Dragline is one of the crucial heavy earth moving machines (HEMM) which is used in opencast mine. It has significant role in opencast mine to improve the overall production and remove the overburden; performance of dragline depends on the reliability, availability and maintainability (RAM) of the subsystems. The regular or irregular occurrence of failures affects the performance of dragline and sudden failure of any component will stop the functioning which impacts on the
huge loss in terms of production and financial. Also, it may be catastrophic for personnel who are working around or on it. The aim of this paper is to investigate the RAM of the critical components and subsystems of dragline using the failure and repair time data. The trend and serial correlation tests have been used to determine that dataare independent and identically distributed (IID) or not and the statistical techniques have been applied for RAM modelling. For
improving the reliability of dragline, reliability-based preventive maintenance method has been used.
As the mines are growing bigger the need for the advancement has also increased. The computer aided mine planning and design techniques have come as an advantage for mining industry. This project aims to exhibit the implementation of computer aided mine planning and design
techniques in mining industry which gives more accuracy and reliability of mine plan. Opencast mine planning is a multi-parameter optimization problem which requires simultaneous solution. This project emphasises on the optimized planning of limestone mine where the ore is categorized into lithologies on the basis of percentage of CaO present. It uses software such as SURPAC for geological modelling, block modelling, ore reserve estimation using geostatistical model and pit design. The estimation is done using kriging which shows that the percentage of CaO varies from 30.24 % to 47.05% which helps in determining the minable ore. It also aims at the optimization of various techno-economic parameters which play vital role in mine planning and design aspects.
The Successive Alkalinity Producing System (SAPS) is widely accepted for the treatment of acid mine drainage (AMD). The effectiveness of SAPS depends upon many parameters such as hydraulic retention time (HRT), influent quality, characteristics of organic substrate and their design aspects etc. In this laboratory SAPS column study, four synthetic AMD solutions were treated for 1 day, 2 days, 4 days, 7 days and 10 days HRTs to determine the performances of SAPS using cow compost as organic substrate, saw dust and lime stone in parallel in identical conditions. In this research, studies were carried out to find the effect of hydraulic retention time on iron removal and alkalinity generation by laboratory SAPS. The current results reveal that 100% iron a removal has been found. Higher rate of alkalinity generation was observed in initial
reaction period; then it got slower down after passage of time. The encouraging results obtained on performance of laboratory scale set up of AMD is useful for large scale implementation in mines for treating AMD influent mine water and for design of various component of SAPS for its optimum performance.
Dragline is the most widely used machine in opencast mining. It is used for removal of overburden in coal mining. During the digging process machine experiences various loadings on its front end structure, which typically consist of boom, bucket and wire ropes. These loads tend to develop stresses in each cycle of the dragline and causing the structural damage.The bucket is connected to the boom by hoist ropes on the top of the boom using boom point sheaves. As bucket start to dig, the forces on the boom start to increase and reached their maximum value at the end of digging cycle. In the current work, only the dragline boom is considered for investigation of stresses. Due to the complexity of the structure, only overall structural behavior is predicted, and also a single joint is separately analysed for better understating of stresses acting near the joint. ANSYS 18.0 software is used for analysis purpose, and Solidworks software is used for three- dimensional model creation. Beam-to-solid sub-modelling is implemented inside the ANSYS software to minimize the computation time and requirements.Read more
Tailing-cement filling is used in Laixin iron mine for improved protection of the Earth’s surface, prevention of surface collapse, and sustainable development. The tailing is composed of over 40% particles with a diameter of –20 µm and is thus classified as extremely fine tailing. A proportioning test proves that the tailing is difficult to combine with cement. However, using cementation powder as the filling additive can significantly improve strength, and the rock stratum is steadily supported. The filling slurry is prepared as follows: tailing filter cakes are mixed with tailing slurry, and a slurry is produced from the mixture by using a compressor before placing sand in pipelines. The filling slurry exhibits stable properties and superior strength
and can be used in industrial applications. In this study, the tailings of fine particles are used as backfill materials to fill the goaf, and this usage effectively solves the problem of tailing disposal. The solution ensures safe and efficient mining of urban mines and helps protect the ecosystem and lithic drainage. Furthermore, it helps achieve friendly development among mines, cities, and the ecosystem.