes from lactalbumin, xanthan gum and pectin

2014 ◽  
Vol 17 (3) ◽  
pp. 213-220 ◽  
Author(s):  
Virginia Coimbra Zuvanov ◽  
Edwin Elard Garcia-rojas ◽  
Clitor Júnior Fernandes de Souza ◽  
Eliana da Silva Gulão ◽  
Luciano José Barreto Pereira
Keyword(s):  
Experimental Data ◽  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Xanthan Gum ◽  
Optimization Process ◽  
Coefficient Of Determination ◽  
Optimum Conditions ◽  
Independent Variables ◽  
Nacl Concentration

In this work, the optimization process of interpolymeric complexes formation between lactalbumin and the polysaccharides xanthan gum and pectin was studied in order to define the optimum conditions for the complexes formation. For the experimental design, response surface methodology (RSM) for three independent variables was used. The optimum conditions for the complexes formation between lactalbumin and xanthan gum were: pH 6.6, NaCl concentration of 0.6 mol/L and xanthan gum concentration 0.083% w/v. And for the complexes formed between pectin and lactalbumin the conditions were: pH 6.6, NaCl concentration of 0.25 mol/L and pectin concentration of 0.113% w/v. The best fitted model for the experimental data was that corresponding to the complex xanthan gum-lactalbumin, whose coefficient of determination (R²) was 0.97.

Optimization of Ultrasonic Extraction of Total Flavonoids from Litchi (Litchi chinensis Sonn.) Seed by Response Surface Methodology

2013 ◽  
Vol 634-638 ◽  
pp. 1495-1501 ◽  
Author(s):  
Li Jing Lin ◽  
Xiao Bing Huang ◽  
Ji Hua Li ◽  
Yao Min Zhou ◽  
Yong Fu Tang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Processing Parameters ◽  
Methanol Concentration ◽  
Extraction Time ◽  
Surface Model ◽  
Total Flavonoids ◽  
Extraction Temperature ◽  
Independent Variables ◽  
Interaction Terms

The ultrasonic technology was applied to optimize the processing parameters of extraction of flavonoids from litchi seed using the response surface methodology. The Box–Behnken design was used to analyze the effect of independent variables including extraction temperature (X1), methanol concentration (X2) and extraction time (X3) on the yield of total flavonoids as the dependent variable(Y). The analysis of variance (ANOVA) indicated that three independent variables, their quadratic terms and interaction terms showed a significant effect on yield of total flavonoids (YTF) except the interaction between X1and X2. A mathematical model with high determination coefficient was constructed, according to which the optimal extraction conditions were determined as follows: extraction temperature 70°C, methanol concentration 68%, extraction time 70 min. Under the above-mentioned condition, the experimental value of YTF was 3.55 g catechin equivalent per 100 g of dry (g CE/100 g ), which agreed with the predicted value perfectly, demonstrating the response surface model was suitable in optimizing the extraction of flavonoids from litchi seed.

scholarly journals Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques

Membranes ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 70
Author(s):  
Jasir Jawad ◽  
Alaa H. Hawari ◽  
Syed Javaid Zaidi
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Forward Osmosis ◽  
Feed Solution ◽  
Operating Conditions ◽  
Ann Model ◽  
Membrane Flux ◽  
Input Variables ◽  
Rsm Model

The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) and response surface methodology (RSM) have become popular for the modeling and optimization of membrane processes. RSM requires the data on a specific experimental design whereas ANN does not. In this work, a combined ANN-RSM approach is presented to predict and optimize the membrane flux for the FO process. The ANN model, developed based on an experimental study, is used to predict the membrane flux for the experimental design in order to create the RSM model for optimization. A Box–Behnken design (BBD) is used to develop a response surface design where the ANN model evaluates the responses. The input variables were osmotic pressure difference, feed solution (FS) velocity, draw solution (DS) velocity, FS temperature, and DS temperature. The R2 obtained for the developed ANN and RSM model are 0.98036 and 0.9408, respectively. The weights of the ANN model and the response surface plots were used to optimize and study the influence of the operating conditions on the membrane flux.

scholarly journals Parametric Analysis on Landing Gear Strut Friction of Light Aircraft for Touchdown Performance

2021 ◽  
Vol 11 (12) ◽  
pp. 5445
Author(s):  
Shengyong Gan ◽  
Xingbo Fang ◽  
Xiaohui Wei
Keyword(s):  
Response Surface ◽  
Energy Absorption ◽  
Landing Gear ◽  
Surface Model ◽  
Absorption Properties ◽  
Surface Method ◽  
Design Variables ◽  
Landing Impact ◽  
Landing Response ◽  
Parametric Studies

The aim of this paper is to obtain the strut friction–touchdown performance relation for designing the parameters involving the strut friction of the landing gear in a light aircraft. The numerical model of the landing gear is validated by drop test of single half-axle landing gear, which is used to obtain the energy absorption properties of strut friction in the landing process. Parametric studies are conducted using the response surface method. Based on the design of the experiment results and response surface functions, the sensitivity analysis of the design variables is implemented. Furthermore, a multi-objective optimization is carried out for good touchdown performance. The results show that the proportion of energy absorption of friction load accounts for more than 35% of the total landing impact energy. The response surface model characterizes well for the landing response, with a minimum fitting accuracy of 99.52%. The most sensitive variables for the four landing responses are the lower bearing width and the wheel moment of inertia. Moreover, the max overloading of sprung mass in LC-1 decreases by 4.84% after design optimization, which illustrates that the method of analysis and optimization on the strut friction of landing gear is efficient for improving the aircraft touchdown performance.

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