scholarly journals Formulation and Optimization of Pluronic Lecithin Organogel Containing Verapamil Hydrochloride Using Factorial Design Method (Research Article)

2021 ◽  
Vol 11 (1) ◽  
pp. 68-76
Author(s):  
Sandeep C Atrama ◽  
Shrikant D Pande
Keyword(s):  
Factorial Design ◽  
Design Method ◽  
Verapamil Hydrochloride ◽  
Research Article

scholarly journals Full Factorial Design for Gold Recovery from Industrial Solutions

Toxics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 111
Author(s):  
Maria Mihăilescu ◽  
Adina Negrea ◽  
Mihaela Ciopec ◽  
Petru Negrea ◽  
Narcis Duțeanu ◽  
...  
Keyword(s):  
Factorial Design ◽  
Adsorption Capacity ◽  
Contact Time ◽  
Adsorption Process ◽  
Design Method ◽  
Precious Metals ◽  
Gold Recovery ◽  
Maximum Adsorption Capacity ◽  
Gold Concentration ◽  
Commercial Resin

Gold is one of the precious metals with multiple uses, whose deposits are much smaller than the global production needs. Therefore, extracting maximum gold quantities from industrial diluted solutions is a must. Am-L-GA is a new material, obtained by an Amberlite XAD7-type commercial resin, functionalized through saturation with L-glutamic acid, whose adsorption capacity has been proved to be higher than those of other materials utilized for gold adsorption. In this context, this article presents the results of a factorial design experiment for optimizing the gold recovery from residual solutions resulting from the electronics industry using Am-L-GA. Firstly, the material was characterized using atomic force microscopy (AFM), to emphasize the material’s characteristics, essential for the adsorption quality. Then, the study showed that among the parameters taken into account in the analysis (pH, temperature, initial gold concentration, and contact time), the initial gold concentration in the solution plays a determinant role in the removal process and the contact time has a slightly positive effect, whereas the pH and temperature do not influence the adsorption capacity. The maximum adsorption capacity of 29.27 mg/L was obtained by optimizing the adsorption process, with the control factors having the following values: contact time ~106 min, initial Au(III) concentration of ~164 mg/L, pH = 4, and temperature of 25 °C. It is highlighted that the factorial design method is an excellent instrument to determine the effects of different factors influencing the adsorption process. The method can be applied for any adsorption process if it is necessary to reduce the number of experiments, to diminish the resources or time consumption, or for expanding the investigation domain above the experimental limits.

scholarly journals Acid treatments of montmorillonite-rich clay for Fe removal using a factorial design method

2013 ◽  
Vol 16 (5) ◽  
pp. 1122-1127 ◽  
Author(s):  
Lindiane Bieseki ◽  
Francine Bertell ◽  
Helen Treichel ◽  
Fabio G. Penha ◽  
Sibele B. C. Pergher
Keyword(s):  
Factorial Design ◽  
Design Method ◽  
Acid Treatments

scholarly journals Optimize 2-D Path Planning of Mobile Robot by using ACO with Guidance Factor

2020 ◽  
Vol 9 (02) ◽  
Author(s):  
Li Wang
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Design Method ◽  
Target Position ◽  
Structure Design ◽  
Two Dimensional ◽  
Ant System ◽  
Planning Strategy ◽  
Research Article ◽  
System Methodology

In this research article, the path planning of a mobile robot done by using ant colony optimization (ACO) with guidance factor. A two-dimensional (2-D) threat map structure design for path planning strategy, in which threat points are fixed in the path of moving robot. The two main objective of this research; to reach the mobile robot at the target position by using optimal route using ACO strategy. Secondly, by using guidance factor all the ants of ACO arrive at the fixed targeted area. Moreover, the results of the proposed algorithm compares with the classical ant system methodology. The simulated results show that the design method has short path planning and less steady state error to reach the designated path robustly.            

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