Study on New Industrial Briquette Composite Binder Using Response Surface Methodology

2013 ◽  
Vol 668 ◽  
pp. 96-100
Author(s):  
Wei Zhao ◽  
Yuan Cai Li ◽  
Xing Lin Tong
Keyword(s):  
Experimental Data ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Model Building ◽  
Raw Materials ◽  
Total Probability ◽  
Bonding Mechanism ◽  
Drying Time ◽  
Composite Binder ◽  
Optimum Formula

To develop a new industrial briquette composite binder, response surface methodology was used to arrange experiments, with modified peat(MP），mixed wastes(WS)，modified clay 2(C2) and clay 1(C1) as raw materials. The experimental data was firstly processed utilizing the method of multi-factorial total probability formula evaluation. Then based on the regression analysis and model building, the optimum formula was obtained. Finally, the bonding mechanism was analyzed through a systematical study by means of both ESEM and TG-DTA. The results indicated that the briquette prepared according to the optimum formula, namely 4.4% of MP, 6.5% of WS, 2% of C1, 1% of C2, and correlative key parameters of briquetting technics, namely forming water 13%, drying temperature 180°C and drying time 2.5h had excellent performances, which could meet the demand of industrial production in enterprises.

scholarly journals Optimization of onion Juice inhibiting white-blush in fresh-cutcarrots by response surface methodology

2021 ◽  
Vol 292 ◽  
pp. 03064
Author(s):  
Jiani Lu ◽  
Xiaoning Jiang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Raw Materials ◽  
Process Conditions ◽  
Drying Time ◽  
Soaking Time ◽  
Fresh Cut ◽  
Reference Index ◽  
Physiological And Biochemical

The effect of onion juice on the whitening of fresh-cut carrots during storage was explored to optimize the processing technology of fresh-cut carrots. Using fresh carrot and onion as raw materials and whiteness value as reference index, the process parameters were optimized by response surface methodology (RSM) based on single factor experiment, and the physiological and biochemical indexes were determined. Results showed that the process conditions optimized by response surface processing of fresh-cut carrot onion were as follows: the concentration of the onion juice for 75%, soaking time for 15 min, spin-drying time for 60s. Under this condition, for the fresh-cut carrot, whiteness value theoretical value was 30.51, and the actual whiteness value was 31.26±0.5. After verification, the model was established and the fit worked well. The quality of fresh-cut carrots treated with onion juice was better. This study laid a scientific foundation for the inhibition of whitening of fresh-cut carrot.

scholarly journals Experimental data on the removal of phenol by electro-H2O2 in presence of UV with response surface methodology

MethodsX ◽  
2019 ◽  
Vol 6 ◽  
pp. 1188-1193 ◽  
Author(s):  
Mohammad Malakootian ◽  
Alireza Nasiri ◽  
Mehrdad Khatami ◽  
Hakimeh Mahdizadeh ◽  
Pouria Karimi ◽  
...  
Keyword(s):  
Experimental Data ◽  
Response Surface Methodology ◽  
Response Surface

Optimization of Synthesis Technology of Acetylferrocene by Response Surface Methodology

2012 ◽  
Vol 622-623 ◽  
pp. 162-165
Author(s):  
Da Wei Yin ◽  
Gang Tao Liang ◽  
Xiao Ming Sun ◽  
Yu Ting Liu
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Acetyl Chloride ◽  
Raw Materials ◽  
Raw Material ◽  
Interactive Effects ◽  
Percentage Yield ◽  
Experimental Yield ◽  
Central Composite

Acetylferrocene was synthesized by acetyl chloride and ferrocene as raw materials, dichloromethane as the solvent, and ZnO as catalyst. Response surface methodology based on three-level, three-variable central composite rotable design was used to evaluate the interactive effects of the ratio of acetyl chloride and ferrocene(2-4), the amount of ZnO(1.0-1.3mol), reaction time(30-60 min)on the percentage yield of acylferrocene. The optimal raw material ratio, amount catalyst, and reaction time was 3:1, 1.19mol, 40min. Under the optimum conditions, the actual experimental yield can reach 86.72%.

scholarly journals Modeling and Optimization for Konjac Vacuum Drying Based on Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1430
Author(s):  
Zhiheng Zeng ◽  
Ming Chen ◽  
Xiaoming Wang ◽  
Weibin Wu ◽  
Zefeng Zheng ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Vacuum Drying ◽  
Ann Model ◽  
Drying Process ◽  
Drying Time ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

To reveal quality change rules and establish the predicting model of konjac vacuum drying, a response surface methodology was adopted to optimize and analyze the vacuum drying process, while an artificial neural network (ANN) was applied to model the drying process and compare with the response surface methodology (RSM) model. The different material thickness (MT) of konjac samples (2, 4 and 6mm) were dehydrated at temperatures (DT) of 50, 60 and 70 °C with vacuum degrees (DV) of 0.04, 0.05 and 0.06 MPa, followed by Box–Behnken design. Dehydrated samples were analyzed for drying time (t), konjac glucomannan content (KGM) and whiteness index (WI). The results showed that the DT and MT should be, respectively, under 60 °C and 4 mm for quality and efficiency purposes. Optimal conditions were found to be: DT of 60.34 °C; DV of 0.06 MPa and MT of 2 mm, and the corresponding responses t, KGM and WI were 5 h, 61.96% and 82, respectively. Moreover, a 3-10-3 ANN model was established to compare with three second order polynomial models established by the RSM, the result showed that the RSM models were superior in predicting capacity (R2 > 0.928; MSE < 1.46; MAE < 1.04; RMSE < 1.21) than the ANN model. The main results may provide some theoretical and technical basis for the konjac vacuum drying and the designing of related equipment.

scholarly journals Optimization of High-Pressure Extraction Process of Antioxidant Compounds from Feteasca regala Leaves Using Response Surface Methodology

Molecules ◽  
2020 ◽  
Vol 25 (18) ◽  
pp. 4209
Author(s):  
Anca Becze ◽  
Vanda Liliana Babalau-Fuss ◽  
Cerasel Varaticeanu ◽  
Cecilia Roman
Keyword(s):  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Total Antioxidant Capacity ◽  
Raw Materials ◽  
Extraction Process ◽  
Extraction Yield ◽  
Antioxidant Compounds ◽  
Operational Conditions ◽  
Total Antioxidant

Circular economy principles are based on the use of by-products from one operation as the raw materials in another. The aim of this work is to obtain extracts with high antioxidant capacity and resveratrol content for the superior capitalization of the biomass of Feteasca regala leaves obtained during vineyard horticultural operations in spring. In order to obtain a high-quality extract at an industrial level, an optimal extraction process is needed. Central composite design (CCD) was used for the experiment design, which contained three independent variables: the ratio of extraction solvent to solid matter, temperature (°C) and time (minutes). The evaluation of extracts was done by measuring the total antioxidant capacity of the extracts using photo-chemiluminescent techniques, and the resveratrol content using liquid chromatography. Process optimization was done using response surface methodology (RSM). Minitab software version 17.0 was used for the design of experiments and data analysis. Regression analysis showed that the model predicts 87.5% of the variation for resveratrol and 96% for total antioxidant capacity (TAC). The temperature had the biggest influence on the extraction yield. The optimal operational conditions for the extraction method applied had the following conditions: ratio e/m 2.92; 43.23 °C and 55.4 min. A maximum value of 34,623 µg ascorbic acid equivalent (AAE) /mL total antioxidant capacity and 182.4 µg/mL resveratrol content were obtained when the optimal extraction parameters where used. The values obtained in experiments proved that by using RSM an accurate model can be obtained for extraction of Feteasca regala leaves.

scholarly journals Experimental data of adsorption of Cr(III) from aqueous solution using a bentonite: Optimization by response surface methodology

Data in Brief ◽  
2020 ◽  
Vol 28 ◽  
pp. 105022
Author(s):  
Johnatan D. Castro-Castro ◽  
Nancy R. Sanabria-González ◽  
Gloria I. Giraldo-Gómez
Keyword(s):  
Experimental Data ◽  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface

Optimization of drying ammonium tetramolybdate by microwave heating using response surface methodology

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Libo Zhang ◽  
Wenqian Guo ◽  
Tu Hu ◽  
Jing Li ◽  
Jinhui Peng ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Microwave Heating ◽  
Microwave Drying ◽  
Process Variables ◽  
Optimum Conditions ◽  
Drying Time ◽  
Drying Temperature ◽  
Material Thickness ◽  
Rsm Technique

AbstractThe process of microwave drying ammonium tetramolybdate is studied, and the process variables of drying time, drying temperature and material thickness are considered. Experiences of microwave drying ammonium tetramolybdate have been optimized using response surface methodology (RSM) technique and a CCD design. Effects of each factor and their interactions are researched, and a quadratic polynomial model for dehydration ratio is established. As can be seen from the ANOVA, the effects of the three process variables are found to be significant in the model, and the empirical model is fit and reliable to check the dehydration ratio of ammonium tetramolybdate. The optimum conditions for drying using microwave heating are found as follows: drying temperature 67°C, drying time 9.5 min and material thickness 15 mm. The optimum dehydration ratio is 79.82% and the last molybdenum content is not <56.3%, with the relatively error of 0.64%, which indicates the success of the process optimization experiments. This research has important significance to offer optimum conditions for industrial production.

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