The Determination of Optimum Parameters for Multi-Performance Characteristics in Pulsed Gas Metal Arc Welding of AISI 904 L Super Austenitic Stainless Steel Using Grey Relational Analysis

Abstract

Welding input parameters play a vital role in determining the quality of a weld joint. The quality of the joint can be defined in terms of mechanical properties and weld-bead geometry. Generally, all welding processes are employed with the aim of obtaining a welded joint with the desired characteristics. The purpose of this study is to propose a method to decide near optimal settings for the welding process parameters in pulsed gas metal arc welding (P-GMAW) of AISI 904L super austenitic stainless steel by using grey relational analysis. Grey relational analysis was applied to optimize the input parameters by considering multiple output variables simultaneously. The welds were performed on a sheet with a thickness of 5 mm and a filler wire of diameter of 1.2 mm and their levels of different process parameters were Peak Current (Ip), Pulse Time (tp), Pulse Frequency (f), back ground current (Ib) and welding speed (S) which were considered as input responses. The central composite rotatable design was used to carry out the experimental design and predict the effects of input and output responses. In this study, the output responses considered were bead width, tensile strength, % of elongation, impact strength and microhardness of the welds. The main objective of this work is to determine the P-GMAW process parameters to maximize the tensile strength, % of elongation, impact strength and microhardness and minimize the bead width of the processed joints. This study describes how to obtain near optimal welding conditions over a wide search space by conducting relatively a smaller number of experiments. ANOVA analysis was carried out to identify the significant factors affecting tensile strength, % of elongation, impact strength, microhardness and bead width and further to experimentally validate the optimized parameters. Further investigation was carried out to study the mechanical and metallurgical properties of the optimized parameter weld joints.

Authors and Affiliations

p. Manavalan, S. Ravi

Keywords

Related Articles

Performance Improvisation and Mathematical Modelling of Hardness of Tube Tex Roller Used in Textile Industry

The tTextile industry is a rapidly growing industry and seen many innovations to till date. One of the widely used machines in this industry is the Tube Tex compacting machine. It is used to remove the shrinkage in the f...

Studies in Surface Finishing of Inconel718 Flat Surface with Magnetic Abrasive Finishing

With technological developments in manufacturing industry, very hard and tough materials are being developed. Inconel 718 is one such material, which is a nickel based super alloy having high temperature and high-pressur...

EFFECT OF PRECIPITATION HARDENING ON STIR CAST Al6061-B4C REINFORCED COMPOSITE

The focus of the present investigation is to enhance mechanical properties of two-stage stir cast Al6061-B4C (2, 4 and 6 wt.%) reinforced metal matrix composites by artificial aging treatment. The Optical and Scanning El...

Design and Analysis of Mini-UAV

The aim was to design and analyze a mini UAV for a surveillance mission. To achieve the final vehicle, a novel design methodology, based on cruise optimization was incorporated to carry out the design and development of...

EXPERIMENTAL RESEARCH IN SMAW PARAMETER TO MINIMIZE THE RESIDUAL STRESS AND ANALYSIS FOR ELIMINATE COLD CRACKS

In a perfect earth all materials would match thro-ugh being without error, together in their mechanical and chemical structure. It would definitely make simpler welding, especially when choosing filler materials. So far...

Download PDF file
  • EP ID EP463880
  • DOI 10.24247/ijmperdfeb201930
  • Views 80
  • Downloads 0

How To Cite

p. Manavalan, S. Ravi (2019). The Determination of Optimum Parameters for Multi-Performance Characteristics in Pulsed Gas Metal Arc Welding of AISI 904 L Super Austenitic Stainless Steel Using Grey Relational Analysis. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ), 9(1), 305-318. https://europub.co.uk./articles/-A-463880