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    Multi-response optimization using anova and desirability function analysis: a case study in end milling of inconel alloy

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    Authors
    Ramanujam, R.
    Maiyar, Lohithaksha M.
    Venkatesan, K.
    Vasan, Mithun
    Affiliation
    VIT University
    Issue Date
    2014-04-01
    Subjects
    end milling
    Inconel super alloy
    multi-response optimization
    ANOVA
    desirability function analysis
    machinability
    Taguchi method
    Subject Categories::H710 Manufacturing Systems Engineering
    
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    Abstract
    Nickel-based super alloys are classified as 'difficult to machine' materials due to its inherent characteristics such as high hardness, and toughness, high strength at elevated temperatures, low thermal conductivity, ability to react with cutting inserts, and ability to weld onto the surface of the cutting insert. The present study investigated the parameter optimization of end milling operation for Inconel 718 super alloy with multi-response criteria based on the Taguchi method and desirability function analysis. Experimental tests were carried out based on an L9 orthogonal array of Taguchi method. The influence of machining factors cutting speed, feed rate and depth of cut were analyzed on the performances of surface roughness and material removal rate. The optimum cutting conditions are obtained by Taguchi method and desirability function. The analysis of variance (ANOVA) is also applied to investigate the effect of influential parameters. A regression model was developed for surface roughness and material removal rate as a function of cutting velocity, feed rate and depth of cut. Finally, the confirmation experiment was conducted for the optimal machining parameters, and the betterment has been proved. © 2006-2014 Asian Research Publishing Network (ARPN).
    Citation
    Ramanujam R, Maiyar L M, Venkatesan K, Vasan M (2014) 'Multi-response optimization using anova and desirability function analysis: A case study in end milling of inconel alloy', ARPN Journal of Engineering and Applied Sciences, 9 (4), pp.457-463.
    Publisher
    Asian Research Publishing Network
    Journal
    ARPN Journal of Engineering and Applied Sciences
    URI
    http://hdl.handle.net/10547/624666
    Additional Links
    http://arpnjournals.com/jeas/research_papers/rp_2014/jeas_0414_1056.pdf
    Type
    Article
    Language
    en
    ISSN
    1819-6608
    EISSN
    1819-6608
    Collections
    Business and management

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