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首页> 外文期刊>Journal of micro and nano manufacturing >Cutting Force Prediction on Micromilling Magnesium Metal Matrix Composites With Nanoreinforcements
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Cutting Force Prediction on Micromilling Magnesium Metal Matrix Composites With Nanoreinforcements

机译:纳米增强微研磨镁金属基复合材料的切削力预测

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摘要

Due to its light weight, high creep, and wear resistance, magnesium metal matrix composites (Mg-MMCs) with nanosized reinforcements are promising for various industrial applications, especially those with high volume fractions of reinforcements. The machinability of Mg-MMCs and related cutting process modeling are important to study. In this paper, an analytical cutting force model is developed to predict cutting forces of Mg-MMC reinforced with SiC nanoparticles in micromilling process. This model is different from previous ones by encompassing the behaviors of nanoparticle reinforcements in three cutting scenarios, i.e., shearing, ploughing, and elastic recovery. By using the enhanced yield strength in the cutting force model, three major strengthening factors are incorporated, including load-bearing effect, enhanced dislocation density strengthening effect, and Orowan strengthening effect. In this way, material properties, such as the particle size and volume fraction as significant factors affecting the cutting forces, are explicitly considered. To validate the model, experiments based on various cutting conditions using two types of end mills (diameters as 100μm and 1 mm) were conducted on pure Mg, Mg-MMCs with volume fractions of 5 vol. %, 10 vol. %, and 15 vol. %. The experimental results show a good agreement with the predicted cutting force value.
机译:由于其重量轻,高蠕变和耐磨性,具有纳米级增强材料的镁金属基复合材料(Mg-MMCs)有望用于各种工业应用,尤其是具有高体积分数的增强材料。 Mg-MMCs的可加工性和相关的切削过程建模对于研究至关重要。本文建立了一个解析切削力模型来预测微球磨过程中SiC纳米颗粒增强的Mg-MMC的切削力。该模型与以前的模型不同,它包含了三种剪切情况下的纳米颗粒增强物的行为,即剪切,耕作和弹性回复。通过在切削力模型中使用增强的屈服强度,纳入了三个主要的增强因素,包括承载效果,增强的位错密度增强效果和Orowan增强效果。以这种方式,明确考虑了材料特性,例如粒度和体积分数,这些因素是影响切削力的重要因素。为了验证模型,在两种不同的端铣刀(直径分别为100μm和1mm)上对纯Mg,Mg-MMC(体积分数为5 vol)进行了实验。 %,10体积%,和15卷%。实验结果表明与预测的切削力值有很好的一致性。

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