Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques

Nakhaei, Fardis; Mosavi, Mohammad Reza; Sam, Abbas; Vaghei, Y.

doi:10.1016/j.minpro.2012.03.003

Cited by 69 publications

(25 citation statements)

References 31 publications

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“…Artificial neural network-based model Copper Aldrich et al (1995Aldrich et al ( , 1997, Moolman et al (1995aMoolman et al ( , 1995bMoolman et al ( , 1995cMoolman et al ( , 1995d, Hales et al (1999), Çilek (2002), Saghatoleslami et al (2004), Massinaei and Doostmohammadi (2010), Nakhaei et al (2012, Nakhaei and Irannajad (2013a,b), Massinaei et al (2014), Jahedsaravani et al (2014Jahedsaravani et al ( , 2015 and Hosseini et al (2015) Molybdenum Nakhaei et al (2012 and Nakhaei and Irannajad (2013b) Platinum group metals Aldrich et al (1995Aldrich et al ( , 1997, Moolman et al (1996), Marais (2010) Scheiner et al (1996), Karr and Scheiner (2000), and Al-Thyabat (2008, 2009) Coal Kalyani et al (2008), Jorjani et al (2008Jorjani et al ( , 2009 regarding the simulation of phosphate flotation in Florida. Scheiner et al (1996) developed six different models for the simulation of phosphate flotation circuit, namely the first principle model, standard multivariate regression model, partial least squares model, neural network model, fuzzy-genetic model and rate constant model.…”

Section: Type Of Mineral Raw Materialsmentioning

confidence: 99%

“…Two model types, which are used for an assessment of technological parameters in the column cleaning of copper and molybdenum concentrates, include the model based on the multivariate non-linear regression and models based on artificial neural networks -both of which were compared by Nakhaei et al (2012). According to the authors' report, ANN models proved to have better performance rates than the model based on statistical techniques.…”

Section: Type Of Mineral Raw Materialsmentioning

confidence: 99%

See 1 more Smart Citation

Soft computing-based modeling of flotation processes – A review

Jovanović

Miljanović

Jovanović

2015

Minerals Engineering

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Section: Type Of Mineral Raw Materialsmentioning

confidence: 99%

Section: Type Of Mineral Raw Materialsmentioning

confidence: 99%

Soft computing-based modeling of flotation processes – A review

Jovanović

Miljanović

Jovanović

2015

Minerals Engineering

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“…Hence, the relationship between average grades and process recovery should be regarded in order to precisely determine optimum cutoff grades. Although the influence of average grade of feed on concentration recovery has been evaluated (Nakhaei et al, 2012), no specific results have been obtained from the effect of average grade of feed on the heap leaching recovery. As there are several effective parameters on leaching recovery (Maley et al, 2009;Norris et al, 2010;Kodali et al, 2011), the effect of average grade of feed on leaching recovery hasn't been clearly specified yet.…”

Section: Average Grades and Process Recoveriesmentioning

confidence: 99%

A new algorithm to determine optimum cut-off grades considering technical, economical, environmental and social aspects

Rahimi

Ghasemzadeh

2015

Resources Policy

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“…Historically, primarily the classical flotation models were developed (Garcia Zuñiga, 1935;Schumann, (1942; Kelsall, 1961;Woodburn, 1970; Harris, 1978; Lynch et al, 1981;Zhang, 1989;Yianatos, 1989;Schulze, 1993;Polat & Chander, 2000; King, 2001;Sherrell, 2004;Ali, 2007;Yianatos, 2007;Saleh, 2010;Xian-ping et al, 2011; etc.). With the development and application of computer techniques in flotation process modelling, in parallel with the classical models, development of soft computing based models started (Moolman et al, 1994;Çilek, 2002;Vieira et al, 2005; Marais & Aldrich, 2011;Nakhaei et al, 2012;Nakhaei et al, 2013; etc. ).…”

Section: Introductionmentioning

confidence: 99%

Modelling Of Flotation Processes By Classical Mathematical Methods – A Review

Jovanović¹,

Miljanović²

2015

Archives of Mining Sciences

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Flotation process modelling is not a simple task, mostly because of the process complexity, i.e. the presence of a large number of variables that (to a lesser or a greater extent) affect the final outcome of the mineral particles separation based on the differences in their surface properties. The attempts toward the development of the quantitative predictive model that would fully describe the operation of an industrial flotation plant started in the middle of past century and it lasts to this day. This paper gives a review of published research activities directed toward the development of flotation models based on the classical mathematical rules. The description and systematization of classical flotation models were performed according to the available references, with emphasize exclusively given to the flotation process modelling, regardless of the model application in a certain control system. In accordance with the contemporary considerations, models were classified as the empirical, probabilistic, kinetic and population balance types. Each model type is presented through the aspects of flotation modelling at the macro and micro process levels.Keywords: flotation, mathematical modelling, empirical models, probabilistic models, population-balance models, kinetic modelsModelowanie procesów flotacji nie jest zagadnieniem prostym, głównie z uwagi na skomplikowany charakter samego procesu, czyli znaczną liczbę zmiennych które, w mniejszym lub w większym stopniu, mają wpływ na końcowy wynik procesu separacji cząstek materiału wykorzystującego różnice w ich właściwościach powierzchniowych. Próby stworzenia ilościowego modelu predyktywnego który w sposób pełny opisywałby przemysłowe procesy flotacji podjęto w połowie ubiegłego wieku a badania trwają po dzień dzisiejszy.W artykule przedstawiono przegląd działalności badawczej podejmowanej w celu opracowania modelu procesu flotacji opartego o zasady matematyki klasycznej. Opisu i systematyki modeli flotacji dokonano w oparciu o dostępną literaturę przedmiotu, główny nacisk kładąc na te modele, które wykorzystywane były wyłącznie do analizy procesu flotacji, bez względu na możliwość ich zastosowania także w układach sterowania. Zgodnie z obecnymi założeniami, modele sklasyfikowano jako empiryczne, probabilistyczne, kinetyczne oraz modele równowagi populacji. Każdy model zaprezentowany jest w kontekście modelowania procesu flotacji, z uwzględnieniem skali mikro oraz makro.Słowa kluczowe: flotacja, modelowanie matematyczne, modele empiryczne, modele probabilistyczne, modele równowagi populacji, modele kinetyczne IntroductionThe underlying principles of the flotation process are well established, but, according to the reports from many researchers, it is very hard to create the quantitative predictive models that can be used to simulate the operation of flotation cells in typical industrial circuits. The reason for these difficulties lies in the complexity of the many microprocesses and their mutual interactions influencing overall result, which is the separation of d...

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Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques

Cited by 69 publications

References 31 publications

Soft computing-based modeling of flotation processes – A review

Soft computing-based modeling of flotation processes – A review

A new algorithm to determine optimum cut-off grades considering technical, economical, environmental and social aspects

Modelling Of Flotation Processes By Classical Mathematical Methods – A Review

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