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Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340

Advancement in technology demands the joining of heterogeneous metals of low and high-carbon steel grades. In this investigation, AISI1018 low and AIS4340 medium carbon steels were welded to form a heterogeneous thin metal joint using the Manual Metal Arc Welding (MMAW) method. Experimental variatio...

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Autores principales: Wanazusi, Titus, Dennison, Milon Selvam, Nnamchi, Stephen Ndubuisi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519823/
https://www.ncbi.nlm.nih.gov/pubmed/37767127
http://dx.doi.org/10.1016/j.dib.2023.109572
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author Wanazusi, Titus
Dennison, Milon Selvam
Nnamchi, Stephen Ndubuisi
author_facet Wanazusi, Titus
Dennison, Milon Selvam
Nnamchi, Stephen Ndubuisi
author_sort Wanazusi, Titus
collection PubMed
description Advancement in technology demands the joining of heterogeneous metals of low and high-carbon steel grades. In this investigation, AISI1018 low and AIS4340 medium carbon steels were welded to form a heterogeneous thin metal joint using the Manual Metal Arc Welding (MMAW) method. Experimental variations of welding current, electrode position, and weld orientation are selected as the MMAW parameters. The trials are planned using the Full Factorial Design (FFD) and the trial results are analysed using Analysis of Variance (ANOVA) and regression methods. A computerized tensile testing machine (TM2101N) was used to test the tensile strength of the welded specimens that were prepared in accordance with the ASTM E646 – 98 standards. The prediction model for tensile strength was generated based on regression analysis. The ANOVA and prediction model helped in studying the effect of the MMAW parameters.
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spelling pubmed-105198232023-09-27 Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340 Wanazusi, Titus Dennison, Milon Selvam Nnamchi, Stephen Ndubuisi Data Brief Data Article Advancement in technology demands the joining of heterogeneous metals of low and high-carbon steel grades. In this investigation, AISI1018 low and AIS4340 medium carbon steels were welded to form a heterogeneous thin metal joint using the Manual Metal Arc Welding (MMAW) method. Experimental variations of welding current, electrode position, and weld orientation are selected as the MMAW parameters. The trials are planned using the Full Factorial Design (FFD) and the trial results are analysed using Analysis of Variance (ANOVA) and regression methods. A computerized tensile testing machine (TM2101N) was used to test the tensile strength of the welded specimens that were prepared in accordance with the ASTM E646 – 98 standards. The prediction model for tensile strength was generated based on regression analysis. The ANOVA and prediction model helped in studying the effect of the MMAW parameters. Elsevier 2023-09-14 /pmc/articles/PMC10519823/ /pubmed/37767127 http://dx.doi.org/10.1016/j.dib.2023.109572 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Wanazusi, Titus
Dennison, Milon Selvam
Nnamchi, Stephen Ndubuisi
Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340
title Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340
title_full Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340
title_fullStr Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340
title_full_unstemmed Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340
title_short Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340
title_sort dataset of manual metal arc welded heterogeneous thin steel plates aisi1018 and aisi4340
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519823/
https://www.ncbi.nlm.nih.gov/pubmed/37767127
http://dx.doi.org/10.1016/j.dib.2023.109572
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