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  • Prediction of multi performance characteristics of wire EDM process using grey ANFIS [Elektronski vir]
    Kumanan, Somasundaram ; Nair, Anish
    Super alloys are used to fabricate components in ultra-supercritical power plants. These hard to machine materials are processed using non-traditional machining methods like Wire cut electrical ... discharge machining and needs attention. This paper details about multi performance optimization of wire EDM process using Grey ANFIS. Experiments are designed to establish the performance characteristics of wire EDM such as surface roughness, material removal rate, wire wear rate and geometric tolerances. The control parameters are pulse on time, pulse off time, current, voltage, flushing pressure, wire tension, table feed and wire speed. Grey relational analysis is employed to optimise the multi objectives. Analysis of variance of the grey grades is used to identify the critical parameters. A regression model is developed and used to generate datasets for the training of proposed adaptive neuro fuzzy inference system. The developed prediction model is tested for its prediction ability.
    Vir: International Conference on Materials and Intelligent Manufacturing [Elektronski vir] : ICMIM 2017 : 21–23 August 2017, National University of Singapore (NUS), Singapore (Vol. 244, [article nr.] 012003, 2017, str. 1-8)
    Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasle
    Leto - 2017
    Jezik - angleški
    COBISS.SI-ID - 177517059

    Povezava(-e):

    https://iopscience.iop.org/article/10.1088/1757-899X/244/1/012003
    DOI

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