Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2019
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dc.contributor.authorShankar, Vijay Kumar-
dc.contributor.authorLakshmikanthan, Avinash-
dc.contributor.authorSelvan, Chithirai Pon-
dc.contributor.authorGirish, B M-
dc.contributor.authorKunar, Bijay Mihir-
dc.contributor.authorCuautle, Jose de Jesus Agustin Flores-
dc.contributor.authorRamakrishna, Varadaraj Kanchipura-
dc.contributor.authorMalik, Vinayak-
dc.date.accessioned2023-11-09T09:09:14Z-
dc.date.available2023-11-09T09:09:14Z-
dc.date.issued2023-10-12-
dc.identifier.issn1955-2505-
dc.identifier.issn1955-2513-
dc.identifier.urihttps://doi.org/10.1007/s12008-023-01543-x-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2019-
dc.description.abstractOne 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.en_US
dc.language.isoenen_US
dc.publisherInternational Journal on Interactive Design and Manufacturing (IJIDeM)en_US
dc.subjectDrillingen_US
dc.subjectGrounded thermocoupleen_US
dc.subjectBit-rock interface temperatureen_US
dc.subjectSandstoneen_US
dc.subjectStatistical analysisen_US
dc.titlePrediction of Transient Temperature At Bit-Rock Interface Using Numerical Modelling Approach and Optimizationen_US
dc.typeArticleen_US
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