Hard Machining of Inconel 690 Using Minimum Quantity Nanoparticle‐Enriched Vegetable Oils: A Sustainable Approach

ABSTRACT In response to the growing demand for sustainable manufacturing solutions, this research focuses on developing environmentally friendly lubricants designed to reduce friction at the tool–workpiece interface. The study investigates the performance of vegetable oil‐based nanofluids, specifically using soybean oil as the base fluid enriched with alumina and silica nanoparticles at concentrations ranging from 0% to 1.4%. Spectroscopic characterization was employed to determine the most effective nanoparticle concentration. Subsequently, hard machining experiments on Inconel 690 were carried out under four lubrication strategies: dry cutting, compressed air, soybean oil with 0.8% alumina nanoparticles, and soybean oil with 0.8% silica nanoparticles. Among these, the alumina‐based nanofluid demonstrated superior performance, achieving reductions of 43.70% in surface roughness, 22.70% in cutting force, 20.03% in temperature, and 45.65% in tool wear relative to dry machining conditions. To further optimize the process, a Taguchi experimental design comprising 27 trials was applied under the optimal lubrication condition. A genetic algorithm was then used to fine‐tune machining parameters, and experimental validation revealed a strong correlation between predicted and actual outcomes, with a mean error of only 3.04%. Overall, the findings highlight the effectiveness of nanoparticle‐enhanced bio‐lubricants in improving machining performance, extending tool life, and supporting environmentally responsible manufacturing practices.

Authors

Institutions

Publication Details

Journal
Engineering Reports
Published
2025-10-01
DOI
https://doi.org/10.1002/eng2.70428
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hard Machining of Inconel 690 Using Minimum Quantity Nanoparticle‐Enriched Vegetable Oils: A Sustainable Approach

Pragyan Senapati, Lema Abate, Jasgurpreet Singh Chohan, Harjot Singh Gill et al.
Engineering Reports
Advanced machining processes and optimization
article

Hard Machining of Inconel 690 Using Minimum Quantity Nanoparticle‐Enriched Vegetable Oils: A Sustainable Approach

Pragyan Senapati, Lema Abate, Jasgurpreet Singh Chohan, Harjot Singh Gill, A.C. Umamaheshwer Rao, J. Jayaprabakar, Yashwant Singh Bisht, Ashutosh Pattanaik, K. Suresh Babu
article en

Abstract

ABSTRACT In response to the growing demand for sustainable manufacturing solutions, this research focuses on developing environmentally friendly lubricants designed to reduce friction at the tool–workpiece interface. The study investigates the performance of vegetable oil‐based nanofluids, specifically using soybean oil as the base fluid enriched with alumina and silica nanoparticles at concentrations ranging from 0% to 1.4%. Spectroscopic characterization was employed to determine the most effective nanoparticle concentration. Subsequently, hard machining experiments on Inconel 690 were carried out under four lubrication strategies: dry cutting, compressed air, soybean oil with 0.8% alumina nanoparticles, and soybean oil with 0.8% silica nanoparticles. Among these, the alumina‐based nanofluid demonstrated superior performance, achieving reductions of 43.70% in surface roughness, 22.70% in cutting force, 20.03% in temperature, and 45.65% in tool wear relative to dry machining conditions. To further optimize the process, a Taguchi experimental design comprising 27 trials was applied under the optimal lubrication condition. A genetic algorithm was then used to fine‐tune machining parameters, and experimental validation revealed a strong correlation between predicted and actual outcomes, with a mean error of only 3.04%. Overall, the findings highlight the effectiveness of nanoparticle‐enhanced bio‐lubricants in improving machining performance, extending tool life, and supporting environmentally responsible manufacturing practices.

Engineering ReportsVol. 7(10)
Chandigarh University (IN), Jain University (IN), Deccan College of Medical Sciences (IN), Siksha O Anusandhan University (IN), Mizan Tepi University (ET), Uttaranchal University (IN), Marwadi University (IN), Dr. Reddy's Laboratories (India) (IN), Sathyabama Institute of Science and Technology (IN), Sohar University (OM)
Openalex Percentile: Top 72%
Advanced machining processes and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.