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Influence of the graphene nanoplatelets addition to corn oil on surface quality and machining performance

Research output: Contribution to journal › Article › peer-review

Abstract

Cooling using cutting fluid in the CNC machining process of AISI 1045 steel is crucial for producing products with good surface quality. However, the long-term use of cutting fluid can have negative impacts on both the environment and human health. This study aims to analyse the characterisation and machining performance of a corn oil-based cutting fluid containing graphene nanoplatelets (GNPs) using the minimum quantity lubrication (MQL) method. It demonstrates the potential of corn oil-based cutting fluids containing GNPs to enhance surface quality (surface roughness) and machining performance (tool morphology and chip morphology). Machining was performed at a cutting speed of 110 m/min, a depth of 1.5 mm and a feed rate of 0.12 mm/rpm. MQL was applied with a spray angle of 45°, distance of 20 mm, pressure of 4 bar and nozzle diameter of 2 mm. Several conditions were used in the study, including dry, MQL with corn oil, and MQL with corn oil and added GNPs (0.10 – 0.30 wt. %). The results showed that the cutting fluid reduced surface roughness by 74 % compared to dry cutting conditions. The tool morphology showed a thin graphene layer, which can reduce friction and minimise built-up edge. This condition was also supported by examination of chip morphology, where a GNPs percentage of 0.25 wt. % produced C-shape chips, indicating high deformation.

Original languageEnglish
Pages (from-to)177-191
Number of pages15
JournalTribology and Materials
Volume4
Issue number4
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • AISI 1045
  • corn oil
  • graphene nanoplatelets
  • surface roughness
  • worn surface morphology

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