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Experimental optimization of dry sliding wear behavior of in situ AlB_2/Al composite based on Taguchi's method

机译:基于Taguchi方法的原位AlB_2 / Al复合材料干滑动磨损性能的实验优化

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摘要

A wear rate prediction model for aluminum based composites reinforced with 10 and 30 wt.% in situ alu minum diboride (A1B2) flakes was developed using Taguchi's method by considering the parameters of sliding velocity, normal load, sliding distance and reinforcement ratio. Having produced the in situ rein forced bulk of composite, the final shape of the test samples was given through squeeze casting method. The wear behavior of the specimen was investigated using pin-on-disk rig where the samples sliding against a steel disk under different conditions. The orthogonal array, signal-to-noise ratio (S/N) and anal ysis of variance (ANOVA) were employed to study the optimal testing parameters on composite samples. The experimental results demonstrate that the normal load and reinforcement ratio were the major parameters influencing the specific wear rate for all samples, followed by sliding velocity. The sliding dis tance, however, was found to have a negligible effect on the specific wear rate. Moreover, the optimal combination of the testing parameters has been predicted. The predicted specific wear rates for all the test samples were found to lie close to that of the experimentally observed ones.
机译:考虑到滑动速度,法向载荷,滑动距离和增强比等参数,使用Taguchi方法建立了用10和30 wt。%原位二硼化铝薄片(A1B2)增强的铝基复合材料的磨损率预测模型。制备了复合材料的原位受压本体后,通过挤压浇铸法给出了测试样品的最终形状。使用销盘式钻机研究了样品的磨损行为,其中样品在不同条件下在钢盘上滑动。利用正交阵列,信噪比(S / N)和方差分析(ANOVA)研究复合样品的最佳测试参数。实验结果表明,正常载荷和配筋率是影响所有样品比磨损率的主要参数,其次是滑动速度。然而,发现滑动距离对比磨损率的影响可忽略不计。而且,已经预测了测试参数的最佳组合。发现所有测试样品的预测比磨损率与实验观察到的接近。

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  • 来源
    《Materials & design 》 |2012年第12期| p.124-130| 共7页
  • 作者单位

    Sakarya University, Faculty of Technology, 54187 Sakarya, Turkey;

    Sakarya University, Faculty of Technical Education, 54187 Sakarya, Turkey;

    Sakarya University, Faculty of Technology, 54187 Sakarya, Turkey;

    Duzce University, Cumusova High Vocational School, 81850 Duzce, Turkey;

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