Optimization Design of Corrugated Roller Convex Curve Based on Finite Element Analysis

WU Shui-ping, YUAN Bo, YUAN Yu-jin, WANG Tian-bao

Packaging Engineering ›› 2014 ›› Issue (17) : 48-52.

Packaging Engineering ›› 2014 ›› Issue (17) : 48-52.

Optimization Design of Corrugated Roller Convex Curve Based on Finite Element Analysis

  • WU Shui-ping1, YUAN Bo1, YUAN Yu-jin2, WANG Tian-bao3
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Abstract

Objective To study high speed corrugated roller work in complex stress conditions in the dynamic behavior degree of camber. Methods By methods of theoretical mechanics, the mathematical model of the corresponding upper and lower corrugator roll was established, and the corresponding convex curve equation was introduced. Ansys was used to simulate the working state of the corrugated roller and establish finite element model to analyze force on the corrugated roller load and geometric constraints. The convex values and 6 groups of corrugated roller gap values were compared before and after optimization. Results The results showed that the convex value of the upper corrugated roller was maximally reduced by 31.1% after optimization, and the convex value of the lower corrugated roller was maximally reduced by 43.7% after optimization. For all 6 groups of mesh corrugated roller, the convex clearance was decreased after optimization, indicating that the force on the corrugated roller itself was more even after optimization, the corrugated board produced was of higher quality, and the resistance between the corrugated rollers was decreased, the service life of the corrugated roller was prolonged as well. Conclusion Optimization design of the convex curve of corrugated roller led to the concave shape of the upper corrugated roller and the convex shape of the lower corrugated roller. Data comparison based on the finite element simulation showed that the research method was reasonable and reliable.

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WU Shui-ping, YUAN Bo, YUAN Yu-jin, WANG Tian-bao. Optimization Design of Corrugated Roller Convex Curve Based on Finite Element Analysis[J]. Packaging Engineering. 2014(17): 48-52

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