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首页> 外文期刊>Journal of Manufacturing Processes >Tribological performance of SiO_2-based nanofluids in minimum quantity lubrication grinding of Si_3N_4 ceramic
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Tribological performance of SiO_2-based nanofluids in minimum quantity lubrication grinding of Si_3N_4 ceramic

机译:SiO_2基纳米流体在Si_3N_4陶瓷最小量润滑研磨中的摩擦学性能

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摘要

Recently, there has been increased need for alternative lubrication techniques in grinding of advanced engineering ceramics. Literatures have indicated that the minimum quantity lubrication (MQL) method is a viable option for lubrication during grinding operations. The MQL technique was found to be non-hazardous, sustainable, eco-friendly, inexpensive and possess superior tribology than the conventional flood cooling technique. This work entails an experimental investigation on grinding of silicon nitride (Si3N4) ceramic using MQL with vegetable-oil-based silicon dioxide (SiO2) nanofluid. The grinding experiments were conducted using different process based on Taguchi L-16 experimental design. The acquired results of tangential, normal grinding forces, and surface quality were analysed using Taguchi SN ratio analysis. Subsequently, an ANFIS prediction model was developed to analyse the effects of the process parameters on the forces and surface quality. The developed ANFIS prediction model was found to be highly accurate in predicting the performances of the grinding operations. The results obtained show that, by increasing the nanofluid concentration, the grinding forces decreases significantly, with resultant improvement in the surface quality. The 2 w/w percentage was found to be the optimum nanofluid concentration whereas the air pressure of 0.8 MPa gave better performance. Lastly, an optimum parameter setting for grinding the engineering ceramic was obtained.
机译:最近,在高级工程陶瓷的研磨中,对替代润滑技术的需求日益增长。文献表明,最小量润滑(MQL)方法是磨削过程中润滑的可行选择。与传统的洪水冷却技术相比,MQL技术被认为是无害的,可持续的,生态友好的,廉价的,并且具有卓越的摩擦学性能。这项工作需要对使用基于植物油的二氧化硅(SiO2)纳米流体的MQL研磨氮化硅(Si3N4)陶瓷进行实验研究。根据田口L-16实验设计,使用不同的工艺进行了研磨实验。使用田口SN比分析法分析了切向,法向磨削力和表面质量的获取结果。随后,开发了ANFIS预测模型来分析过程参数对力和表面质量的影响。发现开发的ANFIS预测模型在预测磨削操作的性能方面非常准确。所得结果表明,通过增加纳米流体浓度,研磨力显着降低,从而改善了表面质量。发现2 w / w百分比是最佳的纳米流体浓度,而0.8 MPa的气压具有更好的性能。最后,获得了用于研磨工程陶瓷的最佳参数设置。

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