Advanced Analytics for Mining Industry

Soofastaei, Ali

doi:10.1007/978-3-030-91589-6_1

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…Availability is defined as the ratio of the total performance hours during which mining equipment appropriately performs its functions. This study divides availability into two parts: (i) technical availability rate, Equations ( 2)-( 4), and (ii) mechanical availability rate, Equation (5). This allows us to analyze the breakdown time to determine if the maintenance policy works accurately.…”

Section: Availability Ratementioning

confidence: 99%

“…Equation ( 5) displays the mechanical availability rate. Am = Ht − Hb Ht × 100 (5) where Hb represents breakdown hours.…”

Section: Availability Ratementioning

confidence: 99%

“…The important challenges facing the mining sector require that mining operations become more dynamic and agile [5]. Thus, the analysis of real-time performance can be useful for understanding the process behavior.…”

Section: Introductionmentioning

confidence: 99%

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New Method to Study the Effectiveness of Mining Equipment: A Case Study of Surface Drilling Rigs

Gutiérrez-Diez,

Castañón,

Bascompta

2024

Applied Sciences

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The sustainable development of mining processes requires a deep knowledge of the effectiveness of mining equipment and is quite complex to analyze due to the intrinsic characteristics of the mining industry. In this regard, its measurement and control can lead to appropriate management, improving the mining processes’ efficiency, increasing safety levels, and reducing environmental impacts. This paper developed a new methodology to study the effectiveness of equipment in mining processes, researching the impacts of process management, process control, operating conditions, operational mining schedule, and maintenance programs on the effectiveness of drilling rig fleets using two actual coal mines located in the northwest of Spain and data collected over 10 years. Thus, a new method, called Overall Mining Equipment Effectiveness (OMEE), was developed, verifying its appropriateness and flexibility to analyze the effectiveness of mining equipment by examining the availability rate, utilization rate, and productivity index.

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Section: Availability Ratementioning

confidence: 99%

“…Equation ( 5) displays the mechanical availability rate. Am = Ht − Hb Ht × 100 (5) where Hb represents breakdown hours.…”

Section: Availability Ratementioning

confidence: 99%

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New Method to Study the Effectiveness of Mining Equipment: A Case Study of Surface Drilling Rigs

Gutiérrez-Diez,

Castañón,

Bascompta

2024

Applied Sciences

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“…2 Numerical analysis has the benefit of simplifying experimental research, which can be more expensive, time-consuming, and occasionally impractical. 3,4 Because numerical approaches rely on approximations, they produce approximate results that are similar to experimental data. The last 10 years have seen the development of numerical methods as the preferred choice for numerical analysis of polymer composites, with applications spanning the automotive, aerospace, and construction industries.…”

Section: Introductionmentioning

confidence: 99%

Comparison of different failure criteria in numerical modeling of electron beam cured polymer nanocomposites

Kumar,

Saini,

Singh

et al. 2024

Journal of Composite Materials

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In recent times, fibre reinforced polymer (FRP) composites have overtaken the huge market in the world replacing the old conventional materials due to its significant properties. The experimental work conducted to gather the mechanical properties takes alot of time as FRP composites comprises of various geometrical parameters. Therefore, to reduce the experimental encumbrance, the current work is focused on the numerical analysis using different failure criteria, to examine the bearing response of electron beam cured carbon fibre/epoxy (CF/E) composites joint and to get a suitable numerical model. In order to identify the failure of carbon-fibre/polymer composites joints, this work coupled progressive damage analysis (PDA) with the most appropriate failure criteria, namely the Hashin, Tsai-Wu and Maximum stress criteria. Results show that Hashin criterion gave the best suited bearing response predictions. Hashin criterion predicted the maximum bearing capacity in pristine joint specimens, in between 11 and 17% for greater values of W/D and E/D ratios. In multiwalled carbon nanotubes (MWCNTs) added joint specimens, the predicted values by Hashin criterion is in between 14 and 20%.

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Advanced Analytics for Mining Industry

Cited by 2 publications

References 15 publications

New Method to Study the Effectiveness of Mining Equipment: A Case Study of Surface Drilling Rigs

New Method to Study the Effectiveness of Mining Equipment: A Case Study of Surface Drilling Rigs

Comparison of different failure criteria in numerical modeling of electron beam cured polymer nanocomposites

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