Analysis of vegetable oil-based nano-lubricant technique for improving machinability of Inconel 690

被引:47
作者
Makhesana, Mayur A. [1 ]
Patel, Kaushik M. [1 ]
Khanna, Navneet [2 ]
机构
[1] Nirma Univ, Inst Technol, Mech Engn Dept, Ahmadabad 382481, Gujarat, India
[2] Inst Infrastruct Technol Res & Management IITRAM, Adv Mfg Lab, Ahmadabad 380026, Gujarat, India
关键词
Machining; MQL; Nanofluid; Vegetable oil; Surface roughness; Tool wear; Energy consumption; MINIMUM QUANTITY LUBRICATION; MACHINING CHARACTERISTICS; SUSTAINABILITY ASSESSMENT; COOLING TECHNIQUES; CUTTING FLUIDS; TOOL-WEAR; MQL; PERFORMANCE; NANOFLUIDS; ADDITIVES;
D O I
10.1016/j.jmapro.2022.03.060
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Conventional cutting fluids are applied to dissipate the heat generated in the cutting zone during machining. However, the use of metal cutting fluids causes adverse impacts on workers' health and the environment. Minimum quantity lubrication (MQL) has drawn attention to eliminating the use of mineral-based cutting fluids. The effectiveness of MQL can be further enhanced by employing vegetable oil and nanoparticles. Nanofluidbased lubricants result in superior heat transfer capacity and improved lubricity. In this context, the performance of vegetable oil mixed with and without molybdenum disulfide nanoparticles (nMoS2) applied with MQL is investigated during the machining of Inconel 690. The nanoparticles with different concentrations (0.5%, 1%, and 1.5%) are added in canola oil, and friction coefficient, thermal conductivity, viscosity, and wettability of nanofluids are analyzed. The machining experiments are performed under dry, flood cooling, MQL, and nMQL. The machining performance is evaluated by measuring tool wear, surface roughness, chip morphology, cutting temperature, and energy consumption. The findings revealed the superiority of nMQL with 54%, 29%, and 13% reduction in surface roughness and 56%, 39%, and 12% reduction in energy consumption compared to dry, flood cooling, and MQL environments. Also, nMQL has led to longer tool life. The effectiveness of nMQL has resulted in better tribological conditions in the cutting zone with enhanced cooling/lubricating action of vegetable oil and lamellar structure of nMoS2. The results show a significant role of nano-cutting fluid-based lubricant applications in the machining industry to meet energy-saving and sustainability goals without compromising product quality.
引用
收藏
页码:708 / 721
页数:14
相关论文
共 40 条
  • [31] Prediction and extensive analysis of MWCNT-MgO/oil SAE 50 hybrid nano-lubricant rheology utilizing machine learning and genetic algorithms to find ideal attributes
    Baghoolizadeh, Mohammadreza
    Pirmoradian, Mostafa
    Sajadi, S. Mohammad
    Salahshour, Soheil
    Baghaei, Sh.
    TRIBOLOGY INTERNATIONAL, 2024, 195
  • [32] Temperature-Responsive Nano-SiO2 Composite for Improving Shale Stability in Oil-Based Drilling Fluids
    Fan, Wei
    Shi, Wei
    Tang, Lei
    Chen, Siqi
    Zhou, Xuefeng
    Huang, Danchao
    Lai, Nanjun
    ENERGY & FUELS, 2024, 38 (09) : 7733 - 7745
  • [33] A bibliometric analysis on the tribological and physicochemical properties of vegetable oil-based bio-lubricants (2010-2021)
    Lee, Chiew Tin
    Lee, Mei Bao
    Mong, Guo Ren
    Chong, William Woei Fong
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (37) : 56215 - 56248
  • [34] Analysis of the Physicochemical Properties of Some Selected Non-Edible Vegetable Oil-Based Cutting Fluids Using the Design of Experiment (DOE) Approach
    Kazeem, Rasaq A.
    Fadare, David A.
    Ikumapayi, Omolayo M.
    Akinlabi, Stephen A.
    Afolalu, Sunday A.
    Akinlabi, Esther T.
    LUBRICANTS, 2022, 10 (02)
  • [35] Sustainable Vegetable Oil-Based Minimum Quantity Lubrication Assisted Machining of AZ91 Magnesium Alloy: A Grey Relational Analysis-Based Study
    Alshibi, Assem
    Nasreldin, Abdelrahman
    Pervaiz, Salman
    LUBRICANTS, 2023, 11 (02)
  • [36] Tribological characteristics and drilling performance of nano-MoS2-enhanced vegetable oil-based cutting fluid using eco-friendly MQL technique in drilling of AISI 321 stainless steel
    Amrit Pal
    Sukhpal Singh Chatha
    Hazoor Singh Sidhu
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021, 43
  • [37] An RBF-based artificial neural network for prediction of dynamic viscosity of MgO/SAE 5W30 oil hybrid nano-lubricant to obtain the best performance of energy systems
    Gao, Jie
    Jasim, Dheyaa J.
    Sajadi, S. Mohammad
    Eftekhari, S. Ali
    Hekmatifar, Maboud
    Salahshour, Soheil
    Shahdost, Farzad Tat
    Toghraie, Davood
    MATERIALS TODAY COMMUNICATIONS, 2024, 38
  • [38] Presenting a model based on knowledge management in modeling and optimizing the dynamic viscosity of MWCNT (30%) - ZnO (70%) / SAE 40 oil hybrid nano-lubricant with response surface methodology (RSM) for industrial uses
    Esfe, Mohammad Hemmat
    Tavallaee, Rouhollah
    Toghraie, Davood
    Motallebi, Seyed Majid
    Karajabad, Morteza Sarbaz
    TRIBOLOGY INTERNATIONAL, 2024, 191
  • [39] Prediction the dynamic viscosity of MWCNT-Al2O3 (30:70)/Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN)
    Esfe, Mohammad Hemmat
    Hajian, Mehdi
    Toghraie, Davood
    Khabaz, Mohamad Khaje
    Rahmanian, Alireza
    Pirmoradian, Mostafa
    Rostamian, Hossein
    EGYPTIAN INFORMATICS JOURNAL, 2022, 23 (03) : 427 - 436
  • [40] 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
    Binayak Sen
    Mozammel Mia
    Munish Kumar Gupta
    M. Azizur Rahman
    Uttam Kumar Mandal
    Sankar Prasad Mondal
    The International Journal of Advanced Manufacturing Technology, 2019, 103 : 3389 - 3403