A soft computing system used to optimize deep drilling operations under high-speed conditions in the manufacture of steel components is presented. The input data includes cutting parameters and axial cutting force obtained from the power consumption of the feed motor of the milling centres. Two different coolant strategies are tested: traditional working fluid and Minimum Quantity Lubrication (...

The handling of complex machines such as redundant manipulators requires appropriate control systems in order to make the operating of the system easier and to reduce processing time. This paper presents an advanced control system for a drilling rig used in tunnel construction which is currently under development in cooperation with an industrial partner. The drill rig is equipped with two redu...

This study used six fields data alongside correlation heat map to evaluate the field parameters that affect accuracy of bottom hole pressure (BHP) estimation. The oil were acquired using measurement while drilling device collect surface measurements downhole drilling. For two case studies, measured wellbore filled with gasified mud system was utilized, and wellbores drilled rotary jointed drill...

Advances in drilling technologies and production strategies such as horizontal drilling and hydraulic fracturing have significantly improved the production of natural gas by stimulating fluid flow from wells. Since 2008, these technological developments have spurred exponential growth of gas well drilling across the U.S. While the new drilling for shale gas and hydraulic fracturing technologies...

Ultrasonic assisted drilling (UAD) has been reported effective for thrust force reduction during drilling of CFRP resulting in lower exit delamination. However, this process is not fully understood in relation to machining theory. This work focused on understanding the separate effects of chisel and cutting edges during UAD in comparison with conventional drilling (CD). Experiments were perform...

In this paper we present an algorithm suitable for the condition monitoring of a manufacturing drilling process that will be able to detect tool wear and impending failure. The algorithm is based around a Hidden Markov Model (HMM) [5] which is trained on “normal” data obtained from the early stages of the lifetime of a drill operating under a particular drilling condition (defined by rotation s...