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基于Taguchi-GA协同的磁性磨料抛光性能预测及制备工艺参数寻优
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Predicting Polishing Performance of Magnetic Abrasive and Optimizing Its Preparation Process Parameters Based on Taguchi-GA Synergy
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    通过改变黏结法磁性磨料的制备工艺参数来设计正交试验,制备不同系列规格的磁性磨料,并对其进行形貌和成分检测.以3D打印AlSi10Mg板为加工对象,通过平面磁力研磨试验,揭示磁性磨料制备工艺参数对磁力研磨质量的影响规律.基于回归分析,建立参数与响应之间的回归模型,通过遗传算法实现参数优化. 结果表明,在SiC粒径为18~25 μm,Fe与SiC的质量比为4.7,环氧树脂与聚酰胺的质量比为2,固化温度为100 ℃的条件下,材料去除率为1.7 mg/min,表面粗糙度由原始的3.90 μm降低至0.27 μm,降低率为93.1%.

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    In this study, an orthogonal experiment was designed by changing the preparation process parameters of bonded magnetic abrasives. Then, a series of magnetic abrasives with different specifications were prepared, and their morphology and composition were detected. Taking the 3D-printed AlSi10Mg plate as the processing object, the influence of the magnetic abrasive preparation process parameters on the polishing quality was revealed through the planar magnetic abrasive finishing experiment. A regression model between parameters and responses was established based on regression analysis, and the genetic algorithm optimized parameters. The results show that under the condition that SiC is 18~25 μm, the mass ratio of Fe to SiC is 4.7, the mass ratio of resin to curing agent is 2, the curing temperature is 100 °C, the material removal rate is 1.7 mg/min, and the surface roughness is reduced from the original 3.90 μm to 0.27 μm with a reduction of 93.1%.

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王燎原 ,孙玉利 ?,张桂冠 ,吴鹏飞 ,易思广 ,孙业斌 ,左敦稳 .基于Taguchi-GA协同的磁性磨料抛光性能预测及制备工艺参数寻优[J].湖南大学学报:自然科学版,2024,(4):43~53

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  • 在线发布日期: 2024-04-22
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