کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4921853 1429521 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of a drill energy utilization index for aiding selection of drill machines in surface mines
ترجمه فارسی عنوان
توسعه یک شاخص استفاده از انرژی مته برای کمک به انتخاب ماشین آلات مته در معادن سطحی
کلمات کلیدی
پارامتر برش مته، شاخص بارز اندازه متوسط ​​تراشه، سطح خاص، منحنی توزیع اندازه ذرات، شاخص بهره برداری انرژی مته،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
چکیده انگلیسی

Drill machines used in surface mines, particularly in coal, is characterized by a very poor utilization (around 40%) and low availability (around 60%). The main purpose of this study is to develop a drill selection methodology and simultaneously a performance evaluation technique based on drill cuttings produced and drilling rate achieved. In all 28 blast drilled through were investigated. The drilling was accomplished by 5 different drill machines of Ingersoll-Rand and Revathi working in coal mines of Sonepur Bazari (SECL) and Block-II (BCCL). The drills are Rotary and Rotary Percussive type using tri-cone rock roller bits. Drill cuttings were collected and sieve analysis was done in the laboratory. Using Rosin Ramler Diagram, coarseness index (CI), mean chip size (d), specific-surface area (SSA) and characteristic particle size distribution curves for all the holes drilled were plotted. The predictor equation for drill penetration rate established through multiple regressions was found to have a very good correlation with an index of determination of 0.85. A comparative analysis of particle size distribution curves was used to evaluate the drill efficiency. The suggested approach utilises the area under the curve, after the point of trend reversal and brittleness ratio of the respective bench to arrive at drill energy utilization index (DEUI), for mapping of drill machine to bench. The developed DEUI can aid in selecting or mapping a right machine to right bench for achieving higher penetration rate and utilizations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Mining Science and Technology - Volume 27, Issue 3, May 2017, Pages 393-399
نویسندگان
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