Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim

Robotic Welding (RW) is an ideal welding method to produce airtight joint. Many parameters affect the RW quality as welding current, welding voltage, travel speed, width of weaving, torch angle, width plate, clamping position and time gaps between passed. Welding input parameters play very significa...

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Main Author: Abdul Rahim, Mohammad Ridzwan
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/26438/2/26438.pdf
https://ir.uitm.edu.my/id/eprint/26438/
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spelling my.uitm.ir.264382024-05-30T03:36:45Z https://ir.uitm.edu.my/id/eprint/26438/ Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim Abdul Rahim, Mohammad Ridzwan Management of the construction site. Superintendence of building construction Robotic Welding (RW) is an ideal welding method to produce airtight joint. Many parameters affect the RW quality as welding current, welding voltage, travel speed, width of weaving, torch angle, width plate, clamping position and time gaps between passed. Welding input parameters play very significant role in determining the quality of a weld formation. This parameter is applied on v-butt joint and t-fillet joint with plate thickness 4mm, 6mm and 9mm. This project is to study the Design of Experiment (DoE) which can approach the optimization of parameter design. Functions for DoE can help to create and test practical plans to gather data for statistical modelling. DoE is structured, organized method that is used to determine the relationship between the different factor (Xs) affecting a process and the output of process (Y). DoE involve designing a series of experiments, in which all relevant factors are varied systematically. When the result of these experiments are analyzed, they help to identify optimal conditions, the factors that most influence the result, those that do not, as well as details such as the existence of interactions and synergies between factors. The average percentage error for plate thickness 9 mm butt joint by using Fractional Factorial Desing is 10.049 %. The optimum parameter would be utilized to develop Welding Procedure Specification (WPS). As the final objective, the development of WPS in this project will be applied to ship panel. 2014 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/26438/2/26438.pdf Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim. (2014) Masters thesis, thesis, Universiti Teknologi MARA. <http://terminalib.uitm.edu.my/26438.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Management of the construction site. Superintendence of building construction
spellingShingle Management of the construction site. Superintendence of building construction
Abdul Rahim, Mohammad Ridzwan
Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim
description Robotic Welding (RW) is an ideal welding method to produce airtight joint. Many parameters affect the RW quality as welding current, welding voltage, travel speed, width of weaving, torch angle, width plate, clamping position and time gaps between passed. Welding input parameters play very significant role in determining the quality of a weld formation. This parameter is applied on v-butt joint and t-fillet joint with plate thickness 4mm, 6mm and 9mm. This project is to study the Design of Experiment (DoE) which can approach the optimization of parameter design. Functions for DoE can help to create and test practical plans to gather data for statistical modelling. DoE is structured, organized method that is used to determine the relationship between the different factor (Xs) affecting a process and the output of process (Y). DoE involve designing a series of experiments, in which all relevant factors are varied systematically. When the result of these experiments are analyzed, they help to identify optimal conditions, the factors that most influence the result, those that do not, as well as details such as the existence of interactions and synergies between factors. The average percentage error for plate thickness 9 mm butt joint by using Fractional Factorial Desing is 10.049 %. The optimum parameter would be utilized to develop Welding Procedure Specification (WPS). As the final objective, the development of WPS in this project will be applied to ship panel.
format Thesis
author Abdul Rahim, Mohammad Ridzwan
author_facet Abdul Rahim, Mohammad Ridzwan
author_sort Abdul Rahim, Mohammad Ridzwan
title Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim
title_short Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim
title_full Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim
title_fullStr Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim
title_full_unstemmed Investigation on robotic gas metal arc welding quality for specific ship panel structure / Mohammad Ridzwan Abdul Rahim
title_sort investigation on robotic gas metal arc welding quality for specific ship panel structure / mohammad ridzwan abdul rahim
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/26438/2/26438.pdf
https://ir.uitm.edu.my/id/eprint/26438/
_version_ 1800726660648009728
score 13.213126