scholarly journals Analysis of Factors Affecting Miscanthus Pellet Production and Pellet Quality using Response Surface Methodology

BioResources ◽  
2014 ◽  
Vol 9 (2) ◽  
Author(s):  
Youn-Ho Moon ◽  
Jungwoo Yang ◽  
Bon-Cheol Koo ◽  
Jong-Woong An ◽  
Young-Lok Cha ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Pellet Quality ◽  
Factors Affecting ◽  
Pellet Production

Enhancement of protein production by microalgae Dunaliella salina under mixotrophic conditions using response surface methodology

RSC Advances ◽  
2015 ◽  
Vol 5 (48) ◽  
pp. 38141-38151 ◽  
Author(s):  
S. Kadkhodaei ◽  
S. Abbasiliasi ◽  
T. J. Shun ◽  
H. R. Fard Masoumi ◽  
M. S. Mohamed ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Transgene Expression ◽  
Protein Production ◽  
Dunaliella Salina ◽  
Schematic Diagram ◽  
Factors Affecting ◽  
Enhancement Of Protein Production ◽  
Mixotrophic Conditions

Schematic diagram of the upstream and downstream factors affecting transgene expression.

Performance Optimization of Cement-Fly Ash Grouting Material Based on Response Surface Methodology

2021 ◽  
Vol 1036 ◽  
pp. 337-344
Author(s):  
Lin Lin Wang ◽  
Xiang Bin Xu ◽  
Qing Song Zhang ◽  
Shi Yi Li
Keyword(s):  
Response Surface Methodology ◽  
Fly Ash ◽  
Response Surface ◽  
Performance Optimization ◽  
Reducing Agent ◽  
Sand Fly ◽  
Hydration Reaction ◽  
Factors Affecting ◽  
And Performance ◽  
Grouting Materials

Filling grouting is effective to control the overlying strata movement and surface subsidence in mining and tunnel engineering.Grouting material is used in grouting reinforcement projects. In this experiment,based on the mechanical properties of grouting materials, Expert Design and response surface methodology (RSM) is used to optimize the mix proportion of grout materials. The sand-fly ash ratio ,water reducing agent addition are researched as variables, and the 3D response surface is established between the factors and the performance indicators. Microstructure explains the mechanism of factors affecting performance indicators.The results show the relationship between factors and performance can be well fitted by RSM.The order of significance on compressive strength and solidification ratio is sand-fly ash ratio＞water reducing agent addition and the order of significant on viscosity is water reducing agent addition＞sand-fly ash ratio.Response surface methodology accurately describes the functional relationship between the target value and the design variables.Microstructure shows hydration reaction and the secondary hydration reaction of fly ash will be carried out after cement-fly ash mixed, and the addition of fly ash is especially important for grout material properties.

scholarly journals Optimization of Extraction Process and the Antioxidant Activity of Phenolics from Sanghuangporus baumii

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3850
Author(s):  
Na Zheng ◽  
Yongfei Ming ◽  
Jianzhi Chu ◽  
Shude Yang ◽  
Guochao Wu ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Choline Chloride ◽  
Deep Eutectic Solvent ◽  
Extraction Process ◽  
Extraction Yield ◽  
Fruiting Bodies ◽  
Factors Affecting ◽  
Medicinal Fungus

Sanghuangporus baumii, is a widely used medicinal fungus. The polyphenols extracted from this fungus exert antioxidant, anti-inflammatory, and hypoglycemic effects. In this study, polyphenols from the fruiting bodies of S. baumii were obtained using the deep eutectic solvent (DES) extraction method. The factors affecting the extraction yield were investigated at different conditions. Based on the results from single-factor experiments, response surface methodology was used to optimize the extraction conditions. The scavenging ability of the polyphenols on •OH, DPPH, and ABTS+ was determined. The results showed that the DES system composed of choline chloride and malic acid had the best extraction yield (6.37 mg/g). The optimal extraction parameters for response surface methodology were as follows: 42 min, 58 ℃, 1:34 solid–liquid (mg/mL), and water content of 39%. Under these conditions, the yield of polyphenols was the highest (12.58 mg/g). At 0.30 mg/mL, the scavenging ability of the polyphenols on •OH, DPPH, and ABTS+ was 95.71%, 91.08%, and 85.52%, respectively. Thus, the method using DES was more effective than the conventional method of extracting phenolic compounds from the fruiting bodies of S. baumii. Moreover, the extracted polyphenols exhibited potent antioxidant activity.

scholarly journals Optimization and modelling of Cd(II) removal from aqueous solution with composite adsorbent prepared from Alternanthera philoxeroides biochar and bentonite by response surface methodology

BioResources ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 9413-9428
Author(s):  
Yande Jing ◽  
Xuan Wang ◽  
Dan Wang ◽  
Qianqian Yang
Keyword(s):  
Response Surface Methodology ◽  
Aqueous Solutions ◽  
Response Surface ◽  
Xrd Analysis ◽  
Alternanthera Philoxeroides ◽  
X Ray Diffraction ◽  
Composite Adsorbent ◽  
Factors Affecting ◽  
Initial Concentration ◽  
Adsorbent Dosage

The current study aimed to optimize Cd(II) removal from aqueous solutions by a composite adsorbent (BCB) prepared from Alternanthera philoxeroides (AP) biochar (BC) and bentonite (BE) using response surface methodology (RSM). The results showed that the loading of BE did not significantly change the microstructure of BC but increased the number of functional groups. The X-ray diffraction (XRD) analysis showed that precipitation was the primary mechanism of Cd(II) adsorption. The adsorption behavior for Cd(II) fitted the Freundlich model. The pH, adsorbent dosage, and initial Cd(II) concentration were the main influencing factors affecting Cd(II) adsorption. There were significant interactions between pH and adsorbent dosage, adsorbent dosage, and initial concentration. The optimum adsorption conditions for Cd(II) with the maximum adsorption level of 89.4% were: 6.55 pH, 0.04 g adsorbent dosage, and 68.7 mg∙L-1 initial concentration. Overall, the BCB exhibited great potential as an efficient sorbent for the Cd(II) removal from aqueous solutions.

scholarly journals FACTORS AFFECTING REFRIGERATOR-FREEZERS ENERGY CONSUMPTION

2017 ◽  
Vol 19 (2) ◽  
pp. 57-67 ◽  
Author(s):  
R. Saidur Saidur ◽  
H.H. Masjuki ◽  
T.M.I. Mahlia ◽  
A.R. Nasrudin
Keyword(s):  
Mathematical Model ◽  
Response Surface Methodology ◽  
Energy Consumption ◽  
Response Surface ◽  
Room Temperature ◽  
Combined Effect ◽  
Factors Affecting ◽  
Door Opening ◽  
Several Variables ◽  
The Mathematical Model

Two frost-free household refrigerator-freezers, one with 492 liter capacity and one with 460 liter capacity were tested in the laboratory to determine the sensitivity of several variables those influence consumption refrigerator-freezers energy consumption greatly. The effects of single variables such as room temperature, thermostat setting positions, and door openings on the energy  consumption were investigated. Using Response Surface Methodology (RSM), a mathematical model has been developed to investigate the combined effect of room temperature, thermostat setting positions, and door opening on the energy consumption of refrigerator-freezers. From the mathematical model, it has been observed that room-temperature has the highest effect on the energy consumption followed by the thermostat setting position. The door opening has lowest on the energy consumption. More detailed tests were performed under different room temperature, thermostat setting positions, and door opening conditions and presented in this paper.

scholarly journals Multi-Response Optimization of Process Parameter in Fused Deposition Modelling by Response Surface Methodology

2019 ◽  
Vol 8 (3) ◽  
pp. 327-338 ◽  
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Ambient Temperature ◽  
Response Surface ◽  
Layer Thickness ◽  
Dimensional Accuracy ◽  
Fused Deposition Modelling ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Fused Deposition

This paper reported on the effect of ambient temperature, layer thickness, and part angle on the surface roughness and dimensional accuracy. The response surface methodology (RSM) was employed by using historical data in the experiment to determine the significant factors and their interactions on the fused deposition modelling (FDM) performance. Three controllable variables namely ambient temperature (30 °C, 45 °C, 60 °C), layer thickness (0.178 mm, 0.267 mm, 0.356 mm) and part angle (22.5°, 45°, 67.5°) have been studied. A total of 29 numbers of experiments had been conducted, including two replications at the center point. The results showed that all the parameter variables have significant effects on the part surface roughness and dimensional accuracy. Layer thickness is the most dominant factors affecting surface roughness. Meanwhile, the ambient temperature was the most dominant in determining part dimensional accuracy. The responses of various factors had been illustrated in the cross-sectional sample analysis. The optimum parameter required for minimum surface roughness and dimensional accuracy was at ambient temperature 30 °C, layer thickness 0.18 mm and part angle 67.38°. The optimization has produced maximum productivity with RaH 3.21 µm, RaV 11.78 µm, and RaS 12.79 µm. Meanwhile, dimensional accuracy height eror 3.21%, width error 3.70% and angle 0.38°

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