当前位置: X-MOL 学术Int. J. Fuzzy Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Application of Graphene Nanofluid/Ultrasonic Atomization MQL System in Micromilling and Development of Optimal Predictive Model for SKH-9 High-Speed Steel Using Fuzzy-Logic-Based Multi-objective Design
International Journal of Fuzzy Systems ( IF 4.3 ) Pub Date : 2020-09-14 , DOI: 10.1007/s40815-020-00930-w
Wei-Tai Huang , Fu-I Chou , Jinn-Tsong Tsai , Jyh-Horng Chou

This paper focuses on using nanofluid (graphene)/ultrasonic atomization minimum quantity lubrication (MQL) in micromilling for SKH-9 high-speed steel. Utilizing the special properties of graphene, which has excellent thermal conductivity, it is found that it successfully lowers the cutting temperature generated during processing, reduces tool wear, and improves the quality of micromilling products. Using a self-developed ultrasonic atomization system effectively improves the agglomeration of nanoparticles in nanofluids and increases the lubrication efficiency of nanoparticles. The experimental plot is robustly designed, and the L18(21 × 37) orthogonal table is used to find the optimal combination of parameters. The control factors are the average thickness of the nanographene, density of nanofluid, spindle speed, distance of nozzle, feed rate, amount ultrasonic atomization, air pressure, nozzle angle, and using gray correlation analysis with fuzzy inference to find more heavy quality characteristics. Finally, the optimal parameter combination of multi-quality characteristics enhanced by nanofluid (graphene)/ultrasonic atomization MQL is compared with the base fluid/ultrasonic atomization MQL, nanofluid (MWCNTs)/ultrasonic atomization MQL, whereas the differences in micromilling force, temperature, tool wear, and workpiece burr are discussed. The results indicate that the use of nanofluid (graphene)/ultrasonic atomization MQL has better results than other lubrication methods.



中文翻译:

石墨烯纳米流体/超声雾化MQL系统在微铣削中的应用以及基于模糊逻辑的多目标设计开发SKH-9高速钢最佳预测模型

本文重点研究在SKH-9高速钢的微铣削中使用纳米流体(石墨烯)/超声波雾化最小量润滑(MQL)。利用具有优异导热性的石墨烯的特殊性能,发现它成功降低了加工过程中产生的切削温度,减少了工具磨损,并提高了微铣削产品的质量。使用自行开发的超声雾化系统可有效改善纳米流体中纳米颗粒的团聚并提高纳米颗粒的润滑效率。实验图经过精心设计,L 18(2 1  ×3 7)正交表用于查找参数的最佳组合。控制因素是纳米石墨烯的平均厚度,纳米流体的密度,纺锤速度,喷嘴距离,进料速度,超声雾化量,气压,喷嘴角度以及使用带有模糊推理的灰色关联分析来发现更重的质量特征。最后,将纳米流体(石墨烯)/超声波雾化MQL增强的多品质特性的最佳参数组合与基础流体/超声波雾化MQL,纳米流体(MWCNTs)/超声波雾化MQL进行了比较,而微铣削力,温度,讨论了刀具磨损和工件毛刺。结果表明,与其他润滑方法相比,使用纳米流体(石墨烯)/超声波雾化MQL具有更好的效果。

更新日期:2020-09-15
down
wechat
bug