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Experimental and image processing-based characterization of sustainable bio-coolant for metal removal operations

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Abstract

In this experimental study, waste cooking oil is chosen as a sustainable coolant to remove the excess heat from metal removal operations. For this purpose, WCO is characterized for physicochemical, thermal, tribological, and rheological properties. In addition, the image processing (IP) technique is applied by capturing the WCO surface images to examine the possible reactions in WCO and changes on the metal surface when the oil interacts for 151 days. Around 135 surface images are captured to extract the significant red–green–blue (RGB) pixel information from the WCO. The possible changes in WCO are examined by studying their functional groups using Fourier transform infrared (FTIR) spectroscopy analysis. The results of thermal conductivity (0.191 W/(mK)), coefficient of friction (0.139 µ), frictional force (4.176 N), anti-wear (636.14 µm), and shear stress (0.09 Pa@60 °C) for WCO are observed lower than conventional metal-cutting fluid. Furthermore, IP results reveal no significant changes in RGB pixel intensity from the first day to the 151st day. In addition, the functional group analysis reveals no changes in the fingerprint and functional group region wavenumbers in the FTIR spectrum for first- and 151-day WCO samples. Therefore, it is concluded that WCO does not show any reactions with the metal, and it can be considered a sustainable bio-coolant for metal removal operations.

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Abbreviations

AI:

Artificial intelligence

ASTM:

American society for testing and materials

Conv:

Conventional coolant

FSSAI:

Food Safety and Standards Authority of India

FTIR:

Fourier transform infrared

IP:

Image processing

JPEG:

Joint photographic experts group

K:

Kelvin

MCF:

Metal-cutting fluid

Mt:

Million tons

RGB:

Red green blue

s:

Time in seconds

SDGs:

Sustainable development goals

USD:

United States dollar

W:

Watt

WCO:

Waste cooking oil

WCOs:

Waste cooking oils

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Authors and Affiliations

  1. Department of Mechanical Engineering, Centurion University of Technology and Management, Paralakhemundi, Odisha, India

    Arun Kumar Katam

  2. Department of Mechanical Engineering, Raghu Engineering College (A), Visakhapatnam, India

    Arun Kumar Katam & Aditya Kolakoti

  3. Department of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneshwar, India

    Ramesh Chandra Mohanty

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Katam, A.K., Mohanty, R.C. & Kolakoti, A. Experimental and image processing-based characterization of sustainable bio-coolant for metal removal operations. J Braz. Soc. Mech. Sci. Eng. 46, 216 (2024). https://doi.org/10.1007/s40430-024-04770-9

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