Optimization of Welding Process Parameters for Pressure Vessel

碩士 === 東南科技大學 === 防災科技研究所 === 98 === Pressure vessel is considered as one of the dangerous equipment by Taiwan's Labor Safety and Health Law. The dangerous equipment will cause explosion to endangering workers and the public safety if manufactured or used inappropriately. Submerged Arc Welding...

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Main Authors: Wen-Chung Lin, 林文忠
Other Authors: Julian Jeng-Lin Lin
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/54456664768251465447
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spelling ndltd-TW-098TNIOT6530032015-11-13T04:15:08Z http://ndltd.ncl.edu.tw/handle/54456664768251465447 Optimization of Welding Process Parameters for Pressure Vessel 壓力容器銲接參數最佳化 Wen-Chung Lin 林文忠 碩士 東南科技大學 防災科技研究所 98 Pressure vessel is considered as one of the dangerous equipment by Taiwan's Labor Safety and Health Law. The dangerous equipment will cause explosion to endangering workers and the public safety if manufactured or used inappropriately. Submerged Arc Welding (SAW) is commonly used in pressure vessel manufacturing. The welding quality will affect greatly to the make use safety of pressure vessel. Taguchi method is one of the most useful tools in experimental design. The method that has been widely used in occasions like less numbers of experiments can handle only single performance characteristic problems. The objective of this paper is to search the optimal welding parameters of SAW that is the most commonly used in the manufacture of pressure vessel by the Taguchi method with Grey relational analysis. The welding parameters (Stick-out, Welding current, Welding voltage, Travel speed) are optimized with considerations of the multiple response performance characteristics (the fusion of root, the face width of weld pool, and the undercut of weld pool).First, the Taguchi’s orthogonal array method which adapts to design an efficient experiment is used to plan the SAW process experiment and welding parameters in layout to reduce the experiment times in this study. In the meantime, the Grey relational grade is also used to find the optimal SAW parameters with the multiple response performance characteristics. The result of the experiment discovered that grey relational grade with the multiple performance characteristics increased from 0.6247 to 0.8042.The improvement percentage of the Grey relational grade is 28.7% that also increased the quality and the safety of pressure vessel. In the future, the dangerous equipment ensures the security of use from the manufacture source. Keywords:Optimization, Taguchi method, Gray relational analysis, submerged arc welding, SAW, Multiple performance characteristics, Dangerous equipment, Pressure vessel Julian Jeng-Lin Lin 林正鄰 2010 學位論文 ; thesis 90 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 東南科技大學 === 防災科技研究所 === 98 === Pressure vessel is considered as one of the dangerous equipment by Taiwan's Labor Safety and Health Law. The dangerous equipment will cause explosion to endangering workers and the public safety if manufactured or used inappropriately. Submerged Arc Welding (SAW) is commonly used in pressure vessel manufacturing. The welding quality will affect greatly to the make use safety of pressure vessel. Taguchi method is one of the most useful tools in experimental design. The method that has been widely used in occasions like less numbers of experiments can handle only single performance characteristic problems. The objective of this paper is to search the optimal welding parameters of SAW that is the most commonly used in the manufacture of pressure vessel by the Taguchi method with Grey relational analysis. The welding parameters (Stick-out, Welding current, Welding voltage, Travel speed) are optimized with considerations of the multiple response performance characteristics (the fusion of root, the face width of weld pool, and the undercut of weld pool).First, the Taguchi’s orthogonal array method which adapts to design an efficient experiment is used to plan the SAW process experiment and welding parameters in layout to reduce the experiment times in this study. In the meantime, the Grey relational grade is also used to find the optimal SAW parameters with the multiple response performance characteristics. The result of the experiment discovered that grey relational grade with the multiple performance characteristics increased from 0.6247 to 0.8042.The improvement percentage of the Grey relational grade is 28.7% that also increased the quality and the safety of pressure vessel. In the future, the dangerous equipment ensures the security of use from the manufacture source. Keywords:Optimization, Taguchi method, Gray relational analysis, submerged arc welding, SAW, Multiple performance characteristics, Dangerous equipment, Pressure vessel
author2 Julian Jeng-Lin Lin
author_facet Julian Jeng-Lin Lin
Wen-Chung Lin
林文忠
author Wen-Chung Lin
林文忠
spellingShingle Wen-Chung Lin
林文忠
Optimization of Welding Process Parameters for Pressure Vessel
author_sort Wen-Chung Lin
title Optimization of Welding Process Parameters for Pressure Vessel
title_short Optimization of Welding Process Parameters for Pressure Vessel
title_full Optimization of Welding Process Parameters for Pressure Vessel
title_fullStr Optimization of Welding Process Parameters for Pressure Vessel
title_full_unstemmed Optimization of Welding Process Parameters for Pressure Vessel
title_sort optimization of welding process parameters for pressure vessel
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/54456664768251465447
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