DocumentCode
3438227
Title
The strength experimental design and data analysis of the nose landing gear
Author
Hongjuan Li ; Weimin Cui ; Fengzhu Zheng ; Junhao Guo
Author_Institution
Sch. of Aeronaut., Northwestern Polytech. Univ., Xi´an, China
fYear
2013
fDate
15-18 July 2013
Firstpage
832
Lastpage
835
Abstract
As the nose landing gear of the aircraft has a complex structure which needs to be tough enough to withstand heavy loads during the aircraft landing. Special attention should be paid to its strength issue. This paper designs experiments to test its strength reliability. First, select the most convenient and feasible experimental device. Then, demonstrate a strength analysis of the experimental device to ensure that it meets the requirements of the experiment. In the condition that experiments are feasible, a series of experiments are carried out, including the static experiments of one-way force and fatigue experiments of triaxial forces. Use the neural network toolbox in MATLAB to analyze the mapping relationship between the load and the strain based on the experimental data. The calculated values are in good agreement with the experimental data.
Keywords
aerospace components; aerospace computing; aircraft; data analysis; design of experiments; fatigue; gears; mathematics computing; mechanical strength; neural nets; MATLAB; aircraft landing; data analysis; fatigue experiment; mapping relationship analysis; neural network toolbox; nose landing gear; one-way force experiment; static experiments; strength experimental design; strength reliability testing; triaxial forces; Aircraft; Fatigue; Finite element analysis; Gears; Neural networks; Nose; Strain; fatigue experiment; neural network; nose landing gear; strength requirement;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-1014-4
Type
conf
DOI
10.1109/QR2MSE.2013.6625699
Filename
6625699
Link To Document