Temperature Analysis in Cubic Boron Nitrate Cutting Tool during Minimum Quantity Lubrication Turning with a Coconut-Oil-Based Nano-Cutting Fluid Using Computational Fluid Dynamics

被引:2
|
作者
Khetre, Subhash [1 ]
Bongale, Arunkumar [1 ]
Kumar, Satish [1 ]
Ramesh, B. T. [1 ]
机构
[1] Symbiosis Int, Symbiosis Inst Technol SIT, Pune 412115, India
关键词
minimum quantity lubrication (MQL); CBN insert; Inconel alloy; nano-cutting fluid; obstruction chip breaker; SiC; MWCNT; nanoparticle; heat transfer analysis; NANOFLUIDS; MQL;
D O I
10.3390/coatings14030340
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The minimum quantity lubrication (MQL) approach is used for improving tool life at a low cost, and it is environmentally friendly. When compared to traditional flood cooling technology, the flow rate in MQL is thought to be 10,000 times lower. The workpiece's surface smoothness is enhanced by continuous chip formation during turning, but because the tool is always in touch with the chip, a crater wear zone is formed on the rake face due to high friction and thermal stress. While adding nanoparticles to MQL enhances cutting performance, a high concentration of these nanoparticles causes burr adhesion and decreased chip evacuation capability due to the agglomeration of nanoparticles, which affects the surface finish of the workpiece. A novel "coconut-oil-based SiC-MWCNT nano-cutting fluid for a CBN insert cutting tool" is proposed in this approach to overcome these issues. Silicon carbide (SiC) and multi-walled carbon nanotubes (MWCNTs) are added to coconut oil with an appropriate volume fraction for better lubrication. The thermal properties of the proposed nano-cutting fluid are compared with those of some existing nano MQL cutting fluids, and it was found that the MQL cutting fluid under consideration exhibits an elevated thermal conductivity and convective heat transfer coefficient that efficiently reduce tool temperature and improve tool life. The comparative study between the Finite Element Simulation using computational fluid dynamics (CFD) predicted variation in tool temperature and the corresponding experimental values revealed a remarkable alignment with a marginal error ranging from 1.27% to 3.44%.
引用
收藏
页数:18
相关论文
共 38 条
  • [31] Prediction of temperature distribution over cutting tool with alumina-MWCNT hybrid nanofluid using computational fluid dynamics (CFD) analysis
    Sharma, Anuj Kumar
    Tiwari, Arun Kumar
    Dixit, Amit Rai
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 97 (1-4): : 427 - 439
  • [32] Evaluation of Machinability and Energy Consumption of CK45 Steel Using Synthetic-Based Nanofluid and Minimum Quantity Lubrication Cutting Fluid
    Sap, Emine
    Usca, Usame Ali
    Degirmenci, Unal
    Sap, Serhat
    Uzun, Mahir
    METALS, 2025, 15 (01)
  • [33] Characterization and experimental investigation of Al2O3 nanoparticle based cutting fluid in turning of AISI 1040 steel under minimum quantity lubrication (MQL)
    Sharma, Anuj Kumar
    Singh, Rabesh Kumar
    Dixit, Amit Rai
    Tiwari, Arun Kumar
    MATERIALS TODAY-PROCEEDINGS, 2016, 3 (06) : 1899 - 1906
  • [34] Experimental evaluation of an eco-friendly grinding process combining minimum quantity lubrication and graphene-enhanced plant-oil-based cutting fluid
    Li, Ming
    Yu, Tianbiao
    Zhang, Rongchuang
    Yang, Lin
    Ma, Zhelun
    Li, Baichun
    Wang, XueZhi
    Wang, Wanshan
    Zhao, Ji
    JOURNAL OF CLEANER PRODUCTION, 2020, 244
  • [35] Performance evaluation of minimum quantity lubrication by vege-table oil in terms of cutting force,cutting zone temperature,tool wear,job dimension and surface finish in turning AISI-1060 steel附视频
    KHAN MMA
    DHAR NR
    Journal of Zhejiang University Science A(Science in Engineering), 2006, (11) : 1790 - 1799
  • [36] Performance evaluation of the minimum quantity lubrication with Al2O3-mixed vegetable-oil-based cutting fluid in drilling of AISI 321 stainless steel
    Pal, Amrit
    Chatha, Sukhpal Singh
    Sidhu, Hazoor Singh
    JOURNAL OF MANUFACTURING PROCESSES, 2021, 66 : 238 - 249
  • [37] Optimization of cutting parameters and prediction of surface roughness during hard turning of H13 steel with minimal vegetable oil based cutting fluid application using response surface methodology
    Raj, Anil
    Wins, K. Leo Dev
    Varadarajan, A. S.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS AND MANUFACTURING APPLICATIONS (ICONAMMA-2018), 2019, 577