scholarly journals Pelletization of Sunflower Seed Husks: Evaluating and Optimizing Energy Consumption and Physical Properties by Response Surface Methodology (RSM)

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 591 ◽  
Author(s):  
Xuyang Cui ◽  
Junhong Yang ◽  
Xinyu Shi ◽  
Wanning Lei ◽  
Tao Huang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Energy Consumption ◽  
Moisture Content ◽  
Physical Properties ◽  
Response Surface ◽  
Sunflower Seed ◽  
Biomass Energy ◽  
Raw Material ◽  
The Novel ◽  
Seed Husk

Pelletization is a significant approach for the efficient utilization of biomass energy. Sunflower seed husk is a common solid waste in the process of oil production. The novelty of this study was to determine the parameters during production of a novel pellet made from sunflower seed husk. The energy consumption (W) and physical properties (bulk density (BD) and mechanical durability (DU)) of the novel pellet were evaluated and optimized at the laboratory by using a pelletizer and response surface methodology (RSM) under a controlled moisture content (4%–14%), compression pressure (100–200 MPa), and die temperature (70–170 °C). The results show that the variables of temperature, pressure, and moisture content of raw material are positively correlated with BD and DU. Increasing the temperature and moisture content of raw materials can effectively reduce W, while increasing the pressure has an adverse effect on W. The optimum conditions of temperature (150 °C), pressure (180 MPa), and moisture content (12%) led to a BD of 1117.44 kg/m3, DU of 98.8%, and W of 25.3 kJ/kg in the lab. Overall, although the nitrogen content was slightly high, the novel manufactured pellets had excellent performance based on ISO 17225 (International Organization for Standardization of 17225, Geneva, Switzerland, 2016). Thus, sunflower seed husk could be considered as a potential feedstock for biomass pelletization.

scholarly journals Optimization the Physical Properties of Waste Denim Fiber Modified Bio-asphalt Binder Using Response Surface Methodology

2021 ◽  
Vol 1144 (1) ◽  
pp. 012075
Author(s):  
Abdulnaser Al-Sabaeei ◽  
Madzlan Napiah ◽  
Muslich Sutanto ◽  
Wesam Alaloul ◽  
Nur Izzi Md Yusoff ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Physical Properties ◽  
Response Surface ◽  
Asphalt Binder

Optimization of the Ultrasonic Extraction of Gypenoside III from Gynostemma pentaphyllum by Response Surface Methodology

2012 ◽  
Vol 550-553 ◽  
pp. 1866-1870
Author(s):  
Xiao Dan Tang ◽  
Hai Yang Hang ◽  
Shao Yan Wang ◽  
Jing Xiang Cong
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Extraction Yield ◽  
Raw Material ◽  
Extraction Temperature ◽  
Optimal Conditions ◽  
Gynostemma Pentaphyllum ◽  
Bioactive Component ◽  
Yield Value ◽  
Ultrasonic Time

Gypenosides III is a major bioactive component which is rich in Gynostemma pentaphyllum. For better utilization of the native resource, response surface methodology was used to optimize the extraction conditions of gypenosides III from G. pentaphyllum. The effects of three independent variables on the extraction yield of gypenosides III were investigated and the optimal conditions were evaluated by means of Box-Behnken design. The optimal conditions are as follows: ratio of ethanol to raw material 25, extraction temperature 58°C and ultrasonic time 25min. Under these conditions, the yield of gypenoside III is 1.216±0.05%, which is agreed closely with the predicted yield value.

Optimization of Microwave Extraction Process by Response Surface Methodology of Flavonoids from Tussilago farfara L.

2013 ◽  
Vol 763 ◽  
pp. 246-249
Author(s):  
Xiao Song ◽  
Peng Zhao
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Microwave Power ◽  
Extraction Process ◽  
Raw Material ◽  
Extraction Time ◽  
Microwave Extraction ◽  
Water Solvent ◽  
Tussilago Farfara ◽  
Optimum Extraction

Flavonoids from Tussilago farfara L. was extracted with the assistance of microwave.Box-Behnken design (BBD) was employed to optimize extraction time; microwave power and ratio of water to raw material to obtain a high flavonoids yield.The optimum extraction conditions were as follows: 73.3% ethanol-water solvent, time 16.25 min and ratio of solvent to raw material 36.2ml/g.The yield of flavonoids was 11.37% based on the above mentioned conditions.

scholarly journals Optimization of the Novel Bisulfite Steeping Method by Response Surface Methodology for Natural Starch Synthesis From Oil Palm Trunk Biomass

2020 ◽  
Author(s):  
Zaber Ahmed ◽  
Mohd Suffian Yusoff ◽  
Nurul Hana Mokhtar Kamal ◽  
Hamidi Abdul Aziz
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Palm Oil ◽  
Pure Water ◽  
Starch Synthesis ◽  
Type Model ◽  
The Novel ◽  
Mixing Ratio ◽  
Ultra Pure Water ◽  
Oil Export

Abstract Malaysia is the 2nd largest in palm oil export, and after overcoming economic age (average 25 years), the palm oil trees entail to replace usually. Therefore, a massive quantity of palm oil trunk biomass, containing a significant amount of starch, is available as bio-waste annually. The efficient extraction of this starch (carbohydrate polymer) would be worthwhile concerning the environment, economy, conversion of biowaste to bioresources, and waste dumping challenges. Central composite design executed an experimental model design, evaluated the impacts of process variables and their interaction through response surface methodology to optimize the novel bisulfite steeping method for starch synthesis. Design-Expert software performed the data analysis. The developed quadratic models for four factors (Strength of Sodium bisulfite solution, steeping hour, mixing ratio with the bisulfite solution and ultra-pure water) and one response (%Yield), demonstrated that a significant starch yield (13.54%) is achievable utilizing 0.74% bisulfite solution, 5.6 steeping hours, for 1.6 and 0.6 mixing ratio with the bisulfite solution and ultra-pure water respectively. Experimental outcomes were quite consistent with the predicted model, which eventually sustains the significance of this method. Malvern Zetasizer test revealed a bimodal granular distribution for starch, with 7.15µm of hydrodynamic size. Starch morphology was determined by scanning electron microscopy. X-ray diffraction investigation exhibits an A-type model, specifying persistent characteristics of extracted starch.

Research on Biochemical Materials with Optimization of Microwave Extraction Process by Response Surface Methodology of Flavonoids from Platycarya strobi lacea sieb.et zucc.

2014 ◽  
Vol 1014 ◽  
pp. 61-64
Author(s):  
Xiao Song ◽  
Peng Zhao ◽  
Qing Hua Meng ◽  
Zhi Shu Tang ◽  
Chang Li Wang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Microwave Power ◽  
Extraction Process ◽  
Raw Material ◽  
Extraction Time ◽  
Microwave Extraction ◽  
Water Solvent ◽  
Optimum Extraction

Flavonoids from Platycarya Strobi lacea Sieb.et Zucc. was extracted with the assistance of microwave.Box-Behnken design (BBD) was employed to optimize extraction time; microwave power and ratio of solvent to raw material to obtain a high flavonoids yield. The optimum extraction conditions were as follows: 65.32% ethanol-water solvent, time 3.96 min and ratio of solvent to raw material 20.8 ml/g.The yield of flavonoids was 3.41% based on the above mentioned conditions.

Optimization of Ultrasonic Extraction of Polyphenol from Pinus Koraiensis Bark Using Response Surface Methodology

2011 ◽  
Vol 183-185 ◽  
pp. 1874-1878 ◽  
Author(s):  
Ji Chang Wang ◽  
Zhen Yu Wang ◽  
Zi Luan Fan ◽  
Li Li Zuo ◽  
Shuang Qi Tian ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Processing Parameters ◽  
Ultrasonic Extraction ◽  
Raw Material ◽  
Extraction Time ◽  
Pinus Koraiensis ◽  
Ultrasonic Power

Ultrasonic technology was applied for phenolic compounds extraction from the Pinus koraiensis bark （PKB） and response surface methodology (RSM) was used to optimize the effects of processing parameters on phenolic compounds yields. When ultrasonic power 160W,three independent variables were ultrasonic extraction time (X1 20-40min), ratio of water to raw material (X2 1:20-1:40 g/mL)and ethanol concentration(X3 20％-60％), respectively.The optimal extraction conditions of phenolic compounds were determined as follows: Ultrasonic extraction time 30.61 min, ratio of water to raw material 30.79 mL/g and ethanol concentration 42.2%. Under these conditions, the experimental yield of phenolic compounds was 8.2409 ± 0.0648‰, well matched with the predicted models with the coefficients of determination (R2) of 0.9920, which was agreed closely with the predicted value (8.2963‰).

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%.

An Effective Approach Based on Response Surface Methodology for Predicting Friction Welding Parameters

2016 ◽  
Vol 35 (3) ◽  
pp. 235-241
Author(s):  
Sare Celik ◽  
Aslan Deniz Karaoglan ◽  
Ismail Ersozlu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Friction Welding ◽  
Welding Process ◽  
Raw Material ◽  
Maximum Temperature ◽  
Welding Parameters ◽  
Rotating Speed ◽  
Minimum Number ◽  
Normal Carbon

AbstractThe joining of dissimilar metals is one of the most essential necessities of industries. Manufacturing by the joint of alloy steel and normal carbon steel is used in production, because it decreases raw material cost. The friction welding process parameters such as friction pressure, friction time, upset pressure, upset time and rotating speed play the major roles in determining the strength and microstructure of the joints. In this study, response surface methodology (RSM), which is a well-known design of experiments approach, is used for modeling the mathematical relation between the responses (tensile strength and maximum temperature), and the friction welding parameters with minimum number of experiments. The results show that RSM is an effective method for this type of problems for developing models and prediction.

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