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Experimental Research on Heat Transfer Performance in MQL Grinding With Different Nanofluids

Experimental Research on Heat Transfer Performance in MQL Grinding With Different Nanofluids

Changhe Li, Hafiz Muhammad Ali
Copyright: © 2021 |Pages: 21
ISBN13: 9781799885917|ISBN10: 1799885917|EISBN13: 9781799887362
DOI: 10.4018/978-1-7998-8591-7.ch042
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MLA

Li, Changhe, and Hafiz Muhammad Ali. "Experimental Research on Heat Transfer Performance in MQL Grinding With Different Nanofluids." Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials, edited by Information Resources Management Association, IGI Global, 2021, pp. 1031-1051. https://doi.org/10.4018/978-1-7998-8591-7.ch042

APA

Li, C. & Ali, H. M. (2021). Experimental Research on Heat Transfer Performance in MQL Grinding With Different Nanofluids. In I. Management Association (Ed.), Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials (pp. 1031-1051). IGI Global. https://doi.org/10.4018/978-1-7998-8591-7.ch042

Chicago

Li, Changhe, and Hafiz Muhammad Ali. "Experimental Research on Heat Transfer Performance in MQL Grinding With Different Nanofluids." In Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials, edited by Information Resources Management Association, 1031-1051. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8591-7.ch042

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Abstract

An investigation into the effect of nanofluid minimum quantity lubrication (MQL) on the temperatures in surface grinding is presented and discussed. Six types of nanoparticles, namely molybdenum disulfide (MoS2), zirconium dioxide (ZrO2), carbon nanotube (CNT), polycrystalline diamond, aluminum oxide (Al2O3), and silica dioxide (SiO2), are considered to mix individually with a pollution-free palm oil in preparing the nanofluids. A commonly used Ni-based alloy was chosen as the workpiece material. It is shown that CNT nanofluid results in the lowest grinding temperature of 110.7°C and the associated energy proportionality coefficient of 40.1%. The relevant physical properties of the nanofluids such as the coefficient of thermal conductivity, viscosity, surface tension, and the contact state between the droplets and workpiece surface (contact angle) were discussed to shine a light on their effect on the cooling performance. A mathematical model for convective heat transfer coefficient was then developed based on the boundary layer theories.

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