Synthesis of GMA/EDMA Uniform Pores Monolith Using Melt blown Polypropylene Nanofibers Templates

Glycidyl methacrylate / ethyl dimethacrylate (GMA/ EDMA) monoliths consisting of pores induced by polypropylene nanofibers (PPNF) were developed. For creating these pores, templating technique was used where the PPNF act as a template. The PPNF were fabricated using a melt blowing technique at various process operations of polymer flowrate, air pressure and die-to-collector distance at ranges of 15 to 30 Hz, 0.15 to 0.3 MPa and 0.20 to 0.6 m respectively designed using a response surface methodology (RSM). Subsequently, a monolith solution was synthesis using the polymerization of GMA and EDMA, with azobisisobutyronitrile (AIBN) as initiator and cyclohexanol as porogen. The PPNF and GMA/ EDMA monoliths were characterized using SEM and melting point instrument. The findings show, PPNF fiber diameter and melting points were in the range of 5 to 14 x 103 nm and 120 to 130 °C respectively. RSM analysis suggests that air pressure and die-to-collector distance could be an important factor for PPNF final diameter. Morphology studies demonstrate that GMA/ EDMA monolith have been successfully acquired mesoporous structure and creating uniform pores by PPNF template produce at 22.5 Hz, 0.22 MPa and 0.40 m. As a conclusion, the PPNF can be proposed as a template to prepare monolith having uniform pores.

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Synthesizing a surface-imprinted polymer based on the nanoreactor SBA-15 for optimizing the adsorption of salicylic acid from aqueous solution by response surface methodology

New Journal of Chemistry ◽

10.1039/d1nj00016k ◽

2021 ◽

Vol 45 (14) ◽

pp. 6192-6205

Author(s):

Haiqing Xu ◽

Yuhang Gao ◽

Qiantu Tao ◽

Aiping Li ◽

Zhanchao Liu ◽

...

Keyword(s):

Aqueous Solution ◽

Response Surface Methodology ◽

Salicylic Acid ◽

Response Surface ◽

Molecularly Imprinted Polymer ◽

Adsorption Property ◽

Mesoporous Structure ◽

Imprinted Polymer ◽

Molecularly Imprinted ◽

Ordered Mesoporous

The molecularly imprinted polymer prepared on the nanoreactor SBA-15 displayed excellent ordered mesoporous structure and superior adsorption property for salicylic acid.

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An Investigation Effects of Electrospinning Parameters: Process Optimization by Application of Response Surface Methodology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.660.140 ◽

2014 ◽

Vol 660 ◽

pp. 140-144

Author(s):

A. Mataram ◽

Ahmad Fauzi Ismail ◽

A.S. Mohruni ◽

T. Matsura

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Applied Voltage ◽

Fiber Diameter ◽

Solution Concentration ◽

Response Surfaces ◽

Nano Scale ◽

The Mean ◽

Nanoscale Fibers ◽

Parameter Interactions

Effects of material and process parameters on the electrospun polyacrylonitrile fibers were experimentally investigated. Response surface methodology (RSM) was utilized to design the experiments at the setting of solution concentration, voltage and the collector distance. It also imparted the evaluation of the significance of each parameter on pore size, contact angle, modulus young and clean water permeability. Effect of applied voltage in micron-scale fiber diameter was observed to be almost negligible when solution concentration and collector distance were high. However, all three factors were found statistically significant in the production of nano-scale fibers. The response surface predictions revealed the parameter interactions for the resultant fiber diameter, and showed that there is negative correlation between the mean diameter and coefficient of variation for the fiber diameters were in agreement with the experimental results. Response surfaces were constructed to identify the processing window suitable for producing nanoscale fibers. A sub-domain of the parameter space consisting of the solution concentration, applied voltage and collector distance, was suggested for the potential nano scale fiber production.

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Improvement of Gel Strength and Melting Point of Fish Gelatin by Addition of Coenhancers Using Response Surface Methodology

Journal of Food Science ◽

10.1111/j.1750-3841.2011.02266.x ◽

2011 ◽

Vol 76 (6) ◽

pp. E503-E509 ◽

Cited By ~ 18

Author(s):

Jayappa M. Koli ◽

Subrata Basu ◽

Binay B. Nayak ◽

Nagalakshmi Kannuchamy ◽

Venkateshwarlu Gudipati

Keyword(s):

Response Surface Methodology ◽

Melting Point ◽

Response Surface ◽

Gel Strength ◽

Fish Gelatin

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Optimization of Design for Air Gap Sensor Using the Response Surface Methodology

Applied Science and Engineering Progress ◽

10.14416/j.asep.2022.01.003 ◽

2022 ◽

Author(s):

Kitisak Chimklin ◽

Chatchapol Chungchoo

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Disk Drive ◽

Air Gap ◽

Air Pressure ◽

Sensor Module ◽

Close Relationship ◽

Coefficient Corrélation ◽

Air Nozzle ◽

Experimental Values

In Hard Disk Drive (HDD) manufacturing, there is always a concern about the cutting defects that are caused by residual cutting chips. Only a small amount of 10 μm chips (act as the air gap) can cause the workpiece to tilt and shift from the correct position, and thus affect the dimension of the workpiece (mainly the Base HDD). For this reason, researchers adapted the adjustable micrometer as a simulation device that resembles the air gap for the design of the Air Gap Sensor Module. The design of experiments using response surface methodology will be studied to confirm the appropriate factors of the prototype. This study reports the optimization of the main factors that affect Air Gap Sensor Module condition: Air Nozzle Diameter 2.303 mm, Air Pressure 0.1 MPa, and Sampling Time 645 ms, which has a high square of the coefficient correlation (R-squared = 99.0%) with a close relationship between gap distance and air pressure. The relationship between these variables is mostly linear. The R-squared error percentage of actual value is less than 0.93% compared to predicted value. The mathematical model results and experimental values were consistent and able to predict response variables. The Air Gap Sensor Module can provide the measurement results in micron ccuracy and displays light and beep to confirm as acceptable or reject gap conditions with the uncertainty of measurement ± 0.001 mm.

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Parametrization Study of Electrospun Nanofiber Including LiCl Using Response Surface Methodology (RSM) for Water Treatment Application

Applied Sciences ◽

10.3390/app10207295 ◽

2020 ◽

Vol 10 (20) ◽

pp. 7295

Author(s):

Jiyeol Bae ◽

Hyuna Kim ◽

Saerom Park ◽

Kwang Soo Kim ◽

Heechul Choi

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Feed Rate ◽

Fiber Diameter ◽

Pure Water ◽

Interactive Effect ◽

Water Flux ◽

Particle Removal ◽

Flux Measurements ◽

Pure Water Flux

The influence of the electrospinning parameters on the diameter of the polyethersulfone (PES) nanofibers was demonstrated using response surface methodology. The electrospinning parameters studied were lithium chloride (LiCl) concentration, PES concentration, feed rate, and tip-to-collector distance. The average fiber diameter was correlated to these factors by using a second-order polynomial function at a 95% confidence level. The statistical analysis indicated that LiCl concentration, PES concentration, and feed rate had the significant connection with the fiber diameter, and LiCl concentration was the most important factor in determining the fiber diameter. When LiCl concentration increased, the fiber diameter decreased, because with more LiCl that is added, more applied voltage is needed to overcome the electrostatic attractions. The interactive effect between PES concentration and feed rate, the interactive effect between PES concentration and tip-to-collector distance, and the quadratic coefficients of LiCl concentration were also found to be significant. The adjusted determination coefficient (Radj2) of the model was calculated to be 0.9106. The water flux measurements showed that the decrease in the fiber diameter of the membrane caused the decrease in the initial pure water flux. The retention tests with 0.6 μm polystyrene (PS) suspension indicated that as the fiber diameter decreased, the pore sizes decreased and the particle removal efficiency increased.

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Optimization of chitosan-polyvinylalcohol electrospinning process by response surface methodology (RSM)

e-Polymers ◽

10.1515/epoly.2010.10.1.361 ◽

2010 ◽

Vol 10 (1) ◽

Cited By ~ 4

Author(s):

A. Gholipour ◽

S. H. Bahrami ◽

M. Nouri

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Fiber Diameter ◽

Sem Analysis ◽

Electrospinning Process ◽

Morphological Properties ◽

Blend Ratio ◽

Extrusion Rate ◽

Mathematical Techniques ◽

Good Agreement

AbstractResponse Surface Methodology (RSM) is a collection of statistical and mathematical techniques useful for developing, improving, and optimizing processes. RSM was used to model and optimize the electrospinning parameters for the spinning of blend CS/PVA nanofibers. In this study, chitosan (CS)/polyvinyl alcohol (PVA) blend solutions (CS (Mw =1 X 106) in 2% acetic acid and PVA (Mw=12 X 103) in deionized water) with different blend ratio ranging from 10/90 to 50/50 were electrospun. CS/PVA (25/75) blend ratio was chosen as base and optimum ratio due to its suitable morphological properties and diameter. In a constant ratio of blend SEM analysis shows that the diameter of nanofibers changed by varying the voltage and extrusion rate in the electrospinning process. Voltage (10-25 KV) and polymer solutions extrusion rate of (0.2-1 ml/hr) from the nozzle were chosen as variables to control the fiber diameter at similar spinning distances (10 cm). Fiber diameter was correlated to production variables by using a second order polynomial function. The predicted fiber diameters were in good agreement with the experimental results.

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Use of Response Surface Methodology to Study the Influence of Water Content and Air Pressure on Cake Batter Quality

International Journal of Food Engineering ◽

10.2202/1556-3758.1195 ◽

2007 ◽

Vol 3 (6) ◽

Author(s):

Irene Allais ◽

Eric Dufour

Keyword(s):

Response Surface Methodology ◽

Linear Equation ◽

Water Content ◽

Response Surface ◽

Initial Density ◽

Air Pressure ◽

Final Temperature ◽

Influence Of Water ◽

Spreading Time ◽

Water Amount

The first aim of the study was to model the influence of water amount and air pressure on various batter properties using Response Surface Methodology. Batter quality was assessed through density, water content, colour, spreadability and fluorescence spectra. Quadratic models using two variables well represented spreading time, water content and final temperature, but they failed to fairly represent initial density, overrun and L*a*b* values. In addition, simplified models using a single variable also well represented the data: final density was modelled by a linear equation involving pressure, whereas initial density, water content and final temperature were modelled by a linear equation involving water amount. Spreading time was modelled using a quadratic equation using water amount. Experimental results were compared with expertise rules used by operators to control the industrial process. Indeed, operators often used water amount and air pressure as controlling variables. It was found that experimental results were in agreement with expertise rules. The second aim was to investigate the link between smart lab-measurement methods such as fluorescence spectroscopy and simple macroscopical properties used by operators such as water content, density, spreading time and colour. By applying hierarchical clustering analysis to NADH and tryptophan merged spectra, batter samples manufactured at various water amounts and pressure levels were clearly separated at a high level of discrimination. Neither water content nor spreading time were satisfactorily predicted from NADH or tryptophan spectra using PLS.

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