Assessment of Weld Bead Performance for Pulsed Gas Metal Arc Welding (P-GMAW) Using Acoustic Emission (AE) and Machine Vision (MV) Signals Through NDT Methods for SS 304 Material
To gain high cost effective products along with quality and productivity, Pulsed Gas Metal Arc Welding (P-GMAW) process is used in many highly developed industries for fabrication of welded joints. The input parameters are the most important factors which affects the productivity, quality and cost effective for the welding process. The processes enable low net heat input, stable spray transfer and with low mean current. To enhance efficiencies with constant voltage GMAW process, P-GMAW is an outstanding substitute for those industries which are looking to improve quality of welds since the process helps over varying operator’s skills. It is essential to determine the input/output relationship parameters, in order to recognize and control the P-GMAW welding process. P-GMAW applies waveform control logic to fabricate a very precise control of the arc during speed range and a broad wire feed. The power source switches between low background current and a high peak current between 30 to 400 times per second to obtain modified spray transfer process. The peak current pinches off wire droplets and drive it to the welded joints over this period. The process produces low heat input allowing weld pool to solidify, that metal transfer cannot occur but by the mean time, background current maintains the arc with stable spray transfer. Trials have been conducted on SS 304 material using copper coated filler wire of size 1.4 mm based on the Taguchi’s L27 standard orthogonal array. Current, Gas Flow Rate (GFR) and Wire Feed Rate (WFR) with a constant speed are the input parameters considered to carry out trials. The output parameters are Yield strength (YS, N/mm2), percentage of elongation and Ultimate Tensile Strength (UTS, N/mm2). Indirect response parameters are Viz., AE signals such as welding AERMS, welding AEENERGY, tensile AERMS and tensile AEENERGY along with MV signals like area and height of the weld bead are considered to assess the performance of the weld bead joint. It is clearly observed from the obtained results that an excellent relationship exists between welding AERMS welding AEENERGY with tensile AERMS and tensile AEENERGY along with MV signals which were taken at the time of tensile test to evaluate the performance of the weld bead joint. Verification of the results are carried out through performing different NDT testing methods on weld bead joint Viz., X – radiography, Scanning Electron Microscope (SEM) images to analyse external defects in the welded joints. On different zones of welded joint, Energy dispersive analysis (EDX) examination is carried out for elemental composition.
Assessment of Weld Bead Performance for Pulsed Gas Metal Arc Welding (P-GMAW) Using Acoustic Emission (AE) and Machine Vision (MV) Signals Through NDT Methods for SS 304 Material
Category
Technical Paper Publication
Description
Session: 02-06-01 5th Symposium on Fastening, Adhesive Bonding, and Welding Technology
ASME Paper Number: IMECE2020-23438
Session Start Time: November 19, 2020, 05:25 PM
Presenting Author: Holalu Venkatdas Ravindra
Presenting Author Bio: H.V. Ravindra obtained his Bachelor of Engineering in Mechanical Engineering from P E S College of Engineering, Mandya, Post-Graduation in Production Engineering from Indian Institute of Technology, Madras, India, and Ph.D. from Indian Institute of Technology, Madras, India. He is currently working as a Professor and Principal at Diagnostic Research Centre in the Department of Mechanical Engineering, PES College of Engineering, Mandya, India. His main scientific interests deal with condition monitoring, non-traditional machining, metal matrix composites, acoustic emission and welding processes. He is the author of about 250 technical papers accepted in both refereed journals and conferences. He has received more than a crore funded projects under various agencies. He has guided 13 Ph.D.s and guiding one M.Sc. research scholar.
Authors: Ravindra Holalu Venkatdas Professor
Rudreshi Addamani P.E.S. College of Engineering
Ugrasen Gonchikar BMS College of Engineering
Gayathri Devi S K MSRUAS