Determination of the optimum conditions for the leaching of Cd–Ni residues from electrolytic zinc plant using statistical design of experiments

Safarzadeh, M. Sadegh; Moradkhani, Davood; Ilkhchi, Mehdi Ojaghi; Golshan, Negar H.

doi:10.1016/j.seppur.2007.05.016

Cited by 73 publications

(37 citation statements)

References 4 publications

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“…Each line represents a test which is by the way a whole of specific levels of each factor. This matrix is draft since, it is appropriate more for experiments carried out in a disturbed medium, each test is repeated twice under the same conditions and at different times, in order to minimize the noise effect sources like the temperature and moisture in the laboratory at the time to carried out tests, (Safarzadeh, 2007;Safarzadehet al, 2008) The Taguchi approach uses the function quality loss of to measure the variability Considering the different performance characteristics, largest ratio S/B corresponds to better performance. Accordingly to this, the parameter level optimum is that which has largest ratio S/B.…”

Section: Calculation Of Acid Consumptionmentioning

confidence: 99%

“…And is the response to the level . Thus, In experimental designs of Taguchi, the combination corresponding to the optimum conditions for work can not appear among combinations retained during the tests, (Safarzadeh et al, 2008) In such a case, the value of answer or the characteristic corresponding to optimal conditions can be predicted by using the following expression:…”

Section: Mathematical Modeling For Enhancement Heap Leaching Of Dmsmentioning

confidence: 99%

“…It is shown that for any research, design or production, the mathematical modelling must be consider under stakes of robust experimental designs, in the offering to improve product quality, and robust methods allowing result approaches in depth. Both methods are basically oriented from the experimental designs, thus, their contribution which is focused on the performance system (Safarzadeh et al, 2008).This coupled method bore several fields engineering in the industry scale such as for conventional techniques to its alternative as bio-engineering domain and even eventually powder metallurgy called nanotechnology. Thus, it is therefore demonstrated that its application is an evidence for better outcomes between interactions variation, which involve much more advantages such as the test reductions to be carried out.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Modeling for Enhancement Heap Leaching Of D.M.S Tailings for the Recovering Copper and Cobalt: Using Taguchi Method and Analysis Variance.

Bampole¹,

Mulamba²

2017

IOSR JAC

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The analytical method of Taguchi was carried out for interpreting leaching results obtained fromoverall feed of Cu-Co tailings in order to determine the optimal operatory conditions using mathematical model. The orthogonal matrix L25 (5 3 ) (OA, 3 factors with 5 levels) was performed to evaluate the effects of particle size (+12,5;.+6,3;+2,3;+2,3 +1,7;-1,7 mm), initial acidity (A = 10, 15, 20, 25 and 30 g/L), flow rate (T = 15;17,5;20;22,5 and 25 L/h/m 2 ) on the metals dissolution rate (Cu and Co).The ANOVA statistical analysis was also used for determining the different interactions between monitored parameters. The experimental results of copper and cobalt dissolutions have showed that under optimal conditions (-1.7mm, 30g/L, 25L/h/m 2 ) for copper and cobalt, the yield leaching was respectively 89.1% and 61,35%),particle size is in interaction with acidity for copper leaching while acidity is also in interaction with the cobalt flow rate.

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Section: Calculation Of Acid Consumptionmentioning

confidence: 99%

Section: Mathematical Modeling For Enhancement Heap Leaching Of Dmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mathematical Modeling for Enhancement Heap Leaching Of D.M.S Tailings for the Recovering Copper and Cobalt: Using Taguchi Method and Analysis Variance.

Bampole¹,

Mulamba²

2017

IOSR JAC

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“…Therefore, optimization of leaching parameters is very important. Taguchi method is widely used in optimization studies, both leaching studies and other scientific fields (Bese et al, 2010;Abali et al, 2006;Demir and Donmez, 2008;Babaei-Dehkordi et al, 2013;Asl et al, 2015;Dogan and Yartasi, 2014;Copur, 2002;Abali et al, 2011;Moghaddam et al, 2006;Ata et al, 2001;Safarzadeh et al, 2008;Ilyas et al, 2010;Zolfaghari et al, 2011). One of the advantages of Taguchi method is to keep costs to a minimum level compared to conventional experimental design methods and closer performance to the desired level.…”

Section: Introductionmentioning

confidence: 99%

“…One of the advantages of Taguchi method is to keep costs to a minimum level compared to conventional experimental design methods and closer performance to the desired level. Another advantage is to adapt optimum conditions obtained from laboratory studies to real production conditions (Taguchi, 1987;Demir and Donmez, 2008;Donmez et al, 1998;Ata et al, 2001;Roy, 1995;Safarzadeh et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Nickel Extraction From Lateritic Ore in Hydrochloric Acid Solution With Hydrogen Peroxide by Taguchi Method

Aras¹,

Agacayak²

2017

Scitech

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Taguchi optimization method was used to determine optimum conditions for the extraction of nickel from lateritic ore in hydrochloric acid solution with hydrogen peroxide. Leaching time, stirring speed, temperature, hydrochloric acid concentration and hydrogen peroxide concentration were chosen as parameters. The optimum conditions for dissolution w ere found as leaching time of 240 min, a temperature of 70°C, hydrochloric acid concentration of 3 M, hydrogen peroxide concentration of 0.1 M and without stirring. The experimental results under optimum leaching conditions, showed that the extraction of nickel from lateritic ore was 90.66%. Analysis of variance (ANOVA) was applied to experimental results. Percentage contributions of each factor for the extraction of nickel were determined. Key Words: Leaching, Lateritic ore, Nickel; Hydrochloric acid, Hydrogen peroxide; Taguchi method Nikelin Lateritik Cevherden Hidrojen Peroksitli Hidroklorik Asit Çözeltisinde ÇözündürülmesininTaguchi Yöntemiyle Optimizasyonu ÖZ: Nikelin lateritik cevherden hidrojen peroksitli hidroklorik asit çözeltisinde çözündürülmesinin optimum koşullarını belirlemek için Taguchi optimizasyon yöntemi kullanılmıştır. Deney parametreleri olarak, süre, karıştırma hızı, sıcaklık, hidroklorik asit derişimi ve hidrojen peroksit derişimi seçilmiştir. Çözündürme için optimum koşullar, karıştırma yapılmadan, 240 dakika liç süresi, 70 °C sıcaklık, 3 M hidroklorik asit derişimi ve 0.1 M hidrojen peroksit derişimi olarak bulunmuştur. Optimum koşullarda yapılan deney sonuçları, nikelin lateritik cevherden çözündürülmesinin %90.66 olduğunu göstermiştir. Deney sonuçlarına varyans analizi (ANOVA) uygulanmış ve her faktörün nikel çözündürülmesine olan katkısı belirlenmiştir.

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Support vector regression that takes into consideration the importance of explanatory variables

Kaneko

2020

Journal of Chemometrics

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Support vector regression (SVR) is able to consider the nonlinear relationship between explanatory variables X and a target variable y to build a regression model with high predictive accuracy. Additionally, y values predicted with SVR models for new samples can exceed the actual y values in training data. However, because the Gaussian kernel, which is a kernel function generally used in SVR, is based on the Euclidean distance between samples, it is unable to consider the importance of X when building the regression model. Therefore, in this study, the focus was on the importance of X that can be calculated by random forests (RF), and a novel SVR method, called variable importance‐considering support vector regression (VI‐SVR), was proposed based on this importance. Because X is weighted based on importance, the greater the importance of X, the greater its contribution to the predicted value. Analysis using the spectral, quantitative structure–property relationship (QSPR), and quantitative structure–activity relationship (QSAR) datasets confirmed that the predictive accuracy of VI‐SVR was better than that of SVR. VI‐SVR Python code is available at https://github.com/hkaneko1985/dcekit.

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Determination of the optimum conditions for the leaching of Cd–Ni residues from electrolytic zinc plant using statistical design of experiments

Cited by 73 publications

References 4 publications

Mathematical Modeling for Enhancement Heap Leaching Of D.M.S Tailings for the Recovering Copper and Cobalt: Using Taguchi Method and Analysis Variance.

Mathematical Modeling for Enhancement Heap Leaching Of D.M.S Tailings for the Recovering Copper and Cobalt: Using Taguchi Method and Analysis Variance.

Optimization of Nickel Extraction From Lateritic Ore in Hydrochloric Acid Solution With Hydrogen Peroxide by Taguchi Method

Support vector regression that takes into consideration the importance of explanatory variables

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