| Citation: | YU Y Y，YANG Y G. Bi-modal imaging method for detection of residual core in hollow turbine blades[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（10）：3443-3450 （in Chinese） doi: 10.13700/j.bh.1001-5965.2023.0526
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Residual core inspection is crucial in the production of hollow turbine blades. The e-LINAC-based bi-modal imaging method combines neutron and X-ray imaging along the same optical path, enabling fusion analysis to differentiate between base and core materials based on their properties. This study addresses the beam hardening issue in bi-modal imaging by developing an automatic segmental threshold setting method, which enables a novel automated non-destructive testing approach that does not require prior knowledge of blade geometry or manual intervention, and directly identifies the residual core regions within the blade. When the neutron count per pixel is no less than 104, the error in residual core identification using the bi-modal imaging method does not exceed 1%.
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