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首页> 外文期刊>International Journal of Precision Engineering and Manufacturing >Design and Optimization of Microstructure for Improved Corrosion Resistance in Laser Surface Alloyed Aluminum with Molybdenum
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Design and Optimization of Microstructure for Improved Corrosion Resistance in Laser Surface Alloyed Aluminum with Molybdenum

机译:提高钼对激光表面合金化铝的耐蚀性的组织设计与优化

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摘要

The in-situ measurement of dilution during the laser surface alloying process is an enormously difficult task, due to the localized nature of laser energy and very short laser-material interaction time. Therefore, a computational approach (finite-element method and analysis of variance) was effectively employed to evaluate the dilution during the laser surface alloying process. Firstly, a finite-element model based on COMSOL multiphysics was developed to predict the dilution of Mo with Al during non-equilibrium laser surface alloying process. Secondly, the optimization model based on Design-Expert was developed to find the optimal laser surface alloying parameters (laser power, scanning speed, and fill spacing) to obtain a microstructure suitable for improved corrosion resistance that is primarily attributed to the formation of Al_5Mo intermetallic phase (16.7 at% Mo). The present optimization model utilized the prior experimental and computational (finite-element) modeling data for the concentration of Mo (at%). The optimization analyses were carried out for the all the current datasets and the analysis revealed 44 optimal solutions that indicate the highest desirability. The confirmation runs were carried out to validate the optimization model. The experimental observation showed that the sample processed with optimal processing conditions demonstrates good corrosion resistance.
机译:由于激光能量的局限性和非常短的激光材料相互作用时间,在激光表面合金化过程中对稀释液进行原位测量是一项极为困难的任务。因此,有效地采用了一种计算方法(有限元方法和方差分析)来评估激光表面合金化过程中的稀释度。首先,建立了基于COMSOL多物理场的有限元模型,以预测在非平衡激光表面合金化过程中Mo对Al的稀释。其次,基于Design-Expert的优化模型被开发出来,以找到最佳的激光表面合金化参数(激光功率,扫描速度和填充间距),从而获得适合于改善耐蚀性的显微组织,这主要归因于Al_5Mo金属间化合物的形成。相(16.7原子%的Mo)。本优化模型利用了先前的实验和计算(有限元)建模数据来计算Mo的浓度(at%)。对所有当前数据集进行了优化分析,分析显示了44个最优解决方案,这些解决方案表明了最高的期望度。进行确认运行以验证优化模型。实验观察表明,在最佳加工条件下加工的样品具有良好的耐腐蚀性。

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