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    Machining parameters effect in dry turning of AISI 316L stainless steel using coated carbide tools

    Access Status
    Fulltext not available
    Authors
    Nur, R.
    Noordin, M.
    Izman, S.
    Kurniawan, Denni
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Nur, R. and Noordin, M. and Izman, S. and Kurniawan, D. 2017. Machining parameters effect in dry turning of AISI 316L stainless steel using coated carbide tools. Proceedings Of The Institution Of Mechanical Engineers, Part E: Journal Of Process Mechanical Engineering. 231 (4): pp. 676-683.
    Source Title
    Proceedings Of The Institution Of Mechanical Engineers, Part E: Journal Of Process Mechanical Engineering
    DOI
    10.1177/0954408915624861
    ISSN
    0954-4089
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/67461
    Collection
    • Curtin Research Publications
    Abstract

    Austenitic stainless steel AISI 316L is used in many applications, including chemical industry, nuclear power plants, and medical devices, because of its high mechanical properties and corrosion resistance. Machinability study on the stainless steel is of interest. Toward sustainable manufacturing, this study also includes the power consumption during machining along with other machining responses of cutting force, surface roughness, and tool life. Turning on the stainless steel was performed using coated carbide tool without using cutting fluid. The turning was performed at various cutting speeds (90, 150, and 210 m/min) and feeds (0.10, 0.16, and 0.22 mm/rev). Response surface methodology was adopted in designing the experiments to quantify the effect of cutting speed and feed on the machining responses. It was found that cutting speed was proportional to power consumption and was inversely proportional to tool life, and showed no significant effect on the cutting force and the surface roughness. Feed was proportional to cutting force, power consumption, and surface roughness and was inversely proportional to tool life. Empirical equations developed from the results for all machining responses were shown to be useful in determining the optimum cutting parameters range.

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