The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)

碩士 === 國立高雄應用科技大學 === 機械工程系 === 105 === In this study, MSC.MARC software was used to perform simulation analyses on J -groove during gas metal arc welding (GMAW) process which can cause deviation at steel plate end, warping, and residual stress and distortion of welding bead due to welding heat cond...

Full description

Bibliographic Details
Main Authors: WANG, YAN-RU, 王艶茹
Other Authors: Kang, YAW-HONG
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/5fvq77
id ndltd-TW-105KUAS0693072
record_format oai_dc
spelling ndltd-TW-105KUAS06930722019-05-15T23:32:33Z http://ndltd.ncl.edu.tw/handle/5fvq77 The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW) 低碳鋼材J型槽銲之GMAW銲接應力與應變分析 WANG, YAN-RU 王艶茹 碩士 國立高雄應用科技大學 機械工程系 105 In this study, MSC.MARC software was used to perform simulation analyses on J -groove during gas metal arc welding (GMAW) process which can cause deviation at steel plate end, warping, and residual stress and distortion of welding bead due to welding heat conduction. The simulated welding material used was a 10mm thick low-carbon steel plate, The simulated J-groove models were referred to AWS specimen-specific and GWAW parameters, and Gaussian double ellipsoid heat source was adopted as the welding heat source. Based on four different welding influencing factors, experimental GMAW simulation analyses were done on J-groove by this paper, and its temperature field, deviation amount at steel plate end, and the changes in residual stress and strain were observed and analyzed. The first experimental simulation analyses were done on three different welding bead appearances of J-groove. The second experimental simulation analyses were done on different heat dissipation coefficients (50~250W/m2K). The third experimental simulation analyses were done on the effective welding absorption rates (0.4~0.8) of different welding methods. The fourth experimental simulation analyses were done on four different orders of welding beads. From different simulation experiments done by this paper, the data obtained from deviation amount at steel plate end, warping extent, residual stress and distortion amount of welding seam, etc. can be used to predict the actual deviation amount at steel plate end, warping, residual stress of welding bead and distortion amount, etc. while performing J-groove welding with GMAW. Kang, YAW-HONG 康耀鴻 2017 學位論文 ; thesis 73 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立高雄應用科技大學 === 機械工程系 === 105 === In this study, MSC.MARC software was used to perform simulation analyses on J -groove during gas metal arc welding (GMAW) process which can cause deviation at steel plate end, warping, and residual stress and distortion of welding bead due to welding heat conduction. The simulated welding material used was a 10mm thick low-carbon steel plate, The simulated J-groove models were referred to AWS specimen-specific and GWAW parameters, and Gaussian double ellipsoid heat source was adopted as the welding heat source. Based on four different welding influencing factors, experimental GMAW simulation analyses were done on J-groove by this paper, and its temperature field, deviation amount at steel plate end, and the changes in residual stress and strain were observed and analyzed. The first experimental simulation analyses were done on three different welding bead appearances of J-groove. The second experimental simulation analyses were done on different heat dissipation coefficients (50~250W/m2K). The third experimental simulation analyses were done on the effective welding absorption rates (0.4~0.8) of different welding methods. The fourth experimental simulation analyses were done on four different orders of welding beads. From different simulation experiments done by this paper, the data obtained from deviation amount at steel plate end, warping extent, residual stress and distortion amount of welding seam, etc. can be used to predict the actual deviation amount at steel plate end, warping, residual stress of welding bead and distortion amount, etc. while performing J-groove welding with GMAW.
author2 Kang, YAW-HONG
author_facet Kang, YAW-HONG
WANG, YAN-RU
王艶茹
author WANG, YAN-RU
王艶茹
spellingShingle WANG, YAN-RU
王艶茹
The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)
author_sort WANG, YAN-RU
title The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)
title_short The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)
title_full The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)
title_fullStr The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)
title_full_unstemmed The Stress and Strain Analyses of J-Groove Welding on Low-carbon Steel for Gas Metal Arc Welding (GMAW)
title_sort stress and strain analyses of j-groove welding on low-carbon steel for gas metal arc welding (gmaw)
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/5fvq77
work_keys_str_mv AT wangyanru thestressandstrainanalysesofjgrooveweldingonlowcarbonsteelforgasmetalarcweldinggmaw
AT wángyànrú thestressandstrainanalysesofjgrooveweldingonlowcarbonsteelforgasmetalarcweldinggmaw
AT wangyanru dītàngāngcáijxíngcáohànzhīgmawhànjiēyīnglìyǔyīngbiànfēnxī
AT wángyànrú dītàngāngcáijxíngcáohànzhīgmawhànjiēyīnglìyǔyīngbiànfēnxī
AT wangyanru stressandstrainanalysesofjgrooveweldingonlowcarbonsteelforgasmetalarcweldinggmaw
AT wángyànrú stressandstrainanalysesofjgrooveweldingonlowcarbonsteelforgasmetalarcweldinggmaw
_version_ 1719150093131579392