Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm

Abstract With the increasing emphasis on sustainable manufacturing practices, eco-friendly lubricants have gained significant attention to moderate the friction coefficient at the tool-work interface. In line with this, the contemporary study aimed to examine the viability of Alumina-enriched sunflo...

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Main Authors: Binayak Sen, Abhijit Bhowmik, Gurbhej Singh, Vishwesh Mishra, Shantanu Debnath, Rustem Zairov, Muhammad Imam Ammarullah
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-80254-z
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author Binayak Sen
Abhijit Bhowmik
Gurbhej Singh
Vishwesh Mishra
Shantanu Debnath
Rustem Zairov
Muhammad Imam Ammarullah
author_facet Binayak Sen
Abhijit Bhowmik
Gurbhej Singh
Vishwesh Mishra
Shantanu Debnath
Rustem Zairov
Muhammad Imam Ammarullah
author_sort Binayak Sen
collection DOAJ
description Abstract With the increasing emphasis on sustainable manufacturing practices, eco-friendly lubricants have gained significant attention to moderate the friction coefficient at the tool-work interface. In line with this, the contemporary study aimed to examine the viability of Alumina-enriched sunflower bio-oil as a metalworking fluid. Different volume fractions of Alumina nanoparticles (varying from 0 to 1 vol%) were mixed with sunflower bio-oil, and the physical properties, for instance, contact angle and dynamic viscosity, were analyzed to determine the optimal concentration of Alumina. Subsequently, machining experiments were executed on Hastelloy C-276 under various lubricating conditions, including dry cutting, compressed air, sunflower bio-oil, and 0.6 vol% Alumina-sunflower bio-oil. A comparative analysis among these lubricating mediums demonstrated that sunflower bio-oil with a 0.6 vol% Alumina concentration outperformed others, resulting in a significant reduction of surface roughness, and tool wear by 73.31%, and 82.14% respectively when compared to dry machining. Besides, the utilization of 0.6 vol% Alumina-sunflower bio-oil has demonstrated a reduction of 17.86% in total machining cost, along with reductions of 15.44% in energy consumption and carbon emissions, when compared to dry machining. Finally, a Taguchi-designed experiment consisting of sixteen trials was performed in different lubricating conditions, and a Fuzzy-Mamdani model was employed to achieve a sustainable machining environment. The sustainability assessment results indicated that a cutting speed of 75 m/min, feed of 0.05 mm/tooth, depth of cut of 0.15 mm, and the utilization of the 0.6 vol% Alumina-sunflower bio-oil resulted in the most sustainable machining environment, with the highest Multi-Performance Characteristics Index of 0.75.
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institution Kabale University
issn 2045-2322
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spelling doaj-art-97c38324eee34807a11b296f759e26012025-01-26T12:34:53ZengNature PortfolioScientific Reports2045-23222024-11-0114112410.1038/s41598-024-80254-zAlumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigmBinayak Sen0Abhijit Bhowmik1Gurbhej Singh2Vishwesh Mishra3Shantanu Debnath4Rustem Zairov5Muhammad Imam Ammarullah6Centre for Computational Modeling, Chennai Institute of TechnologyDepartment of Mechanical Engineering, Dream Institute of TechnologyDepartment of Mechanical Engineering, Amritsar Group of CollegesDepartment of Mechanical Engineering, Institute of Engineering and Technology, GLA UniversityDepartment of Mechanical Engineering, SRKR Engineering CollegeAleksander Butlerov Institute of Chemistry, Kazan Federal UniversityDepartment of Mechanical Engineering, Faculty of Engineering, Universitas DiponegoroAbstract With the increasing emphasis on sustainable manufacturing practices, eco-friendly lubricants have gained significant attention to moderate the friction coefficient at the tool-work interface. In line with this, the contemporary study aimed to examine the viability of Alumina-enriched sunflower bio-oil as a metalworking fluid. Different volume fractions of Alumina nanoparticles (varying from 0 to 1 vol%) were mixed with sunflower bio-oil, and the physical properties, for instance, contact angle and dynamic viscosity, were analyzed to determine the optimal concentration of Alumina. Subsequently, machining experiments were executed on Hastelloy C-276 under various lubricating conditions, including dry cutting, compressed air, sunflower bio-oil, and 0.6 vol% Alumina-sunflower bio-oil. A comparative analysis among these lubricating mediums demonstrated that sunflower bio-oil with a 0.6 vol% Alumina concentration outperformed others, resulting in a significant reduction of surface roughness, and tool wear by 73.31%, and 82.14% respectively when compared to dry machining. Besides, the utilization of 0.6 vol% Alumina-sunflower bio-oil has demonstrated a reduction of 17.86% in total machining cost, along with reductions of 15.44% in energy consumption and carbon emissions, when compared to dry machining. Finally, a Taguchi-designed experiment consisting of sixteen trials was performed in different lubricating conditions, and a Fuzzy-Mamdani model was employed to achieve a sustainable machining environment. The sustainability assessment results indicated that a cutting speed of 75 m/min, feed of 0.05 mm/tooth, depth of cut of 0.15 mm, and the utilization of the 0.6 vol% Alumina-sunflower bio-oil resulted in the most sustainable machining environment, with the highest Multi-Performance Characteristics Index of 0.75.https://doi.org/10.1038/s41598-024-80254-zAlumina-enriched sunflower bio-oilMinimum quantity lubrication (MQL)Tool wear mechanismSurface protection filmFuzzy Mamdani modelSustainability index
spellingShingle Binayak Sen
Abhijit Bhowmik
Gurbhej Singh
Vishwesh Mishra
Shantanu Debnath
Rustem Zairov
Muhammad Imam Ammarullah
Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm
Scientific Reports
Alumina-enriched sunflower bio-oil
Minimum quantity lubrication (MQL)
Tool wear mechanism
Surface protection film
Fuzzy Mamdani model
Sustainability index
title Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm
title_full Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm
title_fullStr Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm
title_full_unstemmed Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm
title_short Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm
title_sort alumina enriched sunflower bio oil in machining of hastelloy c 276 a fuzzy mamdani model aided sustainable manufacturing paradigm
topic Alumina-enriched sunflower bio-oil
Minimum quantity lubrication (MQL)
Tool wear mechanism
Surface protection film
Fuzzy Mamdani model
Sustainability index
url https://doi.org/10.1038/s41598-024-80254-z
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