Modular design method of sorting system of automatic cigarette selling machine
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Beijing Information Science & Technology University Beijing 100192

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TP391.9

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    Abstract:

    In order to solve the problem that the partition results obtained by using fuzzy clustering algorithm cannot be verified effectively in the modular design of the mechanical structure of cigarette vending machine, this paper proposes a method to verify the rationality of fuzzy clustering results based on kinematics and dynamics simulation data. Firstly, the original fuzzy clustering matrix is established according to the function, geometry and physical correlation of each part, and the original matrix is transformed into the fuzzy similarity matrix by the included Angle cosine formula. Then, the fuzzy equal-order matrices is obtained by using the transitive closure algorithm, and the dynamic clustering tree is formed by taking different thresholds from the fuzzy equal-order matrices. Finally, Adams software is used to simulate the kinematics and dynamics of the core module after fuzzy clustering, and the simulation results are used to judge whether the fuzzy clustering results are reasonable or not. The experiment shows that the fuzzy clustering results can be judged effectively by using the method presented in this paper.

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  • Online: October 15,2024
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