Embedded sensors, connected to the industrial internet of things (IIoT), have increased the granularity and frequency of data collected during the drilling process – but the data is often siloed and underutilized. This lack of integration can lead to expensive, time-consuming problems during the drilling process. Inefficient drilling programs can have an even greater aggregate financial impact,...

This article presents a novel virtual teeth drilling system designed to aid dentists, dental students, and researchers in getting acquainted with teeth anatomy, the handling of drilling instruments, and the challenges associated with drilling procedures during endodontic therapy. The system is designed to be used for educational and research purposes in dental schools. The application features ...

The purpose of this research is to use the visual inspection technique for the automatic tool wear measurement of different coated drills. The tool wear images with the different coated drilling are captured using a machine vision system incorporating with an effective vertex detection algorithm based on subpixel edge detector and Gaussian filter is presented. The results show that the proposed...

The automation of machining processes requires highly accurate process monitoring. However, the use of additional sensors leads to a significant increase in the cost and reduces the stiffness and reliability of mechanical systems. Hence, we propose a system called the cutting force and torque observer, which uses a sensor-less and real-time cutting force estimation methodology based on the dist...

designing drilling fluids for drilling in deep gas reservoirs and geothermal wells is a majorchallenge. cooling drilling fluids and preparing stable mud with high thermal conductivity are ofgreat concern. drilling nanofluids, i.e. a low fraction of carbon nanotube (cnt) well dispersed inmud, may enhance the mixture thermal conductivity compared to the base fluids. thus, they arepotentially usef...