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Investigation on Influence of Hybrid Nanofluid/MQL on Surface Roughness in Turning Inconel-718

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Advances in Applied Mechanical Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Inconel 718 alloy is, in exacting superalloy, used extensively in the most sophisticated application such as aerospace, chemical, marine and high-speed racing cars. However, the characteristics of this material make it difficult to machine due to poor thermal conductivity (11 W/mK) and work hardening. The turning process is classified as a process that produces continuous chips and experiences elevated temperatures. With emerging new and efficient MQL delivery systems, the industry has shown drift from flood and dry lubrications towards MQL. Having this in mind, to further improve the cutting fluids, a novel hybrid nanocomposite of Cu–Zn was developed in situ with mechanical alloying. Cu–Zn/vegetable oil (groundnut oil) hybrid nanofluids were prepared by dispersing the synthesized nanocomposite powder in vegetable oil. A unist MQL system combined with a compressor is used to supply nanofluid mist to the cutting zone. The inserts used were TiAlN coated beyond blast insert from Kennametal with ISO designation CNGG 120408. The insert holder used was from Kennametal beyond blast with ISO designation MCLNL 2525 M12BB. The intent of this work is to haul out the effect of cutting parameters like speed, feed, depth of cut, volume of fluid and air pressure, when machined under dry, MQL/vegetable oil and MQL/nanofluid conditions. The results were compared while machining with dry and Veg/MQL lubricating conditions. A 39% reduction in surface roughness was obtained when compared to dry machining.

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Abbreviations

MQL:

Minimum quantity lubrication

C:

Cooling condition

V c :

Cutting speed (m/min)

f :

Feed rate (mm/rev)

a :

Depth of cut

Ra:

Arithmetic average roughness (mm)

F :

Variance ratio

P :

Probability of significance

R2:

Determination coefficient

DOE:

Design of experiments

ANOVA:

Analysis of variance

PCR:

Percentage of contribution

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, B V Raju Institute of Technology, Narsapur, Medak, Telangana, 502313, India

    Mechiri Sandeep Kumar

  2. Department of Mechanical Engineering, National Institute of Technology Warangal, Warangal, Telangana, 506004, India

    V. Vasu & A. Venu Gopal

Authors
  1. Mechiri Sandeep Kumar
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  2. V. Vasu
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  3. A. Venu Gopal
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Corresponding author

Correspondence to Mechiri Sandeep Kumar .

Editor information

Editors and Affiliations

  1. National Institute of Technology Warangal, Warangal, Telangana, India

    Hari Kumar Voruganti

  2. National Institute of Technology Warangal, Warangal, Telangana, India

    K. Kiran Kumar

  3. National Institute of Technology Warangal, Warangal, Telangana, India

    P. Vamsi Krishna

  4. University of British Columbia, Vancouver, BC, Canada

    Xiaoliang Jin

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Sandeep Kumar, M., Vasu, V., Venu Gopal, A. (2020). Investigation on Influence of Hybrid Nanofluid/MQL on Surface Roughness in Turning Inconel-718. In: Voruganti, H., Kumar, K., Krishna, P., Jin, X. (eds) Advances in Applied Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1201-8_120

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  • DOI: https://doi.org/10.1007/978-981-15-1201-8_120

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1200-1

  • Online ISBN: 978-981-15-1201-8

  • eBook Packages: EngineeringEngineering (R0)

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