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1

Classification techniques and parameter optimization of Cyclone Continuous Centrifugal Separator for hematite ore

Zhang Pei, Xie Haiyun, Jin Yanling, Chen Jialing, Zeng Peng, Li Yuanhong, Chen Luzheng, Liu Dianwen

Physicochemical Problems of Mineral Processing

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2023

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Vol. 59, iss. 1

art. no. 158864

EN

The Cyclonic Continuous Centrifugal Separator (CCCS) is a new type of separation equipment developed based on cyclonic continuous centrifugal separation technology and combined with the separation principle of the fluidized bed. Taking hematite as the research object, the main parameters and conditions of the best hematite classification were determined through the classification test by using CCCS. Based on the classification test, the significance order of each process parameter and their interaction with hematite classification efficiency of the underflow products was analyzed with the Response Surface Methodology, the optimal process parameter of hematite classification was obtained and a multiple regression equation was established. The optimized process conditions were as follows, feeding pressure 55.48 kPa, backwash pressure 9.79 kPa, and underflow pressure 31.94 kPa. Under these conditions, the average hematite ore classification efficiency of coarse fraction (-2~+0.15mm), medium fraction (-0.15~+0.074mm) and fine fraction (-0.074mm) were 85.08%, 65.10% and 51.41%, respectively, and the relative errors with the predicted values were 1.6%, 4.0% and 2.5%, respectively. The results showed that the analytical model has good predictive performance. This research provides a certain prospect for the application of Cyclonic Continuous Centrifugal Separation to hematite ore classification. it provides a reference for the application of the Response Surface Methodology in the classification of hematite by Cyclonic Continuous Centrifugal Separation.

2

Preparation and characterization of calcite for tannic acid adsorption: Optimization by response surface methodology coupled by Box-Cox transformation procedure

Tangarfa Mariam, Semlali Aouragh Hassani Naoul, Alaoui Abdallah

Physicochemical Problems of Mineral Processing

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2021

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Vol. 57, iss. 3

36--45

EN

Calcite depression is the most effective physicochemical process to valorize fluorine mineral. This process is achieved by adsorption of tannic acid, as the commonly used reagent, onto calcite. Adsorption investigation is very important in mineral processing. The present work focuses on optimization of physicochemical parameters of tannic acid adsorption onto calcite. Experimental study is carried out by a response surface methodology based on Box-Behnken design. Obtained results are exploited to develop a statistical model. Analysis of variance and residuals are performed to check the significance of tested models. Among these models, Cox-Box model predicts very well the obtained experimental data. This model shows that initial tannic acid concentration and solution pH as well as their interactions are the most significant parameters. Optimal conditions are achieved using the obtained statistical model. The present investigation is an important preliminary step to better understand calcite flotation behavior using tannic acid as a depressant.

3

Designing Cement Mortars Modified with Cork and Rubber Waste Using Theory of the Experiment

Dębska Bernardeta, Krasoń Joanna, Lichołai Lech

Journal of Ecological Engineering

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2019

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Vol. 20, nr 9

121--130

EN

The article concerns the possibility of obtaining modified cement mortars and assessing their selected properties, i.e. bending and compressive strength, volume density of hardened mortars and water absorption. The modification consisted in a partial (0–50% vol.) substitution of sand by waste, crushed rubber, and cork. In the mortar design process, the theory of the experiment was used. The central composite design used available in the Statistica software package was response surface. This approach allowed to significantly reduce the number of experiments, reduce costs, and at the same time keep the maximum information about the mortars tested. The conducted research showed that waste materials can be an alternative to natural aggregates in the process of obtaining light mortars.

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Modelling of Cr3C2-25% NiCr Laser Alloyed Cast Iron in High Temperature Sliding Wear Condition Using Response Surface Methodology

Jeyaprakash N., Duraiselvam M., Raju R.

Archives of Metallurgy and Materials

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2018

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Vol. 63, iss. 3

1303--1315

EN

The wear behaviour of Cr3C2-25% NiCrlaser alloyed nodular cast iron sample were analyzed using a pin-on-disc tribometer. The influence of sliding velocity, temperature and load on laser alloyed sample was focused and the microscopic images were used for metallurgical examination of the worn-out sites. Box-Behnken method was utilised to generate the mathematical model for the condition parameters. The Response Surface Methodology (RSM) based models are varied to analyse the process parameters interaction effects. Analysis of variance was used to analyse the developed model and the results showed that the laser alloyed sample leads to a minimum wear rate (0.6079 ×10–3 to 1.8570 ×10–3 mm3/m) and coefficient of friction (CoF) (0.43 to 0.53). From the test results, it was observed that the experimental results correlated well with the predicted results of the developed mathematical model.

5

Optimization of the Fenton Oxidation of Synthetic Textile Wastewater Using Response Surface Methodology

Thomas M., Barbusiński K., Kalemba K., Piskorz P. J., Kozik V., Bąk A.

Fibres & Textiles in Eastern Europe

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2017

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Vol. 25, no. 6 (126)

108--113

EN

This article presents the possibility of using the classical Fenton process (Fe(II)/H2O2) to purify synthetic textile wastewater (COD=1872 mg O2/dm3, TOC=660 mg/dm3) containing azo dye Anilan Blue GRL 250% (200 mg/dm3) and Sodium Lauryl Sulphate (SLS) as anionic surfactant at a concentration of 95 mg/dm3. Model studies were carried out using RSM, obtaining a good fit of approximated values to experimental values (R2=0.9461 and R2adj=0.7379). For optimal process parameters (pH 3, Fe(II) 0.85 g/dm3, H2O2 14.5 g/dm3), complete decolourisation (3) was achieved as well as a reduction in COD, TOC and SLS concentrations to 83%, 44% and 98%, respectively.

PL

W artykule przedstawiono możliwość zastosowania klasycznego procesu Fentona (Fe(II)/ H2O2) do oczyszczania syntetycznych ścieków tekstylnych (COD=1872 mg O2/dm3, TOC=660 mg/dm3), zawierających barwnik azowy Anilan Blue GRL 250% (200 mg/dm3) oraz surfaktant anionowy Sodium Lauryl Sulphate (SLS) o stężeniu 95 mg/dm3. Badania modelowe prowadzono z zastosowaniem RSM, otrzymując dobre dopasowanie wartości aproksymowanych do wartości doświadczalnych (R2=0.8795 oraz R2adj=0.7992). Dla optymalnych parametrów procesu (pH 3, Fe(II) 0,85 g/dm3, H2O2 14,5 g/dm3) uzyskano całkowite odbarwienie ścieków (3) oraz zmniejszenie wartości COD, TOC i stężenia SLS odpowiednio o 83%, 44% i 98%.

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Effects of Cutting Parameters on Quality of Surface Produced by Machining of Titanium Alloy and Their Optimization

Niharika, Agrawal B. P., Khan I. A., Khan Z. A.

Archive of Mechanical Engineering

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2016

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Vol. LXIII, nr 4

531--548

EN

Titanium alloy (Ti-6Al-4V) has been extensively used in aircraft turbine-engine components, aircraft structural components, aerospace fasteners, high performance automotive parts, marine applications, medical devices and sports equipment. However, wide-spread use of this alloy has limits because of difficulty to machine it. One of the major difficulties found during machining is development of poor quality of surface in the form of higher surface roughness. The present investigation has been concentrated on studying the effects of cutting parameters of cutting speed, feed rate and depth of cut on surface roughness of the product during turning of titanium alloy. Box-Behnken experimental design was used to collect data for surface roughness. ANOVA was used to determine the significance of the cutting parameters. The model equation is also formulated to predict surface roughness. Optimal values of cutting parameters were determined through response surface methodology. A 100% desirability level in the turning process for economy was indicated by the optimized model. Also, the predicted values that were obtained through regression equation were found to be in close agreement to the experimental values.

PL

Stop tytanu (Ti-6Al-4V) jest szeroko stosowany do budowy elementów turbinowych silników lotniczych i innych podzespołów samolotów, elementów złącznych w technice lotniczej i astronautycznej, wysokiej jakości części samochodowych, w technice okrętowej i medycznej, a także w sprzęcie sportowym. Niemniej, powszechne zastosowanie tego stopu jest ograniczone trudnościami z jego obróbką. Jednym z podstawowych problemów jest niska jakość obrabianej powierzchni, która charakteryzuje się znaczną chropowatością. Przedstawiona praca jest poświęcona badaniu wpływu parametrów skrawania, takich jak szybkość skrawania, szybkość posuwu i głębokość skrawania na chropowatość powierzchni uzyskaną w procesie toczenia stopu tytanu. Przy zbieraniu danych nt. chropowatości powierzchni wykorzystano planowanie eksperymentu metodą Boxa-Behnkena. Do określenia poziomu istotności parametrów skrawania zastosowano metodę analizy wariancji, ANOVA. Sformułowano także równania modelu, pozwalającego przewidzieć chropowatość powierzchni. Optymalne wartości parametrów skrawania wyznaczono, stosując metodę powierzchni odpowiedzi (RSM). Wartości parametrów wyznaczone na podstawie równań regresji są bardzo bliskie wartościom uzyskanym eksperymentalnie.