{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T14:37:53Z","timestamp":1762353473934,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["51975026","2020Z074","U1932111"],"award-info":[{"award-number":["51975026","2020Z074","U1932111"]}]},{"name":"Ningbo major projects of science and technology innovation 2025","award":["51975026","2020Z074","U1932111"],"award-info":[{"award-number":["51975026","2020Z074","U1932111"]}]},{"name":"Joint Fund of Research Utilizing Large-scale Scientific Facilities by the National Natural Science Foundation of China and Chinese Academy of Science","award":["51975026","2020Z074","U1932111"],"award-info":[{"award-number":["51975026","2020Z074","U1932111"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Aero engines are the key power source for aerospace vehicles. Cermet turbine blades are the guarantee for the new-generation fighters to improve aero-engine overall performance. X-ray non-destructive reconstruction can obtain the internal structure and morphology of cermet turbine blades. However, the beam hardening effect causes artifacts in objects and affects the reconstruction quality, which is an issue that needs to be solved urgently. This study proposes a hardening-correction framework for industrial computed tomography (ICT) images based on iterative linear fitting. First, an iterative binarization was performed to improve the penetration length accuracy of the forward projection. Then, the proposed linear fitting technology combined with the Hermite function model is derived and analyzed to obtain suitable parameters of blade data. Finally, the fitting curves of the blade data, using the proposed method and the traditional polynomial fitting method, were analyzed and compared and were used to correct the engine turbine blade projection data to reconstruct different groups of tomographic images. Different groups of tomographic images were analyzed using three quantitative image quality evaluation indicators. The results show that the root-mean-square error (RMSE) of the tomographic image obtained by the proposed framework is 0.0133, which is lower than that of the compared method. The peak signal-to-noise ratio (PSNR) is 37.7050 dB and the feature structural similarity (FSIM) is 0.9881, which are both higher than that of the compared method. The proposed method improves the hardening-artifact-correction capability and can obtain higher-quality images, which provides new ideas for the development of imaging and detection of new-generation aero-engine turbine blades.<\/jats:p>","DOI":"10.3390\/s24062001","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T06:35:30Z","timestamp":1711002930000},"page":"2001","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Correcting Hardening Artifacts of Aero-Engine Blades with an Iterative Linear Fitting Technique Framework"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1331-0166","authenticated-orcid":false,"given":"Yenan","family":"Gao","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2680-0394","authenticated-orcid":false,"given":"Jian","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China"},{"name":"Jiangxi Research Institute, Beihang University, Nanchang 330000, China"},{"name":"Ningbo Institute of Technology, Beihang University, Ningbo 315800, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2120-1245","authenticated-orcid":false,"given":"Xiaolong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/TTE.2018.2834142","article-title":"Electrical power generation in aircraft: Review, challenges, and opportunities","volume":"4","author":"Madonna","year":"2018","journal-title":"IEEE Trans. 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