Automatic Compilation Method of Aeronautical Typical Parts Inspection Plan Based on MBD

Chao-yang GUO , Ying-ji JIANG , Hua-long CHENG , Zhi-bin YU , Fa-lin WANG

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (15) : 6538 -6547.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (15) : 6538-6547 DOI: 10.12404/j.issn.1671-1815.2404142
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Automatic Compilation Method of Aeronautical Typical Parts Inspection Plan Based on MBD
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Abstract

Aiming at the current aviation typical parts with complex structure and high precision requirements, increased difficulty in quality inspection but backward inspection methods, an inspection plan automatic preparation method was proposed. Firstly, from the information reuse and information integration, the inspection number model was constructed on the basis of the design model, which layed a foundation of data source for the generation of the inspection plan. Secondly, the production method of the inspection plan was formulated, and the rules of the inspection sequence generation were designed, to achieve the automatic generation of inspection sequence number by using the improved Dynamic planning algorithm. Finally, combined with the CAA(component application architecture) secondary development interface and Excel component development, the corresponding function module was developed under the CATIA environment, to achieve the output of the inspection element information and process view, to complete the automatic preparation and export of the inspection plan. Through examples, it is proved that the method can reduce the labour intensity of inspectors and improve the efficiency of the preparation of inspection plans.

Keywords

inspection modelling / improved dynamic planning algorithms / inspection sequence generation / CAA secondary development / automatic preparation of inspection plans

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Chao-yang GUO, Ying-ji JIANG, Hua-long CHENG, Zhi-bin YU, Fa-lin WANG. Automatic Compilation Method of Aeronautical Typical Parts Inspection Plan Based on MBD. Science Technology and Engineering, 2025, 25(15): 6538-6547 DOI:10.12404/j.issn.1671-1815.2404142

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