Parametric Optimization and Evaluation of RMDTM Welding Performance for ASTM A387 Grade 11 Steel Plates Using TOPSIS-Taguchi Approach

  • Dinbandhu
  • , Kumar Abhishek*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Continually increasing demands in pipeline welding concerning quality, frequent usage of superior, heat-sensitive, and corrosion-resistant materials alongside high assembly costs encourage the assessment of a welding process in detail. The only way to conquer such problems was the adaptation of technologically innovative welding methods that integrate the goodness of sophisticated power supply units and advanced software configuration. One such method is regulated metal deposition (RMDTM) welding. This work explores the influence of RMDTM welding variables and optimizes them for the best output responses. For that, voltage (V), current (A), and gas flow rate (GFR) were selected as welding variables, and their responses have been measured in terms of bead height (BH), bead width (BW), heat-affected zone (HAZ), and depth of penetration (DOP) by taking bead-on-plate trails on chrome moly steel plates. A novel optimization route based on the integrated concept of the TOPSIS-Taguchi approach has also been proposed, which delivers the optimal parametric setting as current = 100 A, voltage = 13 V, and gas flow rate = 21 L/min.

Original languageEnglish
Title of host publicationAdvances in Materials Processing and Manufacturing Applications - Proceedings of iCADMA 2020
EditorsAmar Patnaik, Ernst Kozeschnik, Vikas Kukshal
PublisherSpringer Science and Business Media Deutschland GmbH
Pages215-227
Number of pages13
ISBN (Print)9789811609084
DOIs
Publication statusPublished - 2021
EventInternational Conference on Advances in Materials Processing and Manufacturing Applications, iCADMA 2020 - Jaipur, India
Duration: 05-11-202006-11-2020

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

ConferenceInternational Conference on Advances in Materials Processing and Manufacturing Applications, iCADMA 2020
Country/TerritoryIndia
CityJaipur
Period05-11-2006-11-20

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Fingerprint

Dive into the research topics of 'Parametric Optimization and Evaluation of RMDTM Welding Performance for ASTM A387 Grade 11 Steel Plates Using TOPSIS-Taguchi Approach'. Together they form a unique fingerprint.

Cite this