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      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/045/0101

    • Keywords

       

      Additive manufacturing (AM); best worst method; proximity indexed value method; hybrid MCDM technique; decision support system; AM process selection.

    • Abstract

       

      Recently, Additive Manufacturing (AM) has been widely used in many applications. For a particular AM component, the choice of available AM processes is critical to the component’s quality, mechanical properties, and other important factors. In that context, this article presents an efficient decision support system for the selection of an appropriate AM process. A novel hybrid Multi-Criteria Decision Making (MCDM) technique has been proposed to select an appropriate AM process from available AM processes. The Best WorstMethod (BWM) is used to determine optimal weights of criteria and the Proximity Indexed Value (PIV) method is employed to rank the available AM processes. For benchmarking the abilities of an AM process, a conceptual model of spur gear was fabricated by four available AM processes viz., Vat Photopolymerization (VatPP), Material Extrusion (ME), Powder Bed Fusion (PBF), and Material Jetting (MJ). Additionally, Dimensional accuracy (A), surface roughness (R), tensile strength (S), percentage elongation (%E), heat deflection temperature(HDT), process cost (PC) and build time (BT) has been considered as most significant criteria. Further, sensitivity analysis has been performed to validate the reliability of the results. The results suggested that the Material Jetting (MJ) process produces dimensionally accurate and quality parts among available alternatives AM processes. The ranking obtained using the PIV method is consistent and reliable

    • Author Affiliations

       

      JAIRAM RAIGAR1 VISHAL S SHARMA2 SHEKHAR SRIVASTAVA1 RAMESH CHAND1 JAIVIR SINGH1

      1. Department of Industrial and Production Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar 144011, India
      2. School of Mechanical, Industrial and Aeronautical Engineering, University of Witwatersrand, Johannesburg, South Africa
    • Dates

       
  • Sadhana | News

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