A sampling method based on improved firefly algorithm for profile measurement of aviation engine blade

• Autorzy: Huang Zhi , Zhao Liao , Li Kai , Wang Hongyan , Zhou Tao

Identyfikatory

DOI

10.24425/mms.2019.130565

• Języki publikacji: EN

Abstrakty

EN

Coordinate Measurement Machines (CMMs) have been extensively used in inspecting mechanical parts with higher accuracy. In order to enhance the efficiency and precision of the measurement of aviation engine blades, a sampling method of profile measurement of aviation engine blade based on the firefly algorithm is researched. Then, by comparing with the equal arc-length sampling algorithm (EAS) and the equi-parametric sampling algorithm (EPS) in one simulation, the proposed sampling algorithm shows its better sampling quality than the other two algorithms. Finally, the effectiveness of the algorithm is verified by an experimental example of blade profile. Both simulated and experimental results show that the method proposed in this paper can ensure the measurement accuracy by measuring a smaller number of points.

Słowa kluczowe

EN

aviation engine blade; coordinate measurement machine; profile measurement; improved firefly algorithm

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2019
• Tom: Vol. 26, nr 4
• Strony: 757--771
• Opis fizyczny: Bibliogr. 18 poz., fot., rys., tab., wzory

Twórcy

autor

Huang Zhi

• University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, 611731 Chengdu, China

autor

Zhao Liao

• University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, 611731 Chengdu, China

autor

Li Kai

• University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, 611731 Chengdu, China

autor

Wang Hongyan

• University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, 611731 Chengdu, China

autor

Zhou Tao

• University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, 611731 Chengdu, China

Bibliografia

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Uwagi

EN

The authors gratefully acknowledge the support of the National Natural Science Foundation of China (Nos. 51275078).