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Performance of Water-Based Zinc Oxide Nanoparticle Coolant during Abrasive Grinding of Ductile Cast Iron

机译:球墨铸铁磨削水基氧化锌纳米颗粒冷却剂的性能

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This paper presents the performance of ductile cast iron grinding machining using water-based zinc oxide nanoparticles as a coolant. The experimental data was utilized to develop the mathematical model for first- and second-order models. The second order gives worthy performance of the grinding. The results indicate that the optimum parameters for the grinding model are 20 m/min table speed and 42.43 μm depth of cut for single-pass grinding. For multiple-pass grinding, optimization is at a table speed equal to 35.11 m/min and a depth of cut equal to 29.78 μm. The model fit was adequate and acceptable for sustainable grinding using a 0.15% volume concentration of zinc oxide nanocoolant. This paper quantifies the impact of water-based ZnO nanoparticle coolant on the achieved surface quality. It is concluded that the surface quality is the most influenced by the depth of cut(s) and table speed.
机译:本文介绍了使用水基氧化锌纳米粒子作为冷却剂的球墨铸铁磨削加工的性能。实验数据被用来开发一阶和二阶模型的数学模型。第二阶给出有价值的研磨性能。结果表明,该磨削模型的最佳参数为20 m / min的工作台速度和42.43μm的单程磨削切削深度。对于多道次磨削,最优化的工作台速度等于35.11μm/ min,切削深度等于29.78μm。模型拟合是足够的,并且对于使用0.15%体积浓度的氧化锌纳米冷却剂的可持续磨削来说是可接受的。本文量化了水基ZnO纳米颗粒冷却剂对达到的表面质量的影响。结论是,表面质量受切割深度和工作台速度的影响最大。

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