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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
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310009
E-mail:
meem_contribute@163.com
Abstract: During the transportation of the tubular belt conveyor, the roller generates vibration noise under the excitation of the contact load of the round pipe belt, which is the main noise source during the transportation of the tubular belt conveyor.The optimal design of roller parameters is of great significance to the overall vibration reduction and noise reduction of the tubular belt conveyor.Therefore, taking the roller as the optimization object, the vibration characteristics and noise law of the roller under different structural parameters were studied, a random forest regression (RFR) based method was proposed to optimize the design of roller parameters for tubular belt conveyor. Firstly, the modal analysis was carried out to obtain the vibration characteristics of the roller, and the optimization direction was determined. Based on the finite-element-boundary-element (FEM-BEM) hybrid acoustic field simulation method, with the force spectrum of the roller collected in the field as the excitation, the vibration noise and the law of the roller under the influence of different structural parameters were explored. Then, a machine learning model based on RFR algorithm was developed, a design database between the structural parameters of the roller and the noise value was established, and the optimal solution of the roller parameters was obtained by combining the constraints. Finally, the optimized roller structure was simulated and analyzed. The result shows that the optimal solution is obtained when the diameter of the roller is 152mm, the thickness is 6mm, the material is steel and the shaft diameter is 30mm, and the vibration noise generated by the optimized roller is reduced by about 13.4dB compared with the original roller. The optimized design of the roller provides a reference for the overall vibration and noise reduction of the tubular belt conveyor.
Key words: transport machinery; contact load; random forest regression(RFR); finite-element-boundary-element(FEMBEM); modal analysis; vibration and noise reduction; optimal solution of roller parameters
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