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Laser micro‐hole processing has been widely used in industry. Many laser processing parameters can affect the processing results. The relationship between the geometrical shapes of micro‐holes and the laser processing pa‐ rameters has not been determined accurately. In this paper, experiments on the femtosecond laser drilling of the nickel‐base single‐crystal super‐alloy (DD6) materials were conducted to determine the relationship between the parameters, such as the laser single‐pulse energy, rotation rate, and down‐ ward focus rate, and the geometrical characteristics of the micro‐holes, such as the diameter, and roundness. A group of orthogonal experiments were conducted to determine the effects of the comprehensive influencing factors on the geometrical characteristics of the micro‐holes. After the experiments were conducted and analysed, the experimental results were modelled by a backpropagation neural network, and the mapping relationship between the laser parameters and the geometrical morphologies of the micro‐holes was constructed. The model established by the backpropagation neural network could obtain accurate prediction results, and the predictions of the diameters of the micro‐holes were better than those of the roundness. © 2019 CPE, University of Maribor. All rights reserved.

advances in production engineering and management

Femtosecond laser helical drilling of nickel-base single-crystal super-alloy: Effect of machining parameters on geometrical characteristics of micro-holes