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Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys

Benjamin Pereira, C. A. Griffiths, Benjamin Birch, Andrew Rees

2021The International Journal of Advanced Manufacturing Technology27 citationsDOIOpen Access PDF

Abstract

Abstract This paper aims to identify the capability of a highly flexible industrial robot modified with a high-speed machine spindle for drilling of aluminum 6061-T6. With a focus on drilling feed rate, spindle speed, and pecking cycle, the hole surface roughness and exit burr heights were investigated using the Taguchi design methodology. A state of the art condition monitoring system was used to identify the vibrations experienced during drilling operation and to establish which robot pose had increased stiffness, and thus the optimum workspace for drilling. When benchmarked against a CNC machine the results show that the CNC was capable of producing the best surface finish and the lowest burr heights. However, the robot system matched and outperformed the CNC in several experiments and there is much scope for further optimization of the process. By identifying the optimum pose for drilling together with the idealized settings, the proposed drilling system is shown to be far more flexible than a CNC milling machine and when considering the optimized drilling of aerospace aluminum this robotic solution has the potential to drastically improve productivity.

Topics & Concepts

AerospaceDrillingMachiningEngineeringTaguchi methodsMechanical engineeringSurface roughnessKinematicsRobotComputer scienceArtificial intelligenceMaterials scienceAerospace engineeringComposite materialClassical mechanicsPhysicsAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesAdvanced Surface Polishing Techniques
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys | Litcius