Information mining and mechanical analysis of new-generation aero-engine turbine discs with industrial computed laminography reverse engineering

Aero engines are key power components that provide thrust for the aircraft. The cermet turbine disc allows the new-generation domestic fighter aircraft to increase the overall thrust of the aero engine. Quantifying coatings and analyzing the stress on the teeth play critical roles in improving the turbine disc’s performance, which are two issues must be solved urgently. First, this work proposes a quantitative analysis algorithm to conduct the Three-Dimensional (3D) distribution information mining of the extracted coatings. Then, it proposes an Industrial Computed Laminography (ICL) reconstruction algorithm for non-destructively reconstructing the turbine disc’s high-quality 3D morphological actual feature. Finally, a Finite Element Analysis (FEA) under the ultimate thrust is conducted on ICL reconstruction to verify the working status of the new-generation aero-engine turbine disc. The results show that the proposed quantitative analysis algorithm digitizes the aggregated conditions of the coating with a statistically normalized Z 1 value of –2.15 and a confidence level higher than 95%. Three image-quality quantitative indicators: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Normalized Mean Square Distance (NMSD) of the proposed ICL reconstruction algorithm on turbine disc laminographic image are 26.45, 0.88, and 0.73 respectively, which are better than other algorithms. The mechanical analysis of ICL more realistically reflects the stress and deformation than that of 3D modeling. This work provides new ideas for the iterative research of new-generation aero-engine turbine discs.