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Analyzes structural parameters to optimize air-jet loom frame's strength, indicating improved performance.
Air-jet looms are widely used for weaving lightweight fabrics due to their outstanding high performance. To enhance the overall structural strength of air-jet looms and reduce operational vibration, dynamic analysis and structural parameter optimization of the loom frame system were carried in this study. First, after the structural designing and finite element modeling, the modal tests of the loom frame system were conducted. The modal results showed the high consistency between the simulation and experiment, confirming the accuracy of the dynamic model. Then, the dynamic characteristics and maximum stress data of the frame were obtained and analyzed through vibration tests and simulation calculations. The results indicated that the maximum deformation occurred at the middle of the beam while the maximum stress occurred at the connection between the lower beam and the wall panel. Moreover, the loom frame parameter optimization model was constructed based on the BA-HHO-SVR(Balanced Adaptive—Harris Hawks Optimization—Support Vector Regression) algorithm, demonstrating excellent learning and predictive capabilities. Eventually, the optimal combination of the frame structural parameters was obtained through above optimization algorithm. Furthermore, the effectiveness and reliability of the optimal combination were verified by finite element calculations. The vibration analysis method and optimization strategy proposed in this study provide valuable guidance for subsequent structural design and optimization of the high-end textile equipment.
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Zhou et al. (2026) studied this question.
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