The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Juliana Piña - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Simulation and Optimization of a Urea Granulation Circuit
Industrial & Engineering Chemistry Research, 2010Co-Authors: Ivana M. Cotabarren, Verónica Bucalá, Diego E. Bertin, Jose A. Romagnoli, Juliana PiñaAbstract:A dynamic model for a complete urea granulation circuit is presented in this work. The flowsheet includes a fluidized bed granulator, a cooling unit, a vibrating double-deck screen, and a double-Roll Crusher. This contribution is based on mathematical models for all the equipments, some of them previous validated against industrial data. All the units are modeled by means of the population balance equation (PBE). In addition, the granulator energy and mass balances for urea and air (used as a cooling medium and fluidization agent) are solved simultaneously with the PBE to properly represent the unit dynamics. Furthermore, mass, energy, and population balances are developed for the cooler. The individual units are successfully integrated under the gPROMS Model Builder Environment, which allows one to have a powerful tool for the circuit simulation and optimization. A sensitivity analysis is performed by running several dynamic and steady-state gPROMS simulations in order to evaluate the influence of differ...
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Modeling of an industrial double-Roll Crusher of a urea granulation circuit
Powder Technology, 2008Co-Authors: Ivana M. Cotabarren, Pablo Gastón Schulz, Verónica Bucalá, Juliana PiñaAbstract:Abstract Since for granulation processes the Crusher operation has a decisive influence on the system stability, a reliable mathematical model to represent an industrial double-Roll Crusher of a urea granulation circuit is provided in this work. The Crusher was described by the model given by Austin et al. [Austin L.G., Van Orden D.R., Perez J.W. A Preliminary Analysis of Smooth Roll Crushers, International Journal of Mineral Processing, 6 (1980), 321–336.] for mineral processing. The breakage parameters estimation was based on industrial data. The experimental particle size distributions of the feed, intermediate and product streams were obtained from large-scale Crushers belonging to a urea granulation plant with a nominal capacity of 1 million tons/year. The results indicate that the model reproduces in a very accurate way the performance of this type of Crushers, being a useful tool to: a) optimize the gap setting to meet specific crushed particle size distribution requirements and b) be included as a mathematical module in a plant simulator of the whole urea granulation circuit.
Dong Shen - One of the best experts on this subject based on the ideXlab platform.
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Study on Distribution of Teeth on Roll Shaft of Sintering Single Roll Crusher
Science and Technology of Baotou Steel, 2014Co-Authors: Dong ShenAbstract:In order to extend the service life of single tooth Roller,the distribution of teeth on Roll shaft of single Roll Crusher could be different. In the article,the optimization selection scheme is put forward through analyzing the effects of different distributions on energy saving.
Zhou Zhuo-lin - One of the best experts on this subject based on the ideXlab platform.
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Research on abrasion resistance technique for sinter single-Roll Crusher
Machinery Design and Manufacture, 2011Co-Authors: Zhou Zhuo-linAbstract:Sinter single-Roll Crusher is an important component of the sinter production line,which operating environment and nature decides that it must possess properties of high-temperature resistance and abrasion resistance.First the invalid reasons and abrasive wear mechanism are studied aim at the problems of easy worn and short service life of the single-Roll Crusher.A conclusion is made that the abrasion pattern is abrasive wear happens under high-temperature environment with forms of chiseling and cutting.Then a structural design with abrasion resistance is studied,simultaneously its materials selection and hardfacing technics are also analyzed and discussed.Afterwards,one single-Roll Crusher with characteristics of long service life and abrasion resistance is designed.which is proved in the engineering practice that the proposed anti-wear technology for single-Roll Crusher is viable and effective.
Ivana M. Cotabarren - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Simulation and Optimization of a Urea Granulation Circuit
Industrial & Engineering Chemistry Research, 2010Co-Authors: Ivana M. Cotabarren, Verónica Bucalá, Diego E. Bertin, Jose A. Romagnoli, Juliana PiñaAbstract:A dynamic model for a complete urea granulation circuit is presented in this work. The flowsheet includes a fluidized bed granulator, a cooling unit, a vibrating double-deck screen, and a double-Roll Crusher. This contribution is based on mathematical models for all the equipments, some of them previous validated against industrial data. All the units are modeled by means of the population balance equation (PBE). In addition, the granulator energy and mass balances for urea and air (used as a cooling medium and fluidization agent) are solved simultaneously with the PBE to properly represent the unit dynamics. Furthermore, mass, energy, and population balances are developed for the cooler. The individual units are successfully integrated under the gPROMS Model Builder Environment, which allows one to have a powerful tool for the circuit simulation and optimization. A sensitivity analysis is performed by running several dynamic and steady-state gPROMS simulations in order to evaluate the influence of differ...
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Modeling of an industrial double-Roll Crusher of a urea granulation circuit
Powder Technology, 2008Co-Authors: Ivana M. Cotabarren, Pablo Gastón Schulz, Verónica Bucalá, Juliana PiñaAbstract:Abstract Since for granulation processes the Crusher operation has a decisive influence on the system stability, a reliable mathematical model to represent an industrial double-Roll Crusher of a urea granulation circuit is provided in this work. The Crusher was described by the model given by Austin et al. [Austin L.G., Van Orden D.R., Perez J.W. A Preliminary Analysis of Smooth Roll Crushers, International Journal of Mineral Processing, 6 (1980), 321–336.] for mineral processing. The breakage parameters estimation was based on industrial data. The experimental particle size distributions of the feed, intermediate and product streams were obtained from large-scale Crushers belonging to a urea granulation plant with a nominal capacity of 1 million tons/year. The results indicate that the model reproduces in a very accurate way the performance of this type of Crushers, being a useful tool to: a) optimize the gap setting to meet specific crushed particle size distribution requirements and b) be included as a mathematical module in a plant simulator of the whole urea granulation circuit.
A K Mukhopadhyay - One of the best experts on this subject based on the ideXlab platform.
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wear characterization and modelling of mn steel liners used in rock Crushers
Perspectives on Science, 2016Co-Authors: Rahul Sinha, A K MukhopadhyayAbstract:Summary There are several techniques such as surface profilometry, advanced technique of electron microscopy and optical methods which have been used by researchers to determine the measurement of wear and it is found useful to understand the surface geometry of the material. In mining industries, wear is acute in rock Crusher. This work explores the characterization of wear observed on the surface of liner material of Roll Crusher crushing coal. Wear characterization like ploughing, scratching, cavities has been observed on the surface of liners. To correlate wear characterization due to abrasion on Roll Crusher liner wear, experiments have been performed. To perform abrasive wear test, pin-shaped sample of liner material has been developed for the purpose of testing. The abrasive wear experiment was conducted using pin-on-disc tribometer. During the investigation, experiments based on full factorial design adopted from statistical modelling software. In this methodology, the input parameters like load, sliding distance, hardness of coal, hardness of liner material are taken into consideration, and weight loss was considered as the output response. The influence of each input parameters were examined to understand its effect for weight loss. The regression equation obtained from analysis of variance table was used for the prediction of weight loss. The regression equation developed was validated with the experimental results. The percentage error was observed less than ±10%.
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Wear characterization and modelling of Mn−steel liners used in rock Crushers ☆
Perspectives on Science, 2016Co-Authors: Rahul Sinha, A K MukhopadhyayAbstract:Summary There are several techniques such as surface profilometry, advanced technique of electron microscopy and optical methods which have been used by researchers to determine the measurement of wear and it is found useful to understand the surface geometry of the material. In mining industries, wear is acute in rock Crusher. This work explores the characterization of wear observed on the surface of liner material of Roll Crusher crushing coal. Wear characterization like ploughing, scratching, cavities has been observed on the surface of liners. To correlate wear characterization due to abrasion on Roll Crusher liner wear, experiments have been performed. To perform abrasive wear test, pin-shaped sample of liner material has been developed for the purpose of testing. The abrasive wear experiment was conducted using pin-on-disc tribometer. During the investigation, experiments based on full factorial design adopted from statistical modelling software. In this methodology, the input parameters like load, sliding distance, hardness of coal, hardness of liner material are taken into consideration, and weight loss was considered as the output response. The influence of each input parameters were examined to understand its effect for weight loss. The regression equation obtained from analysis of variance table was used for the prediction of weight loss. The regression equation developed was validated with the experimental results. The percentage error was observed less than ±10%.
