Gotowe bibliografie tematyczne / Mine haul trucks

Gotowa bibliografia na temat „Mine haul trucks”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Mine haul trucks"

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Lindgren, Lars, Anders Grauers, Jonas Ranggård i Rikard Mäki. "Drive-Cycle Simulations of Battery-Electric Large Haul Trucks for Open-Pit Mining with Electric Roads". Energies 15, nr 13 (2.07.2022): 4871. http://dx.doi.org/10.3390/en15134871.

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Transport of ore and overburden in open-pit mines is often performed with large haul trucks. Battery-electric operation of haul trucks can significantly reduce the CO2 emissions and the fossil fuel dependence of open-pit mining. This simulation study investigates the feasibility and economy of operating large haul trucks battery-electrically, charging from an electric road system in the form of overhead trolley lines. The used simulation model is verified against measurements on diesel-electric haul trucks in normal operation. The simulation model is then tested with five drive cycles representing typical operations in the Aitik copper mine in northern Sweden. This simulation study shows that battery-electric operation with an electric road is feasible. It is shown that battery-electric operation is much cheaper than diesel-electric operation under reasonable assumptions. It is also much cheaper than diesel-electric operation assisted by an electric road.
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Skoczylas, Artur, Artur Rot, Paweł Stefaniak i Paweł Śliwiński. "Haulage Cycles Identification for Wheeled Transport in Underground Mine Using Neural Networks". Sensors 23, nr 3 (25.01.2023): 1331. http://dx.doi.org/10.3390/s23031331.

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The task of ore transportation is performed in all mines, regardless of their type (open pit/underground) or mining process. A substantial number of enterprises utilize wheeled machines to perform ore haulage, especially haul trucks and loaders. These machines’ work consists of repeating cycles, and each cycle can be divided into 4 operations: loading, driving with full box/bucket, unloading and driving with empty box/bucket. Monitoring this process is essential to create analytical tools that support foremen and other management crew in achieving effective and optimal production and planning activities. Unfortunately, information gathered regarding the process is frequently based on operators’ oral testimony. This process not only allows for abuse but is also a repetitive and tedious task that must be performed by foremen. The time and attention of foremen is valuable as they are responsible for managing practically everything in their current mine section (machines, operators, works, repairs, emergencies, safety, etc.). Therefore, the automatization of the described process of information gathering should be performed. In this article, we present two neural network models (one for haul trucks and one for loaders) build for detecting work cycles of the ore haulage process. Both models were built utilizing a 2-stage approach. In the first stage, the models’ structures were optimized, while the second was focused on optimizing hyperparameters for the structure with best performance. Both of the proposed models were trained using data collected from on-board monitoring systems over hundreds of the machines’ work hours and utilized the same input features: vehicle speed, fuel consumption, selected gear and engine rotational speed. Models have been subjected to comprehensive testing during which the efficiency and stability of the model responsible for haul trucks was proven. Results for loaders were not as high quality for haul trucks; however, some interesting facts were discovered that indicate possible directions for future development.
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Chaowasakoo, Patarawan, Heikki Seppälä i Heikki Koivo. "Age-based maintenance for a fleet of haul trucks". Journal of Quality in Maintenance Engineering 24, nr 4 (8.10.2018): 511–28. http://dx.doi.org/10.1108/jqme-03-2017-0016.

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Purpose The most costly part in an open-pit mine is the transportation of material out of the mine. The efficiency of the truck-and-shovel fleet plays a major role in cost control. The paper aims to discuss these issues. Design/methodology/approach The truck dispatching simulation model with consideration of age-based maintenance is proposed. Findings This paper underlines an impact of truck dispatching decisions and reveals remarkable differences in the total production under different approaches of operational availability. Additionally, the simulated results introduce an effective scheduled maintenance for different truck age levels. Originality/value The approach is based on a case study taking into account the stochastic equipment behavior and environment in a real open-pit mine. This approach can be used more generally in situations in which truck fleets are used to transport material.
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Yuri, Voronov, Khoreshok Aleksey, Voronov Artyom, Grishin Sergey i Bujankin Aleksey. "Increase in the Technical Level of Mine Haul Trucks". IOP Conference Series: Materials Science and Engineering 253 (październik 2017): 012006. http://dx.doi.org/10.1088/1757-899x/253/1/012006.

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Reis, Maíra dos Santos, Waldyr Lopes de Oliveira Filho, Ely Oliveira i Gladsney Pena. "Diagnosis about iron ore mine haul roads in the Quadrilátero Ferrífero: Itabira Complex case". Rem: Revista Escola de Minas 67, nr 4 (grudzień 2014): 421–29. http://dx.doi.org/10.1590/0370-44672014670169.

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Although mine haul roads only provide support for mining activities, their role can be quite significant in any effort to optimize transportation with trucks in open pit mining. In 2009, an inventory about the design, construction and maintenance conditions of these structures in mines in the Quadrilátero Ferrífero was undertaken through a partnership between a large mining company and UFOP. Although the conditions of the roads could be considered broadly satisfactory, several points with potential for improvement were observed. This partnership was recently resumed on enlarged bases for an upgrade, but with a quantitative approach and in a representative mine. The report of this mine haul road diagnosis with a feedback on how we can do more and better for mine haul roads are presented in this work.
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Hejase, Bilal, i Umit Ozguner. "Physics-Based Simulation and Automation of a Load-Haul-Dump Operation for an Articulated Dump Truck". Vehicles 4, nr 1 (22.02.2022): 167–81. http://dx.doi.org/10.3390/vehicles4010011.

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Many trucks are used for a class of activities involving a sequence of basic load-haul-dump operations. The repetitiveness of this operation has been an enabler for autonomous vehicle technology in efforts to increase safety and efficiency. In this paper, we present a framework for the automation of the load-haul-dump operation in a mine setting using an articulated dump truck. A simulation environment for the testing of autonomous driving algorithms is developed and a custom mining environment is generated to adapt to our simulation settings. We also present an operational decomposition of the sequence of tasks and develop a finite state machine for high-level decision making based on this decomposition. A path tracking module that considers both bodies of the articulated truck is also developed. The resulting architecture was implemented to achieve autonomy for a load-haul-dump operation in the simulated environment within a fixed path. Experiments show that the proposed FSM-path tracking system can automate the load-haul-dump operation; and that the simulation environment can support the testing and development of autonomous driving algorithms for configurations such as an articulated truck.
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Kawalec, Witold, Robert Król i Natalia Suchorab. "Regenerative Belt Conveyor versus Haul Truck-Based Transport: Polish Open-Pit Mines Facing Sustainable Development Challenges". Sustainability 12, nr 21 (5.11.2020): 9215. http://dx.doi.org/10.3390/su12219215.

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The mining industry is facing sustainable development challenges, among which the energy efficiency issues seem to be of major importance. As transport of the mined ore is considered as one of the most energy intensive operations, the improvement of its energy efficiency is a key indicator in terms of sustainable actions taken by mining companies. In open-pit mines, the material handling operations are mostly performed with trucks. Their electrified version—truck trolley systems—surpass diesel trucks’ efficiency while comparing the increased production capacity and the reduction of maintenance cost and fuel consumption. The paper analyzes the opportunities and benefits of the replacement of an ore transport system based on hauling trucks with a regenerative belt conveying in an open-pit mine. Presented case study has been analyzed from energy consumption and environmental impact reduction perspectives. Generally, conception of a regenerative conveyor is based on recuperation of energy or continuous braking needed while a conveyor is running downhill. Energy generated during the braking process (converted from the potential gravitational energy of the conveyed material) is fed back to the electrical grid. Then the regenerative conveyor can be considered as a machine that mines energy as an additional by-product of an exploited deposit. It was shown that difference in transportation cost between haul trucks and energy efficient regenerative conveyors is around 95%. The paper points the conditioning elements to allow the implementation of a regenerative belt conveyor system.
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Young, Aaron, i William Pratt Rogers. "A High-Fidelity Modelling Method for Mine Haul Truck Dumping Process". Mining 2, nr 1 (11.02.2022): 86–102. http://dx.doi.org/10.3390/mining2010006.

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Dumping is one of the main unit operations of mining. Notwithstanding a long history of using large rear dump trucks in mining, little knowledge exists on the cascading behavior of the run-of-mine material during and after dumping. In order to better investigate this behavior, a method for generating high fidelity models (HFMs) of dump profiles was devised and investigated. This method involved using unmanned aerial vehicles with mounted cameras to generate photogrammetric models of dumps. Twenty-eight dump profiles were created from twenty-three drone flights. Their characteristics were presented and summarized. Four types of dump profiles were observed to exist. Factors that influence the determination of these profiles include the location of the truck relative to the dump crest, the movement of the underlying dump material during the dumping process and the differences in the dump profile prior to dumping. The HFMs created in this study could possibly be used for calibrating computer simulations of dumps to better match reality.
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Bao, Haiming, Peter Knights, Mehmet Kizil i Micah Nehring. "Electrification Alternatives for Open Pit Mine Haulage". Mining 3, nr 1 (1.01.2023): 1–25. http://dx.doi.org/10.3390/mining3010001.

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Truck-Shovel (TS) systems are the most common mining system currently used in large surface mines. They offer high productivity combined with the flexibility to be rapidly relocated and to adjust load/haul capacity and capital expenditure according to market conditions. As the world moves to decarbonise as part of the transition to net zero emission targets, it is relevant to examine options for decarbonising the haulage systems in large surface mines. In-Pit Crushing and Conveying (IPCC) systems offer a smaller environmental footprint regarding emissions, but they are associated with a number of limitations related to high initial capital expenditure, capacity limits, mine planning and inflexibility during mine operation. Among the emerging technological options, innovative Trolley Assist (TA) technology promises to reduce energy consumption for lower carbon footprint mining systems. TA systems have demonstrated outstanding potential for emission reduction from their application cases. Battery and energy recovery technology advancements are shaping the evolution of TAs from diesel-electric truck-based patterns toward purely electrified BT ones. Battery Trolley (BT) systems combined with autonomous battery-electric trucks and Energy Recovery Systems (ERSs) are novel and capable of achieving further significant emission cuts for surface mining operations associated with safety, energy saving and operational improvements. This article reviews and compares electrification alternatives for large surface mines, including IPCC, TA and BT systems. These emerging technologies provide opportunities for mining companies and associated industries to adopt zero-emission solutions and help transition to an intelligent electric mining future.
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Thompson, Roger, Alex Visser, Rusty Miller i Ted Lowe. "Development of Real-Time Mine Road Maintenance Management System Using Haul Truck and Road Vibration Signature Analysis". Transportation Research Record: Journal of the Transportation Research Board 1819, nr 1 (styczeń 2003): 305–12. http://dx.doi.org/10.3141/1819a-44.

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The unpaved road network of a surface mine is extensive, comprising numerous roads of varying construction and material qualities with highly variable traffic volumes. Existing haul road maintenance management systems (MMSs) work well for predictable traffic volumes, but for complex mine road networks, the MMS becomes onerous and results in suboptimal road maintenance strategies, with the attendant increase in total road-user costs and reduction in service. A real-time MMS was thus sought to overcome the deficiencies of existing systems for mine roads. Because most large mines operate trucks with onboard diagnostic data collation, linked through a centralized communication and Global Positioning System backbone, it was proposed that road condition could be monitored on a real-time basis through onboard vibration signature analysis. A real-time mine haul road MMS was developed. Mine road maintenance practices were reviewed. The real-time system architecture was devised, and a field trial was conducted of onboard vibration signature assessment. Trial results were evaluated in the light of road defect signature recognition, analysis, signature repeatability, and system limitations. This approach is applicable to other situations, such as a network of district roads, subject to an analysis of economic feasibility. The conclusion is reached that modern technology has the potential to apply maintenance as and where needed, with possible reductions in authority cost and an improvement in service provided to road users.
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Rozprawy doktorskie na temat "Mine haul trucks"

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Glynn, Patrick Joseph, i n/a. "Collision Avoidance Systems for Mine Haul Trucks and Unambiguous Dynamic Real Time Single Object Detection". Griffith University. Griffith Business School, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060809.163025.

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A suite of new collision avoidance systems (CAS) is presented for use in heavy vehicles whose structure and size necessarily impede driver visibility is introduced. The main goal of the project is to determine the appropriate use of each of the commercially available technologies and, where possible, produce a low cost variant suitable for use in proximity detection on large mining industry haul trucks. CAS variants produced were subjected to a field demonstration and, linked to the output from the earlier CAS 1 project, (a production high-definition in-cabin video monitor and r/f tagging system). The CAS 2 system used low cost Doppler continuous wave radar antennae coupled to the CAS 1 monitor to indicate the presence of an object moving at any speed above 3 Km/h relative to the antennae. The novelty of the CAS 3 system lies in the design of 3 interconnected, modules. The modules are 8 radar antennae (as used in CAS 2) modules located on the truck, software to interface with the end user (i.e. the drivers of the trucks) and a display unit. Modularisation enables the components to be independently tested, evaluated and replaced when in use. The radar antennae modules and the system as a whole are described together with the empirical tests conducted and results obtained. The tests, drawing on Monte-Carlo simulation techniques, demonstrate both the 'correctness' of the implementations and the effectiveness of the system. The results of the testing of the final prototype unit were highly successful both as a computer simulation level and in practical tests on light vehicles. A number of points, (as a consequence of the field test), are reviewed and their application to future projects discussed.
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Glynn, Patrick Joseph. "Collision Avoidance Systems for Mine Haul Trucks and Unambiguous Dynamic Real Time Single Object Detection". Thesis, Griffith University, 2005. http://hdl.handle.net/10072/365488.

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A suite of new collision avoidance systems (CAS) is presented for use in heavy vehicles whose structure and size necessarily impede driver visibility is introduced. The main goal of the project is to determine the appropriate use of each of the commercially available technologies and, where possible, produce a low cost variant suitable for use in proximity detection on large mining industry haul trucks. CAS variants produced were subjected to a field demonstration and, linked to the output from the earlier CAS 1 project, (a production high-definition in-cabin video monitor and r/f tagging system). The CAS 2 system used low cost Doppler continuous wave radar antennae coupled to the CAS 1 monitor to indicate the presence of an object moving at any speed above 3 Km/h relative to the antennae. The novelty of the CAS 3 system lies in the design of 3 interconnected, modules. The modules are 8 radar antennae (as used in CAS 2) modules located on the truck, software to interface with the end user (i.e. the drivers of the trucks) and a display unit. Modularisation enables the components to be independently tested, evaluated and replaced when in use. The radar antennae modules and the system as a whole are described together with the empirical tests conducted and results obtained. The tests, drawing on Monte-Carlo simulation techniques, demonstrate both the 'correctness' of the implementations and the effectiveness of the system. The results of the testing of the final prototype unit were highly successful both as a computer simulation level and in practical tests on light vehicles. A number of points, (as a consequence of the field test), are reviewed and their application to future projects discussed.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Full Text
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Hugo, Daniel. "Haul road defect identification and condition assessment using measured truck response". Diss., University of Pretoria, 2005. http://upetd.up.ac.za/thesis/available/etd-07162008-092104/.

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Pascoe, Todd. "An Evaluation of Driverless Haul Truck Incidents on a Mine Site: A Mixed Methodology". Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/81843.

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The thesis was the first evaluation of driverless haul truck incidents on a mine site by describing the factors that led to a loss of control. A mixed methodology was used to evaluate safety incidents by comparing incident causes to the experiences of mineworkers interacting with the autonomous system. The research explains the safety transformations that occurred on the mine site and provides a way forward for its safe use in the WA Mining Industry.
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Reed, William Randolph. "An Improved Model for Prediction of PM10 from Surface Mining Operations". Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/27085.

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Air quality permits are required for the construction of all new surface mining operations. An air quality permit requires a surface mining operation to estimate the type and amount of pollutants the facility will produce. During surface mining the most common pollutant is particulate matter having an aerodynamic diameter less than 10 microns (PM10). The Industrial Source Complex (ISC3) model, created by the United States Environmental Protection Agency (U.S. EPA), is a model used for predicting dispersion of pollutants from industrial facilities, including surface mines and quarries. The use of this model is required when applying for a surface mining permit. However, the U.S. EPA and mining companies have repeatedly demonstrated that this model over-predicts the amount of PM10 dispersed by surface mining facilities, resulting in denied air quality permits. Past research has shown that haul trucks create the majority (80-90%) of PM10 emissions from surface mining operations. Therefore, this research concentrated on improving the ISC3 model by focusing on modeling PM10 emissions from mobile sources, specifically haul trucks at surface mining operations. Research into the ISC3 model showed that its original intended use was for facilities that emit pollutants via smoke stacks. The method used to improve the ISC3 model consisted of applying the dispersion equation used by the ISC3 model in a manner more representative of a moving haul truck. A new model called the Dynamic Component Program was developed to allow modeling of dust dispersion from haul trucks. To validate the Dynamic Component Program, field experiments were designed and conducted. These experiments measured PM10 from haul trucks at two different surface mining operations. The resulting analysis of the Dynamic Component Program, ISC3 model, and the actual field study results showed that the Dynamic Component Program was a 77% improvement over the ISC3 model overall.
Ph. D.
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Coffey, Jarrad P. "An investigation into opportunities for improvement of surface mine haul road functional design, construction and maintenance". Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/2089.

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Haul road pavement condition has long been considered as having a significant influence on the efficiency of haulage in surface mining. However limited literature exists relating wearing course condition with performance, resulting in mine operators not maximising the potential value of their haul road assets. This project focuses on defining current issues associated with the functional performance of haul roads, through a case study involving three iron ore mines in the Pilbara region of Western Australia. Consequently attempts are then made to relate material properties to performance so that existing criteria can be verified or refined. Cementitious stabilisation and naturally occurring gravels found adjacent to the mines involved in the case study are then trialled via laboratory testing, show promise and lead to a recommendation of subsequent field trials. Pavement lifetime costing is finally completed with the Pilbara environment as the basis, utilising the most appropriate models currently available for pavement condition and vehicle operating and maintenance costs. This resulted in a lack of variability due to material properties, with maintenance variables having a greater effect. Lastly it is found that potential production loss values (net reduction in ore hauled) outweigh expenditure on improved maintenance practice or even material treatments.
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Vukovic, Vladimir. "Reducing Haul Truck Fuel Consumption in Open Pit Mines by Strategic Changes to the Haulage Cycle". Thesis, 2013. http://hdl.handle.net/1974/8422.

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The goals of minimizing emissions and lowering operating costs by monitoring and controlling fuel efficiency have been a growing concern in the mining and construction industries. The largest single contributor of energy consumption in an open pit mining operation is haul trucks. At Goldstrike Mine, haul trucks accounted for approximately 67% of fuel used in 2010. By examining haul trucks in their operating environment, strategic changes in critical parts of the truck cycles can result in fuel savings. This project was a subproject of the Mine Traffic Optimization (MTO) project and is funded by MITACS and Barrick Gold Corporation. One objective of the MTO project was to examine how mine traffic affects fuel efficiency. Certain components of the haulage profile result in inefficient use of fuel, which results in increased operating costs and a larger environmental footprint. Monitoring the trucks in real time allows for the examination of various ways to modify truck’s behaviours in order to improve fuel efficiency. One critical component of the haulage cycle is intersections. An analysis was performed to gain a better understanding of efficient intersection layouts and travel speeds. Cycle time analysis was conducted to ensure that alterations to the haulage cycle would result in minimal impact to the overall productivity of the mine. Modifications to operating practices and simple coding changes to the dispatching program suggest possibilities for potential fuel savings, reduced mechanical degradation, and improved operation efficiency.
Thesis (Master, Mining Engineering) -- Queen's University, 2013-09-30 19:22:29.328
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Pelser, Marikie Karen. "The concurrent validity of learning potential and psychomotor ability measures for the selection of haul truck operators in an open-pit mine". Thesis, 2002. http://hdl.handle.net/10500/1522.

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The purpose of the present study was to determine the concurrent validity of learning potential and psychomotor ability measures for the prediction of haul truck operator (N=128) performance in an open-pit mine. Specific aims were to determine the nature of the relationship between learning potential and psychomotor ability; whether there are higher order cognitive or psychomotor factors present in the combined use of the TRAM 1 and Vienna Test System measures; and the relative contribution of learning potential and psychomotor ability in the prediction of haul truck operator performance. The validity of learning potential and psychomotor ability measures was partially supported. A positive correlation between general (cognitive) ability (g) and psychomotor ability was reported. Factor analysis provided relatively consistent evidence for a general (cognitive) ability factor (g) underlying performance on all measures. The relative contribution of learning potential and psychomotor ability in the prediction of performance could not be established.
Industrial and Organisational Psychology
M. Com. (Industrial and Organisational Psychology)
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Części książek na temat "Mine haul trucks"

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Curi, Adilson, Walter Schmidt Felsch, E. Cunha Rodovalho i B. Prado Meireles. "Evaluation of Haul Trucks Performance in a CSN Mine". W Mine Planning and Equipment Selection, 1143–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_111.

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Terblanche, Petrus J., Michael P. Kearney, Clay S. Hearn i Peter F. Knights. "Technology Selection and Sizing of On-Board Energy Recovery Systems to Reduce Fuel Consumption of Diesel-Electric Mine Haul Trucks". W Energy Efficiency in the Minerals Industry, 301–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54199-0_17.

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Soofastaei, Ali, i Milad Fouladgar. "Advanced Analytics for Haul Trucks Energy-Efficiency Improvement in Surface Mines". W Advanced Analytics in Mining Engineering, 539–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91589-6_17.

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White, James Wm, i Jonathan P. Olson. "Efficient optimal algorithms for haul truck dispatching in open pit mines". W Off-Highway Haulage in Surface Mines, 31–37. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203745090-4.

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Soofastaei, Ali, i Milad Fouladgar. "Improve Energy Efficiency in Surface Mines Using Artificial Intelligence". W Energy Efficiency [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.101493.

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This chapter demonstrates the practical application of artificial intelligence (AI) to improve energy efficiency in surface mines. The suggested AI approach has been applied in two different mine sites in Australia and Iran, and the achieved results have been promising. Mobile equipment in mine sites consumes a massive amount of energy, and the main part of this energy is provided by diesel. The critical diesel consumers in surface mines are haul trucks, the huge machines that move mine materials in the mine sites. There are many effective parameters on haul trucks’ fuel consumption. AI models can help mine managers to predict and minimize haul truck energy consumption and consequently reduce the greenhouse gas emission generated by these trucks. This chapter presents a practical and validated AI approach to optimize three key parameters, including truck speed and payload and the total haul road resistance to minimize haul truck fuel consumption in surface mines. The results of the developed AI model for two mine sites have been presented in this chapter. The model increased the energy efficiency of mostly used trucks in surface mining, Caterpillar 793D and Komatsu HD785. The results show the trucks’ fuel consumption reduction between 9 and 12%.
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Kaniewski, Tomasz, Paweł Śliwiński, Justyna Hebda-Sobkowicz i Radoslaw Zimroz. "Comprehensive, experimental verification of the effects of the lock-up function implementation in LHD haul trucks in the deep underground mine". W Mining Goes Digital, 506–14. CRC Press, 2019. http://dx.doi.org/10.1201/9780429320774-58.

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Soofastaei, Ali, i Milad Fouladgar. "Energy Efficiency Improvement in Surface Mining". W Energy Recovery [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104262.

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This chapter aims to provide an overview of energy efficiency in the mining industry with a particular focus on the role of fuel consumption in hauling operations in mining. Moreover, as the most costly aspect of surface mining with a significant environmental impact, diesel consumption will be investigated in this chapter. This research seeks to develop an advanced data analytics model to estimate the energy efficiency of haul trucks used in surface mines, with the ultimate goal of lowering operating costs. Predicting truck fuel consumption can be accomplished by first identifying the significant factors affecting fuel consumption: total resistance, truck payload, and truck speed. Second, developing a comprehensive analysis framework. This framework involves generating a fitness function from a model of the relationship between fuel consumption and its affecting factors. Third, the model is trained and tested using actual data from large surface mines in Australia, obtained through field research. Finally, an artificial neural network is selected to predict haul truck fuel consumption. The visualized results also clarify the general minimum areas in the plotted fuel consumption graphs. These areas potentially open a new window for researchers to develop optimization models to minimize haul truck fuel consumption in surface mines.
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Soofastaei, Ali, Peter Knights i Mehmet Kizil. "Application of Advanced Data Analytics to Improve Haul Trucks Energy Efficiency in Surface Mines". W Extracting Innovations, 163–79. CRC Press, 2018. http://dx.doi.org/10.1201/b22353-12.

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Śliwiński, Paweł, Tomasz Kaniewski, Justyna Hebda-Sobkowicz, Radoslaw Zimroz i Agnieszka Wylomańska. "Analysis of dynamic external loads to haul truck machine subsystems during operation in a deep underground mine". W Mining Goes Digital, 515–24. CRC Press, 2019. http://dx.doi.org/10.1201/9780429320774-59.

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Streszczenia konferencji na temat "Mine haul trucks"

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Cakdi, Sabri, Scott Cummings i John Punwani. "Heavy Haul Coal Car Wheel Load Environment: Rolling Contact Fatigue Investigation". W 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5640.

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Railway wheels and rails do not achieve full wear life expectancy due to the combination of wear, plastic deformation, and surface, subsurface, and deep subsurface cracks. Sixty-seven percent of wheel replacement and maintenance in North America is associated with tread damage [1]. Spalling and shelling are the two major types of wheel tread damage observed in railroad operations. Spalling and slid flat defects occur due to skidded or sliding wheels caused by, in general, unreleased brakes. Tread shelling (surface or shallow subsurface fatigue) occurs due to cyclic normal and traction loads that can generate rolling contact fatigue (RCF). Shelling comprises about half of tread damage related wheel replacement and maintenance. The annual problem size associated with wheel tread RCF is estimated to be in the tens of millions of dollars. The total cost includes maintenance, replacement, train delays and fuel consumption. To study the conditions under which RCF damage accumulates, a 36-ton axle load aluminum body coal car was instrumented with a high accuracy instrumented wheelset (IWS), an unmanned data acquisition (UDAC) system, and a GPS receiver. This railcar was sent to coal service between a coal mine and power plant, and traveled approximately 1,300 miles in the fully loaded condition on each trip. Longitudinal, lateral, and vertical wheel-rail forces were recorded continuously during four loaded trips over the same route using the same railcar and instrumentation. The first two trips were conducted with non-steering 3-piece trucks and the last two trips were conducted with passive steering M-976 compliant trucks to allow comparison of the wheel load environment and RCF accumulation between the truck types. RCF initiation predictions were made using “Shakedown Theory” [2]. Conducting two trips with each set of trucks allowed for analysis of the effects of imbalance speed conditions (cant deficiency or excess cant) at some curves on which the operating speeds varied significantly between trips.
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Geddes, Brian, Chris Wenzel, Michael Owen, Mark Gardiner i Julie Brown. "Remediation of Canada’s Historic Haul Route for Radium and Uranium Ores: The Northern Transportation Route". W ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59303.

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Established in the 1930s, the Northern Transportation Route (NTR) served to transport pitchblende ore 2,200 km from the Port Radium Mine in Canada’s Northwest Territories to Fort McMurray in Alberta. From there, the ore was shipped 3,000 km by rail to the Town of Port Hope, Ontario, where it was refined for its radium content and used for medical purposes. Later, transport and refinement focussed on uranium. The corridor of lakes, rivers, portages and roads that made up the NTR included a number of transfer points, where ore was unloaded and transferred to other barges or trucks. Ore was occasionally spilled during these transfer operations and, in some cases, subsequently distributed over larger areas as properties were re-developed or modified. In addition, relatively small volumes of ore were sometimes transported by air to the south. Since 1991, the Low-Level Radioactive Waste Management Office (LLRWMO), working with communities and its consulting contractors, has conducted surveys to identify and characterize spill sites along the NTR where soils exhibit elevated concentrations of uranium, radium and/or arsenic. In addition to significant areas of impact in Fort McMurray, contamination along the NTR was centred in the Sahtu region near Great Bear Lake and along the southern part of the Slave River. Early radiological investigations found contaminated buildings and soil and occasionally discrete pieces of pitchblende ore at many transfer points and storage areas along the NTR. Where possible, survey work was undertaken in conjunction with property redevelopment activity requiring the relocation of impacted soils (e.g., at Tulita, Fort Smith, Hay River, and Fort McMurray). When feasible to consolidate contaminated material locally, it was placed into Long Term Management Facilities developed to manage and monitor the materials over extended timelines. Radiological activity generated by these engineered facilities are generally below thresholds established by Canadian regulators, meaning they are straightforward to maintain, with minor environmental and community impacts. Securing community acceptance for these facilities is critical, and represents the predominant development component of plans for managing ore-impacted soils. In those circumstances where local consolidation is not achievable, materials have been relocated to disposal facilities outside of the region. The LLRWMO is continuing a program of public consultation, technical evaluation and environmental assessment to develop management plans for the remaining ore-impacted sites on the NTR. This paper will highlight current activities and approaches applied for the responsible management of uranium and radium mining legacies.
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Prem, Hans. "Off-Highway Mine Haul Truck Dynamics Simulation". W International Off-Highway & Powerplant Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/981982.

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Richardson, Shane, i John McIver. "Improving Mine Haul Road Roughness to Reduce Haul Truck Fuel Consumption". W 18th Asia Pacific Automotive Engineering Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-01-0050.

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Jobes, Christopher C., Peter Bissert, Nina Mahmoudian i Bingxi Li. "Development of Parameters for Dynamic Modeling of Underground Haulage Vehicles". W ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65381.

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To address concerns of how mobile proximity detection systems will adapt to underground mobile haulage vehicles, researchers have collected and categorized data on the parameters of 145 mine haulage vehicles in 5 categories including load-haul-dump, shuttle car, roof bolter, haul truck, and mobile coal haulage (face drill, production drill, and others.) Statistical methods were used to determine the appropriate representative vehicle for each category. These representative vehicles’ parameters and characteristics could then be used to develop a dynamic model that predicts their dynamic behavior on an underground haulageway surface. These models can be used in conjunction with worker escapability data and/or interaction with other vehicles to provide insight as to whether or not the proximity detection systems will be adequate for the underground mining workplace.
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Rafi, Md Ahsanul Hoque, Robert Rennie, John Larsen i Jennifer Bauman. "Investigation of Fast Charging and Battery Swapping Options for Electric Haul Trucks in Underground Mines". W 2020 IEEE Transportation Electrification Conference & Expo (ITEC). IEEE, 2020. http://dx.doi.org/10.1109/itec48692.2020.9161654.

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