• A novel optimization algorithm on surface roughness of WEDM on titanium hybrid composite

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      https://www.ias.ac.in/article/fulltext/sadh/045/0236

    • Keywords

       

      WEDM; titanium hybrid composite; process parameters; surface roughness; optimization; desirable grey relational analysis

    • Abstract

       

      Titanium based alloys and composites have excellent strength and stability in high thermal condition,excellent resistance to creep, wear and corrosion, light weight and bio-compatible properties and are extensively used in defence, aerospace, spacecrafts, marine, automobile, sports and bio-medical applications.This paper presents an investigation based on a novel optimization algorithm called desirable grey relational analysis (DGRA) where experimental analysis is done on wire electro-discharge machining (WEDM) of a developed novel titanium hybrid composite having enhanced corrosion resistance, wear resistance, improved tribological and biocompatible properties than pure titanium, fabricated by laser engineered net shaping (LENS) process varying peak current (Ip) and pulse duration (PD) as main input process parameters. A mathematicalmodel is proposed based on 2 factors 4 levels design of experiments on output response like surface roughness (SR) and satisfactory results are obtained and authenticated by the confirmatory test. Deionized water is used as dielectric medium. Diffused zinc-coated brass wire is used as tool electrode. SR enhances with the enhancement of Ip but reduces with PD. The process model is prepared and the optimum process parameters are hence determined. The best SR obtained experimentally is 1.31 lm (Ip, 3A, PD, 4 ls). One optimized solution isobtained where Ip is 4.666 A, PD is 17.092 ls, SR is 1.742 lm, standard error (StdErr) of Design is 0.049 and Desirability is 0.900. The novelty lies in the combination of desirability function and grey relational analysiswhere experimental SR measured at optimized condition gets improved by 2.78% by desirability approach and further improves to 7.29% when predicted with DGRA

    • Author Affiliations

       

      SOUTRIK BOSE1 2 TITAS NANDI2

      1. Department of Mechanical Engineering, MCKV Institute of Engineering, 243 G.T. Road (N), Liluah, Howrah, West Bengal 711204, India
      2. Department of Mechanical Engineering, Jadavpur University, 188 Raja S.C. Mallick Road, Kolkata, West Bengal 700032, India
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