A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach

Plasma Enhanced Shielded Metal Arc Welding (PESMAW) is a modified version of the age old manual metal are welding (MMA) where the cellulose based flux coated solid wires are replaced by tubular low hydrogen flux coated electrodes. PESMAW process is aimed to eliminate the usage of cellulose in the el...

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Main Authors: S, Thiruchitrambalam, SUNDARAM, HEMAVATHI, PANDEY, SUNIL
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/20194/1/A%20PREDICTION%20OF%20WELDING%20PROCESS%20CONTROL%20VARIABLES%20BY%20PREDICTION%20OF%20WELD%20BEAD%20GEOMETRY%20USING%20FACTORIAL%20DESIGN%20APPROACH-S%20THIRUCHITRAMBALAM-MAK%2000694%20RAF.pdf
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spelling my.utem.eprints.201942017-12-15T00:35:44Z http://eprints.utem.edu.my/id/eprint/20194/ A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach S, Thiruchitrambalam SUNDARAM, HEMAVATHI PANDEY, SUNIL T Technology (General) TJ Mechanical engineering and machinery Plasma Enhanced Shielded Metal Arc Welding (PESMAW) is a modified version of the age old manual metal are welding (MMA) where the cellulose based flux coated solid wires are replaced by tubular low hydrogen flux coated electrodes. PESMAW process is aimed to eliminate the usage of cellulose in the electrode coating so as to save some trees and hence make the welding process partially green. The high heat content of the cellulose supported arc is achieved by controlled supply of auxiliary plasma gas through the tubular wire directed into the arc. This paper discusses the influence of the welding process parameters to the weld bead characteristics of weldments made by PESMAW process using mild steel as base metal. Two level fractional factorial design was adopted to investigate and quantify the direct and interactive effects of four major control parameters. “Bend on plate” technique was used to lay weldments and bead geometry was measured using standard metallurgical procedures. Statistical models were made from the obtained results and were analyzed and tested by using analysis of variance technique and students’t’ test. The main and interactive effects of control parameters were studied and presented in graphical form. 2012 Conference or Workshop Item NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/20194/1/A%20PREDICTION%20OF%20WELDING%20PROCESS%20CONTROL%20VARIABLES%20BY%20PREDICTION%20OF%20WELD%20BEAD%20GEOMETRY%20USING%20FACTORIAL%20DESIGN%20APPROACH-S%20THIRUCHITRAMBALAM-MAK%2000694%20RAF.pdf S, Thiruchitrambalam and SUNDARAM, HEMAVATHI and PANDEY, SUNIL (2012) A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach. In: 3rd International Conference on Engineering and ICT (ICEI2012) , 4-6 April 2012, Mahkota Hotel, Melaka. (Submitted)
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
S, Thiruchitrambalam
SUNDARAM, HEMAVATHI
PANDEY, SUNIL
A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach
description Plasma Enhanced Shielded Metal Arc Welding (PESMAW) is a modified version of the age old manual metal are welding (MMA) where the cellulose based flux coated solid wires are replaced by tubular low hydrogen flux coated electrodes. PESMAW process is aimed to eliminate the usage of cellulose in the electrode coating so as to save some trees and hence make the welding process partially green. The high heat content of the cellulose supported arc is achieved by controlled supply of auxiliary plasma gas through the tubular wire directed into the arc. This paper discusses the influence of the welding process parameters to the weld bead characteristics of weldments made by PESMAW process using mild steel as base metal. Two level fractional factorial design was adopted to investigate and quantify the direct and interactive effects of four major control parameters. “Bend on plate” technique was used to lay weldments and bead geometry was measured using standard metallurgical procedures. Statistical models were made from the obtained results and were analyzed and tested by using analysis of variance technique and students’t’ test. The main and interactive effects of control parameters were studied and presented in graphical form.
format Conference or Workshop Item
author S, Thiruchitrambalam
SUNDARAM, HEMAVATHI
PANDEY, SUNIL
author_facet S, Thiruchitrambalam
SUNDARAM, HEMAVATHI
PANDEY, SUNIL
author_sort S, Thiruchitrambalam
title A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach
title_short A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach
title_full A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach
title_fullStr A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach
title_full_unstemmed A Prediction Of Welding Process Control Variables By Prediction Of Weld Bead Geometry Using Factorial Design Approach
title_sort prediction of welding process control variables by prediction of weld bead geometry using factorial design approach
publishDate 2012
url http://eprints.utem.edu.my/id/eprint/20194/1/A%20PREDICTION%20OF%20WELDING%20PROCESS%20CONTROL%20VARIABLES%20BY%20PREDICTION%20OF%20WELD%20BEAD%20GEOMETRY%20USING%20FACTORIAL%20DESIGN%20APPROACH-S%20THIRUCHITRAMBALAM-MAK%2000694%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20194/
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score 13.18916