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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2019
Title: | Prediction of Transient Temperature At Bit-Rock Interface Using Numerical Modelling Approach and Optimization |
Authors: | Shankar, Vijay Kumar Lakshmikanthan, Avinash Selvan, Chithirai Pon Girish, B M Kunar, Bijay Mihir Cuautle, Jose de Jesus Agustin Flores Ramakrishna, Varadaraj Kanchipura Malik, Vinayak |
Keywords: | Drilling Grounded thermocouple Bit-rock interface temperature Sandstone Statistical analysis |
Issue Date: | 12-Oct-2023 |
Publisher: | International Journal on Interactive Design and Manufacturing (IJIDeM) |
Abstract: | One of the major factors impacting on drill bit performance during rock drilling is interface temperature. The performance of the drill bit during drilling operations not only depends on operations parameters but also the properties of rock during drilling in laboratory and field investigations. Hence the present study focused on interface of bit-rock, the temperature had been determined by developing a specially grounded thermocouple. Over 500 different test conditions were performed in each rock sample's case during experimental drilling on a cylindrical block of UCS of 17.83 MPa (fine-grained sandstone grey-FG), 13.70 MPa (medium-grained sandstone-MG), and 51.67 MPa (fine-grained sandstone pink-FGP). The results revealed that the average increase in interface temperature for MG is about 53.74%, FG is about 93.26%, and FGP is about 165.22%. The significant parameters such as uniaxial compressive strength (26%), depth (33%), rate of penetration (15.2%), diameter of the bit (5.26%), and thrust (5.04%) are the most influenced parameters on temperature, followed by spindle speed (1.04%), and torque (0.23%) respectively. The proposed regression models successfully predict the temperature with an R2 value of 91.74%, 90.30%, and 90.95% for MG, FG, and FGP, respectively. Finally overall regression model is developed by considered operational parameters with rock properties to predict temperature and R2 value of 80.8% for all three types of rock samples considered. |
URI: | https://doi.org/10.1007/s12008-023-01543-x http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2019 |
ISSN: | 1955-2505 1955-2513 |
Appears in Collections: | Journal Articles |
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