Effect of high hyperbaric pressure on rock cutting process

Grima, M. Alvarez; Miedema, S.A.; Ketterij, R.G. van de; Yenigül, N.B.; Rhee, Cees van

doi:10.1016/j.enggeo.2015.06.016

Cited by 44 publications

(15 citation statements)

References 10 publications

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“…To predict and understand the underwater excavation mechanism of a tool-rock system, Miedema performed a series of studies, including the development of a mathematical model to estimate the cutting forces for underwater hyperbaric conditions and comparison with atmospheric rock cutting [6][7][8], and performed a cutting experiment in a pressure tank [9]. Chen et al established a numerical model of the dredging excavation by using both the discrete element method (DEM) to model the solid particles and the finite volume method to compute the fluid pressure [10].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of a Mining Machine Excavating Seabed Massive Sulfide Deposits

Dai¹,

Chen²,

Zhu³

2016

Int. j. simul. model.

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In this research, the mechanical characteristic parameters of the seabed massive sulfide (SMS) are obtained quantitatively using laboratory uniaxial compression strength (UCS) test and triaxial compression strength (TCS) test. A three-dimensional discrete element (DEM) model of the SMS is developed in the EDEM simulation environment and are then validated by numerically simulating the laboratory UCS and indirect tensile strength (Brazilian disc) tests. A new counter-rotating pick-type drum cutter for excavating the SMS is proposed, and a corresponding DEM model for the excavation process is established. Numerical simulations for the new counter-rotating cutter and a traditional single-rotating cutter are conducted, and the cutter forces in three orthogonal directions and the torques are obtained and compared. By integrating the new counter-rotating cutter, a three-dimensional multi-rigid-body dynamic model of a SMS mining machine is developed in the RecurDyn simulation environment, and simulations are conducted to evaluate its trafficability and mobility performance under the effect of the excavating cutter on the seabed complex terrain. This research can provide valuable and effective modelling methods for seabed mineral excavation process simulation, mining tool optimization and design and mining machine performance evaluation.

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Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of a Mining Machine Excavating Seabed Massive Sulfide Deposits

Dai¹,

Chen²,

Zhu³

2016

Int. j. simul. model.

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“…Other discrete element-based methods have been considered too time consuming and resource demanding, as each block would require a separate study for itself (examples of such studies in [28][29][30]). In addition, Miedema's model gives results similar to hyperbaric rock cutting experiments [24] and has been used for the preliminary design of trenching equipment [31]. Using Miedema's convention, the E sp can be expressed as a function of the horizontal cutting forces, F h , the depth of cut trench, h i , and the width of the blade, w:…”

Section: Specific Energymentioning

confidence: 99%

“…The excavation of rock in the hyperbaric environment is different from surface mechanical excavation because additional forces can appear during the cutting process as a result of cavitation in the failure area; the rock will tend to change its behavior from brittle to ductile [24]. Hyperbaric forces appear as well during the dredging process of sand and by extension should be taken into consideration for the excavation of sediments [25].…”

Section: Specific Energymentioning

confidence: 99%

Economic Block Model Development for Mining Seafloor Massive Sulfides

2018

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To support open-pit studies related to seafloor massive sulfides mining projects, an economic block-model is required. A modular framework is proposed to produce economic block models accommodating various levels of data. The framework is illustrated on a site of interest located on the Arctic Mid-Ocean Ridge. Random sampling based on literature datasets is performed to assign grades, porosity and grain density to the model. Other required parameters are produced using relationships found in the literature. Revenues are estimated using literature values within a net smelter return methodology. Mining costs are determined using the cost of a mining system and the estimated time required for excavating the ore. The excavating time is assessed through the specific energy for the ore and the mining machines. The specific energy is calculated with a hyperbaric rock-cutting model. An economic block value of each mining block is then provided. The mining block database resulting from the study constitutes a valuable input into further studies on resource development. The framework has also been used to support a sensitivity study. The availability of the marine assets has been found as having the greatest influence on the economic value of the study case.

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“…However, the major difference between them is of course related to their environments, particularly the pressure and the temperature of the mining location. According to [7], the cutting forces needed to crack the rocks are 4 to 6 times higher in 180 bar (equivalent to 1800 m water depth) than in the atmospheric conditions. Therefore, seafloor mining vehicles require significantly more energy than their corresponding onshore ones to do their missions in high hydrostatic pressure.…”

Section: Terrestrial Vs Seafloor Miningmentioning

confidence: 99%

Power System Design Considerations for a Seafloor Mining Vehicle

Fard

Tedeschi

2018

2018 IEEE Energy Conversion Congress and Exposition (ECCE)

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The main goal of this paper is to give a framework for designing the power distribution system for seafloor mining vehicles operating in deep and ultra-deep waters. As the starting point prior to the design, the tethered seafloor mining vehicles are compared with their counterparts in the terrestrial mines and the well-developed remotely operated vehicles. Then, various power distribution alternatives are studied and compared taking into account the main design criteria such as efficiency and size of components. Although the major loads of these vehicles are AC motor loads for drilling, pumping and locomotion, it is concluded that the DC distribution, both in topside and subsea sections, is the best option. Typical values for efficiency and volume grades (normalized values) for the major components in the distribution system have been considered in the calculations.

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Effect of high hyperbaric pressure on rock cutting process

Cited by 44 publications

References 10 publications

Modelling and Simulation of a Mining Machine Excavating Seabed Massive Sulfide Deposits

Modelling and Simulation of a Mining Machine Excavating Seabed Massive Sulfide Deposits

Economic Block Model Development for Mining Seafloor Massive Sulfides

Power System Design Considerations for a Seafloor Mining Vehicle

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