scholarly journals Application of response surface methodology (RSM) for optimization of leaching parameters for ash reduction from low-grade coal

2018 ◽  
Vol 28 (4) ◽  
pp. 621-629 ◽  
Author(s):  
Sushanta Kumar Behera ◽  
Himanshu Meena ◽  
Sudipto Chakraborty ◽  
B.C. Meikap
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Low Grade ◽  
Leaching Parameters

scholarly journals REDUCTIVE LEACHING OF LOW GRADE MANGANESE ORE (LGMO) USING GLUCOSE IN SULPHURIC ACID: OPTIMIZATION CONDITION USING RESPONSE SURFACE METHODOLOGY

2018 ◽  
Vol 8 (2) ◽  
pp. 64-73
Author(s):  
Nurhidayah Muthalib ◽  
Norazharuddin Abdullah ◽  
Suhaina Ismail
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sulphuric Acid ◽  
Acid Concentration ◽  
Quadratic Model ◽  
Significant Variable ◽  
Low Grade ◽  
Manganese Ore ◽  
Reductive Leaching ◽  
Sulphuric Acid Concentration

Manganese (Mn) is an important metal in producing a good quality steel, that the total Mn consumption in this industry reaches 85 to 90%. Despite of this huge demand, Mn faces a shortage supply due to depletion of high grade Mn ore. As an alternative, low grade manganese ore (LGMO) can be utilized to fulfill the industry demand. The aim of this work is to determine the optimum condition of the reductive leaching process of LGMO using Response Surface Methodology (RSM). The design of experiment (DOE) was made using RSM by Central Composite Design (CCD) with 22 and 3 central points. In this work, the effect of variables such as sulphuric acid concentration (X1) and weight of glucose (X2) were examined. The experimental data obtained from Analysis of Variance (ANOVA) were analyzed. Subsequently, the most significant variable was identified and fitted into a quadratic model. It is found that the interaction between sulphuric acid concentration and amount of glucose (X1X2) is the most important factor in manganese (Mn) extraction. The optimum leaching condition is obtained at 2.5 M sulphuric acid concentration and 2 g weight of glucose at 60 minutes leaching time. Within this experimental condition, a high level of Mn extraction ratio at 88.97% is achieved.

In depth investigation of bi-functional, Cu/Zn/γ-Al2O3 catalyst in biodiesel production from low-grade cooking oil: Optimization using response surface methodology

2019 ◽  
Vol 135 ◽  
pp. 408-416 ◽  
Author(s):  
Nur Fatin Sulaiman ◽  
Wan Azelee Wan Abu Bakar ◽  
Susilawati Toemen ◽  
Norhasyimah Mohd Kamal ◽  
Renugambaal Nadarajan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Biodiesel Production ◽  
Low Grade ◽  
Cooking Oil ◽  
Al2o3 Catalyst

Empirical model for bio-extraction of copper from low grade ore using response surface methodology

2015 ◽  
Vol 25 (12) ◽  
pp. 4126-4143 ◽  
Author(s):  
M. YAGHOBI MOGHADDAM ◽  
S.Z. SHAFAEI ◽  
M. NOAPARAST ◽  
F. DOULATI ARDEJANI ◽  
H. ABDOLLAHI ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Empirical Model ◽  
Low Grade

scholarly journals Optimization of Silicon Leaching for White Carbon Black Preparation from Vanadium-Extraction Residue Using Response Surface Methodology

2020 ◽  
Vol 71 (8) ◽  
pp. 206-219
Author(s):  
Shun Wang ◽  
Shenxu Bao ◽  
Yimin Zhang ◽  
Yizhong Yuan
Keyword(s):  
High Pressure ◽  
Response Surface Methodology ◽  
Carbon Black ◽  
Response Surface ◽  
Regression Equation ◽  
Mass Ratio ◽  
Solid Ratio ◽  
Vanadium Extraction ◽  
Alkali Leaching ◽  
Leaching Parameters

Vanadium-extraction residue (VER) is rich in silicon and the high temperature and high pressure alkali leaching can be used to prepare white carbon black (WCB). The effects of the mass ratio of alkali to slag, liquid-solid ratio, reaction temperature and reaction time on the silica leaching ratio were investigated. Response surface methodology was used to analyze the interaction of these main leaching parameters and the final regression equation can be obtained. By using the regression equation, the leaching schemes can be designed as the maximum leaching ratio of silica was set, thereby the optimal leaching parameters also can be obtained to reduce the leaching cost. Repeated experiments showed that the optimized leaching ratio can reach 95.26% which was just lower the predicted value by 2.17%, indicating that the regression equation was reliable to be used to optimize the leaching process. The WCB product with specific surface area of 105.1 m2/g was verified by XRD and FTIR.

scholarly journals Optimization of Oxidative Leaching for Vanadium Extraction from Low-Grade Stone Coal Using Response Surface Methodology

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1534
Author(s):  
Zulv Huang ◽  
Tao Chen ◽  
Yang Zhou ◽  
Wenbin Xu ◽  
Hanzhi Lin ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Low Grade ◽  
Stone Coal ◽  
H2so4 Concentration ◽  
Before And After ◽  
Shrinking Core ◽  
Oxidative Leaching ◽  
Kinetics Of ◽  
Central Composite

The feasibility and kinetics of vanadium (V) recovery from oxidative leaching of low-grade stone coal using MnO2 were investigated. Oxidative leaching processes (OLPs) were designed using response surface methodology (RSM) based on the central composite design (CCD) model. The results show that the order of factors that influence OLPs is leaching temperature > H2SO4 concentration > leaching time > MnO2 dosage. The interaction between leaching temperature and H2SO4 concentration on the OLP is the most significant. Vanadium leaching efficiency was 89.3% using 31% H2SO4 and 3% MnO2 at 90 °C for 7.9 h. The kinetics of V leaching from stone coal show that the leaching rate is controlled by chemical reaction through a layer according to the shrinking core model and the activation energy is 55.62 kJ/mol. A comparison of the SEM-EDS results of minerals before and after leaching confirms that the muscovite structure was significantly destroyed and V and aluminum (Al) were effectively dissolved during the OLP.

Sign in / Sign up

Export Citation Format

Share Document