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Sustainable green cutting fluid for interpreting optimization of process variables while machining on various CNC manufacturing systems—an experimental approach for exploring

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F25%3A00604678" target="_blank" >RIV/61389021:_____/25:00604678 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s00170-024-14028-2" target="_blank" >https://link.springer.com/article/10.1007/s00170-024-14028-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00170-024-14028-2" target="_blank" >10.1007/s00170-024-14028-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sustainable green cutting fluid for interpreting optimization of process variables while machining on various CNC manufacturing systems—an experimental approach for exploring

  • Original language description

    Sustainable metal machining always results in reduction in overall global environmental impacts such as material waste, power utility, and pollution, in machining industries. Even though there are several literature studies on eco-friendly cutting fluids, but they confine the applications to a single metal machining system only. Hence, this present work firstly prioritizes understanding of the role of various sustainable cutting fluids (viz. water-soluble oil, rice bran oil, coconut oil and neem oil) by analyzing the multi-response optimization (viz. application of VIKOR method) on lathe machine facing operation and thus exploring the optimal process variables. In addition, comparative study of the sustainable cutting fluids under consideration with their viscosities and wettability is added to enhance an in-depth comprehensive understanding of their role. Secondly, the estimated optimal eco-friendly cutting fluid (in this work, the neem oil) is adopted in two different machining systems such as computer numerical control (CNC) lathe system (3-axis facing) operations and a CNC turn-mill system (4-axis co-axial) operations for analyzing the machining responses with regard to their individual optimization and moreover, to correlate assessing of the machining parameters (viz. spindle speeds, tool feeds, and depth of cuts) on the generated responses using analysis of variance.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Advanced Manufacturing Technology

  • ISSN

    0268-3768

  • e-ISSN

    1433-3015

  • Volume of the periodical

    136

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    14

  • Pages from-to

    329-342

  • UT code for WoS article

    001264648300004

  • EID of the result in the Scopus database

    2-s2.0-85197803925