Application of response surface methodology (RSM) for optimization of leaching parameters for ash reduction from low-grade coal
TLDR
In this paper, a quadratic model was proposed to correlate the independent variables for maximum ash reduction at the optimum process condition by using central composite design (CCD) method.Abstract:
Coal is the world’s most abundant energy source because of its abundance and relatively low cost. Due to the scarcity in the supply of high-grade coal, it is necessary to use low-grade coal for fulfilling energy demands of modern civilization. However, due to its high ash and moisture content, low-grade coal exerts the substantial impact on their consumption like pyrolysis, liquefaction, gasification and combustion process. The present research aimed to develop the efficient technique for the production of clean coal by optimizing the operating parameters with the help of response surface methodology. The effect of three independent variables such as hydrofluoric acid (HF) concentration (10–20% by volume), temperature (60–100 °C), and time (90–180 min), for ash reduction from the low-grade coal was investigated. A quadratic model was proposed to correlate the independent variables for maximum ash reduction at the optimum process condition by using central composite design (CCD) method. The study reveals that HF concentration was the most effective parameter for ash reduction in comparison with time and temperature. It may be due to the higher F-statistics value for HF concentration, which effects to large extent of ash reduction. The characterization of coal was evaluated by Fourier transform infrared spectroscopy (FTIR) analysis and Field-emission scanning electron microscopy with energy-dispersive X-ray (FESEM-EDX) analysis for confirmation of the ash reduction.read more
Citations
More filters
Journal ArticleDOI
Nanopore structure of deep-burial coals explored by AFM
TL;DR: In this article, an atomic force microscopy (AFM) measurement was conducted on 12 deep-burial coal samples with different ranks varying from bituminous C to anthracite, attempting to gain clearer insights into the nanopore characteristics and surface roughness.
Journal ArticleDOI
The use of AFM in quantitative analysis of pore characteristics in coal and coal-bearing shale
TL;DR: In this paper, atomic force microscopy (AFM) experiments were performed on coal and coal-bearing shale samples, attempting to gain clearer insights into the nanopore characteristics and surface roughness.
Journal ArticleDOI
Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives.
TL;DR: This review aims to analyse the current state of implementation of QbD methodologies and tools in the pharmaceutical industry, extracting patterns and trends and identifying gaps and opportunities that may be considered to improveQbD adoption.
Journal ArticleDOI
Optimization on cleaner intensification of ozone production using Artificial Neural Network and Response Surface Methodology: Parametric and comparative study
Ainy Hafeez,Syed Ali Ammar Taqvi,Syed Ali Ammar Taqvi,Tahir Fazal,Fahed Javed,Zakir Khan,Zakir Khan,Umme Salma Amjad,Awais Bokhari,Nasir Shehzad,Naim Rashid,Saif Ur Rehman,Fahad Rehman +12 more
TL;DR: In this paper, the authors compared the performance of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) for ozone generation in a Dielectric Barrier Discharge-Corona hybrid plasma microreactor.
Journal ArticleDOI
Assessment of pH-responsive nanoparticles performance on laboratory column flotation cell applying a real ore feed
TL;DR: In this paper, the effect of nanoparticles on column flotation process (copper recovery, grade and flotation rate constant) is assessed in Sarcheshmeh Copper Complex, Iran, through response surface methodology (RSM) optimization technique.
References
More filters
Journal ArticleDOI
Response surface methodology
TL;DR: In this article, the Response Surface Methodology (RSM) is used for scheduling and scheduling in response surface methodologies, and it is shown that it can be used in a variety of scenarios.
Journal ArticleDOI
Multi-Factor Experimental Designs for Exploring Response Surfaces
George E. P. Box,J. S. Hunter +1 more
TL;DR: In this paper, the concept of the variance function for an experimental design is introduced, and the problem of selecting practically useful designs is discussed, and in this connection, the notion of variance function is introduced.
Journal ArticleDOI
Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes
V. Gunaraj,N. Murugan +1 more
TL;DR: In this paper, a four-factor five-level central composite rotatable design matrix with full replication for planning, conduction, execution and development of mathematical models is proposed for predicting the weld bead quality and selecting optimum process parameters for achieving the desired quality and process optimization.
Journal ArticleDOI
Response surface modeling and optimization of chromium(VI) removal from aqueous solution using Tamarind wood activated carbon in batch process.
TL;DR: The present paper discusses response surface methodology (RSM) as an efficient approach for predictive model building and optimization of chromium adsorption on developed activated carbon for optimizing the removal of Cr(VI) ions from aqua solutions using activated carbon as adsorbent.
Journal ArticleDOI
Production of activated carbon from Luscar char: Experimental and modeling studies
Ramin Azargohar,Ajay K. Dalai +1 more
TL;DR: In this paper, two quadratic models were developed for BET surface area and yield of activated carbon using Design-Expert software, and the models were used to calculate the optimum operating conditions for production of activation carbon providing a compromise between BET surface areas and yield.