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Multiple Performance Characteristics in the Application of Taguchi Fuzzy Method in Nanofluid/Ultrasonic Atomization Minimum Quantity Lubrication for Grinding Inconel 718 Alloys

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Abstract

This study proposed the application of a nanofluid/ultrasonic atomization minimum quantity lubrication (MQL) method to grind Inconel 718 alloys. This is a grinding manufacturing innovation on lubrication technology. Multiwall carbon nanotubes (MWCNTs) and molybdenum disulfide (MoS2) nanoparticles were used as the nanofluid additives. Specifically, MWCNTs exhibit excellent thermophysical properties to effectively remove the heat generated by cutting and reduce the friction coefficient, and MoS2 has excellent lubricating properties to generate film layers with high wear resistance to protect the workpiece and avoid plowing. The parameters of multiple performance characteristics were optimized through applications of the Taguchi robust design method, grey relational analysis, and a fuzzy inference system. The control parameters comprised nozzle angle, distance of the nozzle, type of nanoparticle, fraction of the nanofluid, value of atomization, tangential velocity, table rate, and air pressure. Subsequently, the optimized result was compared with basefluid/ultrasonic atomization MQL and nanofluid MQL. The results revealed that nanofluid/ultrasonic atomization MQL yields the optimal grinding force ratio, grinding temperature, and surface roughness.

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Acknowledgements

This work was supported in part by the Ministry of Science and Technology, Taiwan, R.O.C., under Grant Numbers MOST 109-2221-E-020-019-MY2. The authors also thank to Researchers Supporting Project number (Grant No. #NPUST-KMU-109-P009), NPUST-KMU JOINT RESEARCHPROJECT and the "Intelligent Manufacturing Research Center" (iMRC) from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, R.O.C.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Pingtung University of Science and Technology, Pingtung, Taiwan, ROC

    Wei-Tai Huang & Chuan Fu Hsu

  2. Department of Computer Science, National Pingtung University, Pingtung, Taiwan, ROC

    Jinn-Tsong Tsai

  3. Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, ROC

    Wen-Hsien Ho

  4. Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC

    Jinn-Tsong Tsai & Wen-Hsien Ho

  5. Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, ROC

    Jyh-Horng Chou

  6. Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan, ROC

    Jyh-Horng Chou

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  1. Wei-Tai Huang
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Correspondence to Wen-Hsien Ho or Jyh-Horng Chou.

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Huang, WT., Tsai, JT., Hsu, C.F. et al. Multiple Performance Characteristics in the Application of Taguchi Fuzzy Method in Nanofluid/Ultrasonic Atomization Minimum Quantity Lubrication for Grinding Inconel 718 Alloys. Int. J. Fuzzy Syst. 24, 294–309 (2022). https://doi.org/10.1007/s40815-021-01135-5

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