scholarly journals Optimization of Nanobubble-Assisted Bunker Oil Flotation from Oil-Wet Sand via Response Surface Methodology (RSM)

2015 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Lim Mee Wei ◽  
Lau Ee Von ◽  
Poh Phaik Eong
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Bubble Size ◽  
Test Results ◽  
Oil Sand ◽  
Flotation Process ◽  
Optimum Parameters ◽  
Flotation Cell ◽  
Hydrophobic Particles ◽  
Bunker Oil

Flotation technology is an effective method for the separation of oil from sand via gas-liquid-solid system. The mechanism of flotation lies in the generation of gas bubble that attaches itself to the hydrophobic particles. Therefore, one of the main parameters which could affect the efficiency of flotation is the bubble size distribution. This research aims to investigate the efficiency of nanobubbles (NBs) in the flotation process to remove high density bunker oil from oil/sand slurry in a laboratory-scale flotation cell. Experiments were carried out using NBs (approximate diameter of 200 nm) generated via ultrasonication for the flotation studies. In this investigation, four different variables including amplitude (sonication power), pH, duration of sonication (min) and input flowrate of NBs (ml/s) were studied. The second order response function was used for obtaining flotation efficiency, and was further optimized using response surface methodology (RSM) to maximize flotation efficiency within the experimentally studied range. The optimum parameters were found to be, 70% amplitude, pH 12, 10 min of flotation and an input flowrate of 57 ml/s to achieve the predicted maximum flotation efficiency of 19.83%. This was in agreement to the experimental results which show an optimum flotation efficiency of 19.98%. The test results indicated that the use of NBs alone provided unsatisfactory flotation. Even though NBs (larger surface area) are expected to increase the bubble-particle attachment and decrease the detachment probabilities, the low buoyancy/low rising velocity of NBs prevents efficient flotation despite the advantages they have. Future studies would include the optimization of bubble size to improve the flotation efficiency

scholarly journals Optimum Parameters for Extracting Three Kinds of Carotenoids from Pepper Leaves by Response Surface Methodology

Separations ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 134
Author(s):  
Nenghui Li ◽  
Jing Li ◽  
Dongxia Ding ◽  
Jianming Xie ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Dry Weight ◽  
Optimum Parameters ◽  
Order Polynomial ◽  
Pepper Leaves ◽  
New Varieties ◽  
Weak Light ◽  
Experimental Values ◽  
Optimum Extraction

To determine the optimum parameters for extracting three carotenoids including zeaxanthin, lutein epoxide, and violaxanthin from pepper leaves by response surface methodology (RSM), a solvent of acetone and ethyl acetate (1:2) was used to extract carotenoids with four independent factors: ultrasound time (20–60 min); ratio of sample to solvent (1:12–1:4); saponification time (10–50 min); and concentration of saponification solution (KOH–methanol) (10–30%). A second-order polynomial model produced a satisfactory fitting of the experimental data with regard to zeaxanthin (R2 = 75.95%, p < 0.0197), lutein epoxide (R2 = 90.24%, p < 0.0001), and violaxanthin (R2 = 73.84%, p < 0.0809) content. The optimum joint extraction conditions of zeaxanthin, lutein epoxide, and violaxanthin were 40 min, 1:8, 32 min, and 20%, respectively. The optimal predicted contents for zeaxanthin (0.823022 µg/g DW), lutein epoxide (4.03684 µg/g dry; DW—dry weight), and violaxanthin (16.1972 µg/g DW) in extraction had little difference with the actual experimental values obtained under the optimum extraction conditions for each response: zeaxanthin (0.8118 µg/g DW), lutein epoxide (3.9497 µg/g DW), and violaxanthin (16.1590 µg/g DW), which provides a theoretical basis and method for cultivating new varieties at low temperatures and weak light resistance.

scholarly journals Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1043
Author(s):  
Mohammad Askari ◽  
Yousef Abbaspour-Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Ahmed Mohamed El El Shal ◽  
Rashad Hegazy ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Vertical Load ◽  
Forward Speed ◽  
Test Results ◽  
Deep Tillage ◽  
Different Types ◽  
Rsm Model ◽  
Agricultural Tractor ◽  
Different Levels

This study aimed to evaluate the ability of the response surface methodology (RSM) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage operations. The studied parameters of tractor performance, including slippage (S), drawbar power (DP) and traction efficiency (TE), were affected by two different types of tillage tool (paraplow and subsoiler), three different levels of operating depth (30, 40 and 50 cm), and four different levels of forward speed (1.8, 2.3, 2.9 and 3.5 km h−1). Tractors drove a vertical load at two levels (225 kg and no weight) in four replications, forming a total of 192 datapoints. Field test results showed that all variables except vertical load, and different combinations of this and other variables, were effective for the S, DP and TE. Increments in speed and depth resulted in an increase and decrease in S and TE, respectively. Additionally, the RSM approach displayed changes in slippage, drawbar power and traction efficiency, resulting from alterations in tine type, depth, speed and vertical load at 3D views, with high accuracy due to the graph’s surfaces, with many small pixels. The RSM model predicted the slippage as 6.75%, drawbar power as 2.23 kW and traction efficiency as 82.91% at the optimal state for the paraplow tine, with an operating depth of 30 cm, forward speed of 2.07 km h−1 and a vertical load of 0.01 kg.

scholarly journals Optimization of parameters affecting dealcoholization of anthocyanin extract by liquid emulsion membrane using response surface methodology

2021 ◽  
Vol 19 (6) ◽  
pp. 562-574
Author(s):  
Prakash Binnal ◽  
Rajashekhara S. ◽  
Jagadish Patil
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Suitable Model ◽  
Central Composite Rotatable Design ◽  
Design Expert ◽  
Optimum Parameters ◽  
Response Surface Plot ◽  
Surface Plot ◽  
Liquid Emulsion ◽  
Central Composite

Colour is one of most important properties of foods and beverages and is a basis for their identification and acceptability. Anthocyanin from red cabbage was extracted using 50 % ethanol. The extract was dealcoholized by Liquid Emlusion Membrane technology (LEM). Parafin oil was used as a solvent, lecithin was used as a surfactant and water as stripping medium. Response surface methodology (RSM) was used to design the experiments. A total of 30 experiments were conducted in accordance with central composite rotatable design. Design expert 8 was used to design the experiments. % extraction of alcohol in each case was determined. A suitable model was fitted to experimental data by regression analysis (R-square=0.93). Response surface plot were analysed and optimum parameters for dealcoholization were found to be speed=365.44 rpm, time=18.62 min, concentration of lecithin=2.84 %, feed to emulsion ratio=3.05. A maximum dealcoholisation of 18.63 % was observed under these conditions

Optimization of photolysis of diclofenac using a response surface methodology

2013 ◽  
Vol 67 (4) ◽  
pp. 907-914 ◽  
Author(s):  
Jong-Kwon Im ◽  
Moon-Kyung Kim ◽  
Kyung-Duk Zoh
Keyword(s):  
Response Surface Methodology ◽  
Humic Acid ◽  
Response Surface ◽  
Goodness Of Fit ◽  
Environmental Parameters ◽  
Test Results ◽  
Optimal Conditions ◽  
Negative Contribution ◽  
Pareto Analysis ◽  
Determination Coefficient

This study investigates the effects of environmental parameters such as UV intensity (X1, 2.1 ∼ 6.3 mW/cm2), Fe(III) (X2, 0 ∼ 0.94 mg/L), NO3− (X3, 0 ∼ 20 mg/L) and humic acid (X4, 0 ∼ 30 mg/L) on the removal efficiency of diclofenac (DCF, Y), and optimization using a response surface methodology (RSM) based on Box–Behnken design (BBD). According to analysis of variance and t-test results (p &lt; 0.001), the proposed quadratic BBD model based on a total of 29 experimental runs fitted well to the experimental data. Moreover, the determination coefficient (R2 = 0.990) and adjusted determination coefficient (Ra2 = 0.981) indicated that this model is adequate with a high goodness-of-fit. Variables of X1, X2 and X3 had significant positive contributions (p &lt; 0.001), while X4 had significant negative contribution to the DCF removal (p &lt; 0.001). A Pareto analysis showed that X4 was the most important factor (57.18%) in DCF photolytic removal. The predicted and observed DCF removal were 94.98 and 94.2% under optimal conditions (X1 = 6.29 mW/cm2, X2 = 0.75 mg/L, X3 = 15.65 mg/L and X4 = zero), respectively. The RSM not only gives valuable information on the interactions between these photoreactive species (UV intensity, Fe(III), NO3−, and humic acid) that influence DCF removal, but also identifies the optimal conditions for effective DCF removal in water.

IMPLEMENTATION OF RESPONSE SURFACE METHODOLOGY TO CREATE AN OPTIMUM BIODIESEL POWER PLANT DERIVED FROM EMPTY FRUIT BUNCHES

2021 ◽  
pp. 1-31
Author(s):  
Somboon Sukpancharoen ◽  
poj hansirisawat ◽  
Thongchai Srinophakun
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Carbon Dioxide Emissions ◽  
Power Plants ◽  
Design Expert ◽  
Empty Fruit Bunches ◽  
Optimum Parameters ◽  
Product Separation

Abstract This study examined product separation in biodiesel power plants to optimise the process. Response Surface Methodology (RSM) was used to identify the optimum parameters for the process of separation, to maximise profitability while also reducing carbon dioxide emissions. The mass and energy balance was assessed using Aspen Plus software, while RSM was carried out with Design-Expert software. Development of the characteristic equation determined that the model for gasoline yield, power generation, and carbon dioxide emissions was significant at the 95% confidence level. The R-squared value predicted by the model was found to be 0.97–1.00. In an optimal plant, profit can rise by 3,836 USD over the year, while carbon dioxide emissions decline annually by 17.97 tons.

OPTIMIZATION OF COATING PROCESS OF HEMATITE NANO PARTICLES ON MICA FLAKES BY RESPONSE SURFACE METHODOLOGY

2008 ◽  
Vol 22 (18n19) ◽  
pp. 3225-3232
Author(s):  
M. R. TOHIDIFAR ◽  
E. TAHERI-NASSAJ ◽  
P. ALIZADEH
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nano Particles ◽  
Synthesis Process ◽  
Optimum Conditions ◽  
Synthesis Time ◽  
Variable Parameters ◽  
Whole Process ◽  
Optimum Parameters ◽  
Rsm Technique

The present paper attempts as how the pigments comprising of nano-sized hematite particles deposited on mica surfaces in optimum conditions offer an excellent pearlescent properties. To record the influencing parameters on the synthesis process, response surface methodology (RSM) technique was used where temperature of reaction, synthesis time and concentration of urea were selected as variable parameters. Taking into account colorimetric parameters, the whole process was then analyzed by "Design Expert" software that finally gave following optimum factors: reaction temperature=82.02°C, synthesis time=11.98 h, urea concentration=37.5 g/l. Once the above optimum parameters selected, seemingly, the spherical hematite particles of about 60 nm in diameter are deposited uniformly on mica surfaces.

scholarly journals Optimization of physical characteristics of bioplastics from agricultural waste using response surface methodology (RSM)

2021 ◽  
Vol 913 (1) ◽  
pp. 012055
Author(s):  
I A Widhiantari ◽  
G N De Side
Keyword(s):  
Response Surface Methodology ◽  
Heat Resistance ◽  
Physical Properties ◽  
Response Surface ◽  
Water Resistance ◽  
Agricultural Waste ◽  
Residual Value ◽  
Test Results ◽  
Optimum Conditions ◽  
Technological Advances

Abstract Rapid technological advances are in line with the increasing use of plastics. The problem faced is that plastic waste is not easily degraded by microorganisms in the soil. Bioplastics are made from renewable natural materials so that they have properties that can be broken down by microorganisms. In this study, bioplastics were made from agricultural waste containing starch, namely from jackfruit seed starch plus corncob starch. Optimization using the response surface methodology (RSM) was carried out to see the optimum conditions of the variables and also the response to the physical properties of the resulting bioplastic. The research variables used were ZnO consisting of 3, 6, and 9 percent (%) and the glycerol variable consisted of 2, 5, and 8 mL. From the test results using RSM obtained the optimum conditions of ZnO 7.42% and glycerol 4.96 mL with a residual value of 81.3612%; water resistance 86.1333%; and heat resistance of 96.888°C with a desirability value of 0.725. The combination of the basic ingredients of agricultural waste in the form of jackfruit seeds and corn cobs is able to produce bioplastics with good physical properties.

Process Optimization of Microwave Drying Sludge with Response Surface Methodology

2011 ◽  
Vol 396-398 ◽  
pp. 1269-1272 ◽  
Author(s):  
Mu Xin Han ◽  
Dong Mei Li ◽  
Yu Jie Feng ◽  
Yu Fei Tan
Keyword(s):  
Response Surface Methodology ◽  
Moisture Content ◽  
Response Surface ◽  
Microwave Drying ◽  
Tree Bark ◽  
Treatment Efficiency ◽  
Optimum Parameters ◽  
Predicted Values ◽  
Experimental Values ◽  
The Relationship

To enhance further treatment efficiency of the sludge, a process microwave drying of sludge was optimized using response surface methodology (RSM). A quadratic polynomial mathematical model was developed through Box-Behnken experimental design to describe the relationship between tested variables and moisture content of sludge. The experimental values were found to be in accordance with the predicted values, the correlation coefficient is 0.9203(P < 0.001). Estimated optimum parameters were as follows: The sludge: tree bark is 58:1, microwave power is 630w and processing time is 5.32 minutes. Under these conditions, a lowest moisture content of sludge (49.12%) after microwave drying was reached.

Optimization of a Laboratory-Scale Froth Flotation Process Using Response Surface Methodology

2005 ◽  
Vol 25 (3) ◽  
pp. 141-153 ◽  
Author(s):  
V. K. Kalyani ◽  
Pallavika ◽  
T. Gouri Charan ◽  
Sanjay Chaudhuri
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Froth Flotation ◽  
Laboratory Scale ◽  
Flotation Process
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