Adaptive Five-Axis Scanning of Deformed Surfaces Based on Real-Time Path Planning

Five-axis sweep scanning is an emerging surface inspection technology that has shown great potential to boost inspection efficiency for complex surfaces. The existing five-axis inspection methods rely on computer aided design (CAD) models to plan the entire sweep scanning path prior to measurement. Thus, they cannot be applied to measure deformed surfaces for repair or remanufacturing, since deformed surfaces lack valid CAD models. To solve this problem, an adaptive five-axis inspection approach is proposed for inspecting deformed surfaces based on real-time path planning, with no use of any CAD model. The proposed approach uses an iterative strategy that implements through three steps: surface prediction, sweep scanning path planning on the predicted surface, and conducting the inspection. The surface prediction method is accurate enough and computationally fast, so it is suitable for online applications. The path planning algorithm can improve inspection efficiency by avoiding empty strokes of measurement. Experiments conducted on three complex free-form surfaces verify the feasibility, accuracy, and efficiency of the proposed approach.

Automated summary

Five-axis sweep scanning is an emerging surface inspection technology that efficiently detects complex surfaces. Existing methods rely on CAD models, making them unsuitable for measuring deformed surfaces. To address this, an adaptive approach with real-time path planning is proposed, eliminating the need for CAD models. The approach utilizes accurate surface prediction and efficient path planning, confirmed through experiments on complex free-form surfaces.