OPTIMIZATION OF THE MECHANICAL STRENGTH PROPERTIES OF POLY(L-LACTIDE)/MULTI-WALLED CARBON NANOTUBE SCAFFOLDS USING RESPONSE SURFACE METHODOLOGY

NANO ◽  
2011 ◽  
Vol 06 (02) ◽  
pp. 113-122 ◽  
Author(s):  
HASSAN ADELI ◽  
SHARIF HUSSEIN SHARIF ZEIN ◽  
SOON HUAT TAN ◽  
ABDUL LATIF AHMAD
Keyword(s):  
Response Surface Methodology ◽  
Carbon Nanotube ◽  
Mechanical Strength ◽  
Response Surface ◽  
Process Parameters ◽  
Response Strength ◽  
Strength Properties ◽  
Quadratic Model ◽  
Factors Affecting ◽  
Multi Walled Carbon Nanotube

In this study the response surface methodology (RSM) coupled with the central composite design (CCD) were used to optimize the mechanical strength properties of poly(L-lactide)/multi-walled carbon nanotube (MWCNT) scaffolds. The scaffolds were prepared by the freeze-extraction method. MWCNTs were incorporated into PLLA composite as a reinforcement agent in order to improve the strength properties of the scaffolds. The effect of process parameters such as ratio of PLLA/(PLLA + MWCNT) (93–100%), solvent amount (100–200 ml), freezing time (5–7 h) and immersing time (2–4 days) were studied using the design of experiment (DOE). Based on CCD, quadratic model was obtained and developed to correlate the process parameters to the strength of the scaffolds. An analysis of variance (ANOVA) was applied to determine the significant factors affecting the experimental design response (strength) of the scaffolds. The predicted values after optimization process were in good agreement with the experimental values. The model was able to accurately predict the response of strength with less than 5% error.

Multi-objective Optimization of UV Spot Curing Technique of Slider - Suspension Attachment Process Using Response Surface Methodology Approach

2021 ◽  
Author(s):  
Santi Pumkrachang
Keyword(s):  
Response Surface Methodology ◽  
Shear Strength ◽  
Response Surface ◽  
Process Parameters ◽  
Epoxy Adhesive ◽  
Quadratic Model ◽  
Uv Curable ◽  
Multi Objective ◽  
Validation Experiment ◽  
Cure Time

The ultraviolet (UV) curing of slider-suspension attachment is going to change from a manual to an automated process. As a result, the bonding parameters of adhesive between slider and suspension needs to be optimized. This paper aims to study two output responses of the UV curable epoxy adhesive i.e., shear strength force and pitch static attitude (PSA) of the joint between slider and suspension in a head gimbal assembly (HGA). Four process parameters were investigated using response surface methodology (RSM) based on face-centered central composite design (FCCD). The RSM was applied to establish a mathematical model to correlate the significance of process parameters and the responses. Then the based multi-objective was applied to determine a quadratic model and obtained the output maximization at 224 g of shear strength force and PSA value close to the target at 1.8 degrees. The input process parameters were optimized at 0.7 s of UV bottom cure time, 120 °C of UV dual side temperature, 5.0 s of UV dual side cure time, and 230 μm of adhesive dot size. The validation experiment showed a prediction response error of less than 7% of the actual value.

scholarly journals Enhancing a clenbuterol immunosensor based on poly(3,4-ethylenedioxythiophene)/multi-walled carbon nanotube performance using response surface methodology

RSC Advances ◽  
2018 ◽  
Vol 8 (28) ◽  
pp. 15522-15532 ◽  
Author(s):  
Nurul Ain A. Talib ◽  
Faridah Salam ◽  
Nor Azah Yusof ◽  
Shahrul Ainliah Alang Ahmad ◽  
Mohd Zulkhairi Azid ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Carbon Nanotube ◽  
Response Surface ◽  
Carbon Electrode ◽  
Screen Printed Carbon Electrode ◽  
Multi Walled Carbon Nanotube ◽  
Screen Printed

A clenbuterol immunosensor was developed with a poly(3,4-ethylenedioxythiophene)/multi-walled carbon nanotube-modified screen-printed carbon electrode and optimized using response surface methodology.

scholarly journals Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 588
Author(s):  
Poh Gaik Law ◽  
Noor Haida Sebran ◽  
Ashraf Zin Zawawi ◽  
Azlan Shah Hussain
Keyword(s):  
Response Surface Methodology ◽  
Ethylene Glycol ◽  
Response Surface ◽  
Process Parameters ◽  
Quadratic Function ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Mass Ratio ◽  
Empty Fruit Bunches ◽  
Binary Catalyst

Statistical-based study using response surface methodology (RSM) was conducted to study the effects of process parameters towards biomass hydrogenation. Using Malaysian oil palm empty fruit bunches (EFB) fibres as feedstock, the central composite design (CCD) technique was employed and 18 runs were generated by CCD when four parameters (mass ratio of binary catalyst, hydrogen pressure, temperature and mass ratio of catalyst to feedstock) were varied with two center points to determine the effects of process parameters and eventually to get optimum ethylene glycol (EG) yield. RSM with quadratic function was generated for biomass hydrogenation, indicating all factors except temperature, were important in determining EG yield. Analysis of variance (ANOVA) showed a high coefficient of determination (R2) value of >0.98, ensuring a satisfactory prediction of the quadratic model with experimental data. The quadratic model suggested the optimum EG yield should be >25 wt.% and the EG yield results were successfully reproduced in the laboratory.

Optimization of process parameters in magnetic field assisted powder mixed EDM of aluminium 6061 alloy

2020 ◽  
pp. 095440622095910
Author(s):  
Arun Kumar Rouniyar ◽  
Pragya Shandilya
Keyword(s):  
Magnetic Field ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Discharge Current ◽  
Electrical Discharge Machining ◽  
Desirability Function ◽  
Fine Powder ◽  
Quadratic Model ◽  
Electrode Wear

Magnetic field assisted powder mixed electrical discharge machining (MFAPM-EDM) is a variant of EDM process where magnetic field coupled with electric field is used with addition of fine powder in dielectric to improve the surface quality, machining rate and stability of the process. Aluminium 6061 alloy as workpiece was selected due to growing use in aviation, automotive, naval industries. In this present work, parametric study and optimization was carried out on MFAPM-EDM machined Aluminium 6061 alloy. In this study, process parameters such as discharge current (IP), spark duration (PON), pause duration (POFF), concentration of powder (CP) and magnetic field (MF) were considered to analyze the effect on material erosion rate (MER) and electrode wear rate (EWR). Box Behnken design approach based on response surface methodology (RSM) was utilized for performing the experiments. Quadratic model to predict the MER and EWR were developed using response surface methodology. Discharge current has most significant effect of 50.176% and 36.36% on MER and EWR, respectively among all others process parameters. Teacher-learning-based optimization (TLBO) was employed for determining the optimal process parameters for maximum MER and minimal EWR. The results obtained with TLBO was compared with well-known optimization methods such as genetic algorithm (GA) and desirability function of RSM. Minimum EWR (0.1021 mm3/min) and maximum MER (30.4687 mm3/min) obtained using TLBO algorithm for optimized process parameters was found to better as compared to GA and desirability function.

scholarly journals Application of response surface methodology for color removing from dyeing effluent using de-oiled activated algal biomass

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Samar A. El-Mekkawi ◽  
Rehab A. Abdelghaffar ◽  
Fatma Abdelghaffar ◽  
S. A. Abo El-Enin
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Industrial Development ◽  
Industrial Effluents ◽  
Quadratic Model ◽  
Activation Process ◽  
Prime Concern ◽  
Desirability Approach ◽  
Dyeing Effluent

Abstract Background Conservation of the ecosystem is a prime concern of human communities. Industrial development should adopt this concern. Unfortunately, various related activities release lots of noxious materials concurrently with significant leakage of renewable resources. This work presents a new biosorbent activated de-oiled microalgae, Chlorella vulgaris, (AC) for biosorption of Acid Red 1 (AR1) from aqueous solution simulated to textile dyeing effluent. The biosorption characteristics of AC were explored as a function of the process parameters, namely pH, time, and initial dye concentration using response surface methodology (RSM). Results Optimization is carried out using the desirability approach of the process parameters for maximum dye removal%. The ANOVA analysis of the predicted quadratic model elucidated significant model terms with a regression coefficient value of 0.97, F value of 109.66, and adequate precision of 34.32 that emphasizes the applicability of the model to navigate the design space. The optimization depends on the priority of minimizing the time of the process to save energy and treating high concentrated effluent resulted in removal % up to 83.5%. The chemical structure and surface morphology of AC, and the dye-loaded biomass (AB) were characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray analysis (EDX), and transmission electron microscope (TEM). The activation process transforms the biomass surface into a regular and small homogeneous size that increases the surface area and ultimately enhances its adsorption capacity Conclusion The optimization of the process parameters simultaneously using RSM performs a high-accurate model which describes the relationship between the parameters and the response through minimum number of experiments. This study performed a step towards an integrated sustainable solution applicable for treating industrial effluents through a zero-waste process. Using the overloaded biomass is going into further studies as micronutrients for agricultural soil.

scholarly journals Optimization of peak current of poly(3,4-ethylenedioxythiophene)/multi-walled carbon nanotube using response surface methodology/central composite design

RSC Advances ◽  
2017 ◽  
Vol 7 (18) ◽  
pp. 11101-11110 ◽  
Author(s):  
Nurul Ain A. Talib ◽  
Faridah Salam ◽  
Nor Azah Yusof ◽  
Shahrul Ainliah Alang Ahmad ◽  
Yusran Sulaiman
Keyword(s):  
Response Surface Methodology ◽  
Carbon Nanotube ◽  
Central Composite Design ◽  
Response Surface ◽  
Electrode Surface ◽  
Electrodeposition Technique ◽  
Peak Current ◽  
Multi Walled Carbon Nanotube ◽  
Central Composite

Modification of electrode surface with poly(3,4-ethylenedioxythiophene)/multi-walled carbon nanotube (PEDOT/MWCNT) composite prepared by electrodeposition technique was reported in this study.

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