Regression Models for Quality Characteristics of IS-2062 Steel Welding by Saw Process

Authors

  • Meenu Sharma Research Scholar, Department of Mechanical Engineering, Integral University, Lucknow, India. https://orcid.org/0000-0001-6621-7833
  • Shahnwaz Alam Associate Professor, Department of Mechanical Engineering, Integral University, Lucknow, India.

Keywords:

IS-2062 Steel, Submerged Arc Welding, Welding Parameters, Regression Analysis

Abstract

Due to high deposition rates, Submerged#Arc#Welding#(SAW) an arc welding#process used in structural manufacturing. A study was undertaken to analyze Submerged_Arc_Welding_(SAW) on IS-2062 Steel_plates. Result obtained presented here are based on experimental study on the influence of welding current, arc voltage, welding speed and nozzle to plate distance in a semi automatic submerged welding that is typical IS-2062 steel plates. This is found out that weld_bead_penetration, weld_bead_width and weld strength which are affected mostly due to the welding current and arc voltage. Greater magnitude of arc voltage and current led to better mechanical_properties. A set of empirical_relations are established to evaluate the weld_bead dimensions and mechanical properties as function of the welding conditions. The forecasts from the empirical_relations and the equivalent measured outcomes are perceived to be in reasonable agreement with the confirmation tests performed.

References

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Published

2019-08-19

Issue

Vol. 6 No. 1&2 (2019): Journal of Advanced Research in Production and Industrial Engineering

Section

Research Article