Al₂O₃基蓖麻油纳米流体在aisi316l不锈钢mql辅助车削中的性能评价

IF 2 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Mithun Dhaval Shah, Abhay Utpat
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引用次数: 0

摘要

这项研究提出了一项综合评估,使用含有0.5 wt% Al₂O₃纳米颗粒(平均尺寸为30 nm)的环保蓖麻油基纳米流体,使用最小量润滑(MQL)对AISI 316L不锈钢进行可持续转向。采用田口L9正交试验分析了切削速度(164 ~ 370 m/min)、切削深度(0.25 ~ 0.75 mm)和润滑方式(干油、常规可溶油和纳米流体)对表面粗糙度的影响。在速度为370 m/min、深度为0.5 mm、纳米流体的条件下,表面粗糙度(Ra)最小为0.532µm。方差分析显示,冷却剂类型是影响表面质量变异的最大因素,对表面质量变异的贡献率为60.57%。新颖之处在于将可生物降解的Al₂O₃-蓖麻油纳米流体与有限元建模相结合,并将其应用于广泛使用的生物医学合金AISI 316L。DEFORM-3D模拟验证了实验趋势,预测的切削力和刀具切屑界面温度与实测值偏差小于8%,证实了很强的相关性。这种双重方法强调了纳米流体优越的摩擦学性能,并肯定了其作为符合工业4.0目标的高精度、低碳加工的绿色替代品的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of Al₂O₃-based castor oil nanofluid in MQL-assisted turning of AISI 316L stainless steel

This study presents a comprehensive evaluation of sustainable turning of AISI 316L stainless steel using Minimum Quantity Lubrication (MQL) with an eco-friendly castor oil-based nanofluid containing 0.5 wt% Al₂O₃ nanoparticles with an average size of 30 nm. The effects of cutting speed (164–370 m/min), depth of cut (0.25–0.75 mm), and lubrication method (dry, conventional soluble oil, and nanofluid) on surface roughness were analyzed using a Taguchi L9 orthogonal array. The optimal parameters 370 m/min speed, 0.5 mm depth, and nanofluid achieved a minimum surface roughness (Ra) of 0.532 µm. ANOVA revealed coolant type as the most influential factor, contributing 60.57% to surface quality variance. Novelty lies in the integration of a biodegradable Al₂O₃-castor oil nanofluid with finite element modelling and its application to AISI 316L, a widely used biomedical alloy. DEFORM-3D simulations validated experimental trends, with predicted cutting forces and tool-chip interface temperatures deviating by less than 8% from measured values, confirming strong correlation. This dual approach underscores the nanofluid’s superior tribological performance and affirms its role as a green alternative for high-precision, low-carbon machining aligned with Industry 4.0 goals.

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来源期刊
CiteScore
8.60
自引率
0.00%
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