Danish Mohd, Rubaiee Saeed, Ijaz Hassan
Department of Mechanical and Materials Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia.
Department of Industrial and Systems Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia.
Materials (Basel). 2021 Jun 25;14(13):3547. doi: 10.3390/ma14133547.
Magnesium alloys are widely used in numerous engineering applications owing to their superior structural characteristics. However, the machining of magnesium alloy is challenging because of its poor machinability characteristics. Therefore, this paper investigates the machining of magnesium alloys under different sustainable cooling conditions. The machining was performed by varying cutting velocity, feed rate, and depth of cut under dry and cryogenic cooling conditions. The primary focus of the paper is to develop a predictive model for surface roughness under different machining environments. The models developed were found to be in excellent agreement with experimental results, with only 0.3 to 1.6% error. Multi-objective optimization were also performed so that the best surface finish together with high material removal rate could be achieved. Furthermore, the various parameters of surface integrity (i.e., surface roughness, micro-hardness, micro-structures, crystallite size, and lattice strain) were also investigated.
镁合金因其优异的结构特性而广泛应用于众多工程领域。然而，镁合金的加工具有挑战性，因为其可加工性较差。因此，本文研究了在不同可持续冷却条件下镁合金的加工情况。加工是在干式和低温冷却条件下通过改变切削速度、进给速度和切削深度来进行的。本文的主要重点是建立不同加工环境下表面粗糙度的预测模型。所建立的模型与实验结果吻合良好，误差仅为0.3%至1.6%。还进行了多目标优化，以便在实现高材料去除率的同时获得最佳表面光洁度。此外，还研究了表面完整性的各种参数（即表面粗糙度、显微硬度、微观结构、微晶尺寸和晶格应变）。
