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Influence of Al2O3 and palm oil–mixed nano-fluid on machining performances of Inconel-690: IF-THEN rules–based FIS model in eco-benign milling

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Abstract

With the increased prerequisites for ecological protection, the vegetable oil and nano-fluid-based minimum quantity lubrication (MQL) technology have become a modern research trend. For instance, the palm oil exhibits superior lubricity owing to fatty acid and film-developing characteristics of the carboxyl group. Conversely, due to unique physiochemical properties of Al2O3 nano-particles, they exhibit superior lubricity during machining operations. Thus, here, it was attempted to discover the benefits of Al2O3 and palm oil–mixed nano-fluid in MQL-assisted milling of Inconel 690 for eco-benign and cleaner manufacturing. During the experiment, different concentrations (0.5–5%) of Al2O3 nano-particles were mixed with palm oil. Afterward, the performances were evaluated with respect to the surface roughness, specific cutting energy, tool wear, and cutting temperature. From an economic perspective, the determination of ideal concentration (%) of the Al2O3 nano-particle is a crucial concern. Thus, a fuzzy interference system (FIS)–based model has been developed to obtain the optimum concentration (%) of Al2O3 nano-particle. The multi-performance characteristics index (MPCI) values confirmed that 2.5% was the optimum concentration for Al2O3 in MQL milling environment. Afterward, the machining performances obtained from 2.5% Al2O3 particle concentration have been compared with dry, flood, and pure palm oil condition. It is clearly found from the comparison that MQL milling with 2.5% Al2O3 nano-particle concentration demonstrated much better machining behavior than another lubricating medium.

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Abbreviations

MQL:

Minimum quantity lubrication

Al2O3 :

Aluminum oxide

FIS:

Fuzzy interference system

MPCI:

Multi-performance characteristics index

ISO:

International Organization for Standardization

AISI:

American Iron and Steel Institute

HSS:

High-speed steel

SiO2 :

Silicon dioxide

CNT:

Carbon nanotube

CuO:

Copper oxide

ZrO2 :

Zirconium dioxide

ND:

Nano-diamond

MoS2 :

Molybdenum disulfide

CNC:

Computer numerical control

SEM:

Scanning electron microscope

R a :

Surface roughness

E sp :

Specific cutting energy

V B :

Tool wear

T :

Cutting temperature

S/N:

Signal-to-noise ratio

α :

Contact angle

K eff :

Thermal conductivity of Al2O3 and palm oil–mixed nano-fluid

K p :

Thermal conductivity of the Al2O3 nano-particles

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Authors and Affiliations

  1. Department of Production Engineering, National Institute of Technology, Agartala, 799046, India

    Binayak Sen & Uttam Kumar Mandal

  2. Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh

    Mozammel Mia & M. Azizur Rahman

  3. University Center for Research & Development, Chandigarh University, Gharuan, Mohali, India

    Munish Kumar Gupta

  4. Department of Natural Science, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, India

    Sankar Prasad Mondal

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  1. Binayak Sen
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Correspondence to Mozammel Mia.

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Sen, B., Mia, M., Gupta, M.K. et al. Influence of Al2O3 and palm oil–mixed nano-fluid on machining performances of Inconel-690: IF-THEN rules–based FIS model in eco-benign milling. Int J Adv Manuf Technol 103, 3389–3403 (2019). https://doi.org/10.1007/s00170-019-03814-y

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