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针对圆锯片的减振降噪拓扑优化设计,基于混合元胞自动机算法建立了以结构振动衰减、噪声降低为设计目标,以指定位置载荷力响应、位移响应为多约束条件的动力学拓扑优化模型,得到了满足刚度条件下锯片的最优开槽形式。将该优化锯片与普通锯片进行噪声分析比较,结果表明:优化结构在时域上降低了噪声声压级5~6 d B,在频域上明显降低了声压响应幅度、分散了声压能量,混合元胞自动机算法可为低噪声锯片的动力学拓扑设计提供新思路和理论支持。
Aimed at the topological optimization design of vibration and noise reduction for circular saw blades, a dynamic topological design based on hybrid cellular automata was established with structural vibration attenuation and noise reduction as the design goals, with specified position load response and displacement response as multiple constraints Optimize the model, get the optimum slotted form of the saw blade under the condition of satisfying the rigidity. The results show that the optimized structure reduces the noise sound pressure level 5 ~ 6 d B in the time domain, obviously reduces the amplitude of the sound pressure response in the frequency domain, disperses the sound The pressure energy and hybrid cellular automata algorithm can provide new ideas and theoretical support for the dynamic topological design of low noise saw blades.