نوع مقاله : مقاله پژوهشی
نویسندگان
1 عضو هیات علمی دانشگاه لرستان
2 مدیر کنترل کیفیت- شرکت آریاگچ پلدختر
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Development of Predictive Models for Specific Drilling Energy: Synergistic Analysis of Operational Parameters and Drill Bit Coating Hardness on Rock Drilling Efficiency
abstract:
Specific Drilling Energy (DSE) serves as a critical criteria for optimizing rock drilling efficiency across various industries, influenced by operational parameters and drill bit characteristics. This study aims to address existing research gaps by investigating the combined effects of operational parameters—penetration rate (PR), speed of rotation (SR), weight on bit (WOB), applied torque (Torque), and drill bit coating hardness (H)—on DSE. Laboratory-scale drilling tests were conducted on nine rock types (granite, travertine, marble) using three drill bit coatings (Tungsten Carbide (WC), diamond-like-carbon (DLC), and Titanium Silicium CarboNitride (TiSiCN)). Data were analyzed using linear and nonlinear regression models (M1 to M6). Results revealed that penetration rate (PR) and applied torque (Torque) exert the most significant influence on DSE; an increase in PR (from 12 to 36 mm/min) reduced DSE by up to 70%, whereas increased torque led to higher DSE. The TiSiCN-coated drill bit (with a hardness of 3860 Vickers) exhibited the highest efficiency, yielding the lowest DSE. The second-order polynomial regression model (M5) achieved the highest accuracy (R² = 0.945), though the simpler linear model (M3) with R² = 0.927 is recommended for practical applications. These findings provide actionable insights for optimizing drilling operations, emphasizing the importance of precise PR adjustments and the use of harder drill bit coatings to reduce costs and enhance drilling efficiency.
Keywords
Specific Drilling Energy; Drilling Operational Parameters; Drill Bit Coating Hardness; Predictive Models; Multivariate Regression
کلیدواژهها [English]
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