Optimization Design of Straw-Crushing Residual Film Recycling Machine Frame Based on Sensitivity and Grey Correlation Degree

Pengda Zhao, Hailiang Lyu, Lei Wang (), Hongwen Zhang, Zhantao Li, Kunyu Li, Chao Xing and Bocheng Guoyao
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Pengda Zhao: Xinjiang Swan Modern Agricultural Machinery Equipment Co., Ltd., Wujiaqu 831300, China
Hailiang Lyu: College of Mechanical Electrical Engineering, Shihezi University, Shihezi 832000, China
Lei Wang: College of Mechanical Electrical Engineering, Shihezi University, Shihezi 832000, China
Hongwen Zhang: College of Mechanical Electrical Engineering, Shihezi University, Shihezi 832000, China
Zhantao Li: Xinjiang Swan Modern Agricultural Machinery Equipment Co., Ltd., Wujiaqu 831300, China
Kunyu Li: College of Mechanical Electrical Engineering, Shihezi University, Shihezi 832000, China
Chao Xing: Xinjiang Swan Modern Agricultural Machinery Equipment Co., Ltd., Wujiaqu 831300, China
Bocheng Guoyao: College of Mechanical Electrical Engineering, Shihezi University, Shihezi 832000, China

Agriculture, 2024, vol. 14, issue 5, 1-23

Abstract: This paper takes the frame as the research object and explores the vibration characteristics of the frame to address the vibration problem of a 1-MSD straw-crushing and residual film recycling machine in the field operation process, and an accurate identification of the modal parameters of the frame is carried out to solve the resonance problem of the machine, which can achieve cost reduction and increase income to a certain extent. The first six natural frequencies of the frame are extracted by finite element modal identification and modal tests, respectively. The rationality of the modal test results is verified using the comprehensive modal and frequency response confidences. The maximum frequency error of modal frequency results of the two methods is only 6.61%, which provides a theoretical basis for the optimal design of the frame. In order to further analyze the resonance problem of the machine, the external excitation frequency of the machine during normal operation in the field is solved and compared with the first six natural frequencies of the frame. The results show that the first natural frequency of the frame (18.89 Hz) is close to the external excitation generated by the stripping roller (16.67 Hz). The first natural frequency and the volume of the frame are set as the optimization objectives, and the optimal optimization scheme is obtained by using the Optistruct solver, sensitivity method, and grey correlation method. The results indicate the first-order natural frequency of the optimized frame is 21.89 Hz, an increase of 15.882%, which is much higher than the excitation frequency of 16.67 Hz, and resonance can be avoided. The corresponding frame volume is 9.975 × 10 7 mm 3 , and the volume reduction is 3.46%; the optimized frame has good dynamic performance, which avoids the resonance of the machine and conforms to the lightweight design criteria of agricultural machinery structures. The research results can provide some theoretical reference for this kind of machine in solving the resonance problem and carrying out related vibration characteristics research.

Keywords: frame; sensitivity; grey correlation degree; mode; optimized design (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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