Comparison of low-grade hematite product characteristics in a high-pressure grinding roller and jaw crusher

Han, Yuexin; Liu, Lei; Yuan, Zhulin; Wang, Zehong; Zhang, Patrick

doi:10.1007/bf03402397

Cited by 10 publications

(8 citation statements)

References 11 publications

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“…Han et al [16] compared the hematite product characteristics in a high-pressure grinding roller and jaw crusher. They found that the grinding roller achieved a more uniform size distribution, more fines, and a higher crushing efficiency.…”

Section: Existing Crushers Designsmentioning

confidence: 99%

Finite Element and Multibody Dynamics Analysis of a Ball Mill Glass Crusher

Rishmany

Imad

2023

Modelling and Simulation in Engineering

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Recycling and sustainability constitute a major challenge to preserve human life quality and ensure a good standard of living for future generations. Like other recyclable waste products, glass waste can be a major problem if it is not recycled. When glass waste is turned into powder, environmental impacts are minimized by reducing or eliminating the dependency on landfills. Within this context, the objective of this work is to design a low-cost glass crusher machine that can be acquired by individuals. For this purpose, a glass crusher machine based on the ball mill concept is designed to transform glass waste into powder of 2 mm particle size. The main enhanced features of this machine with respect to state-of-the-art designs are the continuous feed aspect and the powder discharge technique. The design methodology consisted of mathematical modeling coupled with numerical simulations to ensure a safe and functioning design. This was achieved via different types of simulations using SolidWorks: static stress analysis, free vibration analysis, and motion study. Finally, a market study shows that a breakeven period is reached after a period of 5 months.

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Section: Existing Crushers Designsmentioning

confidence: 99%

Finite Element and Multibody Dynamics Analysis of a Ball Mill Glass Crusher

Rishmany

Imad

2023

Modelling and Simulation in Engineering

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“…The extension and growth of cracks creates new surface area and thus increases the porosity. The specific surface area and pore volume for six size fractions of different crushed products were estimated using the low-temperature N 2 adsorption-desorption method (Han, 2012). Each test sample was 4 g. Table II shows that the specific surface area and pore volume increase with decreasing product size for both HPGR and JC products.…”

Section: Influence Of Crushing Process On Specific Surface Area and Pmentioning

confidence: 99%

“…Comminution in a HPGR is achieved by the compression of a confined bed of particles, thus generating high interparticle stresses, which result in the generation of a greater number of microcracks as well as a higher fraction of fines in comparison to conventional crushing processes (Ghorbani et al, 2013;Aydogan, Ergün, and Benzer, 2006;Torres and Casali, 2009). The HPGR is considered to be a promising new technology, with confined-bed comminution compared to conventional crushing technologies such as jaw crushing which mainly employ stressing between two metal surfaces (Han, 2012;Tavares, 2005).…”

mentioning

confidence: 99%

Investigation of microcrack formation in vanadium-titanium magnetite using different crushing processes

Guo¹,

Cui²,

Dai³

et al. 2019

J. S. Afr. Inst. Min. Metall.

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Characteristics of microcracks in vanadium-titanium magnetite crushed by high pressure grinding roll (HPGR) and conventional jaw crusher (JC) were investigated. In crushing by both HPGR and JC, stress cracks, intragranular cracks, and cleavage cracks were developed. Stress cracking was the initial stage and fundamental basis of fracture. The intragranular cracking could accelerate the comminution process and thus increase the content of fine particles in the crushed products. Cleavage cracking could enhance the liberation of valuable minerals and gangue minerals. Narrow size fraction samples were prepared and characterized by optical microscopy, scanning electron microscopy (SEM), the Brunauer, Emmett, and Teller (BET) method, mineral liberation analyser (MLA), and Bond ball mill. The specific surface area and pore volume of the HPGR products were found to be significantly higher than for JC products due to the presence of abundant microcracks and a higher fraction of fine particles. Compared to the JC products, the HPGR products showed a better degree of liberation and lower Bond ball mill work index (BWI), although the difference gradually decreased with increasing fineness of grind. The application of HPGR not only reduces the energy consumption in the subsequent grinding process, but also optimizes the separation of vanadium-titanium magnetite and improves the TiO 2 recovery in ilmenite.

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“…It is essential to develop an efficient method of reducing the energy consumption of crushing and grinding operations. These processes expend more than 50% of the total energy in mineral processing plants [ 2 ]. It is also estimated that size reduction accounts for up to 50% of the energy used in mining operations [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Knowledge-Driven AI System for Air Classification Process

et al. 2021

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Air classifier devices have a distinct advantage over other systems used to separate materials. They maximize the mill’s capacity and therefore constitute efficient methods of reducing the energy consumption of crushing and grinding operations. Since improvement in their performance is challenging, the development of an efficient modeling system is of great practical significance. The paper introduces a novel, knowledge-based classification (FLClass) system of bulk materials. A wide range of operating parameters are considered in the study: the mean mass and the Sauter mean diameter of the fed material, classifier rotor speed, working air pressure, and test conducting time. The output variables are the Sauter mean diameter and the cut size of the classification product, as well as the performance of the process. The model was successfully validated against experimental data. The maximum relative error between the measured and predicted data is lower than 9%. The presented fuzzy-logic-based approach allows an optimization study of the process to be conducted. For the considered range of input parameters, the highest performance of the classification process is equal to almost 362 g/min. To the best of our knowledge, this paper is the first one available in open literature dealing with the fuzzy logic approach in modeling the air classification process of bulk materials.

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Comparison of low-grade hematite product characteristics in a high-pressure grinding roller and jaw crusher

Cited by 10 publications

References 11 publications

Finite Element and Multibody Dynamics Analysis of a Ball Mill Glass Crusher

Finite Element and Multibody Dynamics Analysis of a Ball Mill Glass Crusher

Investigation of microcrack formation in vanadium-titanium magnetite using different crushing processes

Comprehensive Knowledge-Driven AI System for Air Classification Process

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