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Investigating the Effects of Welding Processes on Tensile Stress and Strain Properties of Welded Mild Steel Plates Using Statistical Analysis

Received: 26 June 2020     Accepted: 13 July 2020     Published: 28 July 2020
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Abstract

As test samples, mild steel plates with thicknesses of 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm, and 1.0 mm were made. After welding these test samples underwent Tensile Stress and strain tests with the Built Welding Robot and Manual Electric Arc Welding Machine. Both data collected from tensile stress and tensile stress were analyzed and the data produced from Electric Arc welding operations, the Robot welding operations and un-welded plates (control) were compared with one another. The analyses of the data obtained from the developed welding robot, manual electric arc welding and un-welded (control) mild steel plates of different thicknesses were carried out for tensile stress and strain. The descriptive statistics, ANOVA analysis, test of homogeneity of Variances and Post Hoc test (Least Significant Differences) were the statistical tools deployed using Statistical Package of Social Sciences (SPSS version 2016). The results showed that the robot welding sample produced gave the lowest tensile stress while the un-welded samples (CONTROL) gave the highest. The un-welded (CONTROL) samples gave the highest tensile strain values while the lowest was given by the developed robot welding samples. Finally, it was evident from the analyses results that the welding processes have significant impact on the tensile stress and strain properties of the welded mild steel plates and that good welding quality can be achieved more with the developed welding robot.

Published in American Journal of Mechanical and Materials Engineering (Volume 4, Issue 3)
DOI 10.11648/j.ajmme.20200403.11
Page(s) 43-47
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Welding Processes, Tensile Stress, Tensile Strain, Mild Steel, Statistical Analysis

References
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[2] Haibach, E. (1968). Fatigue Strength of Welded Joints from Viewpoint of Local Strain Measurement (in German). Report FB-77, Fraunhofer- Institut fu¨r Betriebsfestigkeit (LBF), Darmstadt.
[3] Atztori, G. and Meneghetti, G. (2001). Fatigue strength of filled welded structural steels: finite elements, strain gauges and reality. International Journal of Fatigue, 23: 713–21.
[4] van Wingerde, A. M., Packer, J. A. and Wardenier, J. (1995). Criteria for the fatigue assessment of hollow structural section connections. J Construct Steel Res; 35: 71–115.
[5] Matoba, M., Kawasaki, T., Fujii, T. and Yamauchi, T. (1983). Evaluation of fatigue strength of welded structures—hull’s members, hollow section joints, piping and vessel joints. IIW-Doc. XIII-1082-83, International Institute of Welding.
[6] Radaj, D. (1990). Design and analysis of fatigue-resistant welded structures. German Edition: DVS-Verlag, Du¨sseldorf 1985; English Edition: Abington Publ., Cambridge.
[7] Petershagen, H., Fricke, W. and Massel, T. (1991). Application of the local approach to the fatigue strength assessment of welded structures in ships. IIW Doc. XIII-1409-91, International Institute of Welding.
[8] Fricke, W. and Petershagen, H. (1992). Detail design of welded ship structures based on hot spot stresses. In: Caldwell JB, Ward G, editors. Practical design of ships and mobile units. Elsevier Science.
[9] Niemi, E. (1995). Recommendations concerning stress determination for fatigue analysis of welded components. Cambridge: Abington Publication.
[10] Huther, I., Gorski, S., Lieurade, H. P., Laborde, S. and Recho, N. (1999). Longitudinal non loaded welded joints geometrical stress approach. Welding in the World, 43 (3): 20–6.
[11] Fricke, W. (2002). Recommended hot spot analysis procedure for structural details of ships and FPSOs based on round-robin FE analyses. International Journal of Offshore and Polar Engng, 12 (1): 40–7.
[12] Niemi, E. and Tanskanen, P. (2000). Hot spot stress determination for welded edge gussets. Welding in the World; 44 (5): 31–7.
[13] Fricke, W. and Bogdan, R. (2001). Determination of hot spot stress in structural members with in-plane notches using a coarse element mesh. IIW-Doc. XIII-1870-01, International Institute of Welding.
[14] Niemi, E. (2001). Structural Stress Approach to Fatigue Analysis of Welded Components—Designer’s Guide. IIW- Doc. XIII-1819-00/XV-1090-01 (Final Draft), International Institute of Welding.
[15] Dong, P. (2001). A structural stress definition and numerical implementation for fatigue analyses, International Journal of Fatigue, 23 (10): 865–76.
[16] Dong, P., Hong, J. K. and Cao, Z. (2001). A mesh- insensitive structural stress procedure for fatigue evaluation of welded structures. IIW- Doc. XIII-1902-01/XV-1089- 01, International Institute of Welding.
[17] Doerk, O. Fricke, W. and Weissenborn, C. (2003). Comparison of different calculation methods for structural stresses at welded joints, International Journal of Fatigue, 25: 359–369.
[18] Kim, W. S., Kim, D. H, Lee, S. G. and Lee, Y. K. (2001). Fatigue strength of load carrying box fillet weldment in ship structure. In: Wu Y-S, Cui W-C, Zhou G-J, editors. Practical design of ships and other floating structures. Elsevier Science.
[19] Paetzold, H. and Doerk, O. and Kierkegaard, H. (2001). Fatigue behaviour of different bracket connectons. In: Wu Y-S, Cui W-C, Zhou G-J, editors. Practical design of ships and other floating structures (Ed. Elsevier).
[20] Oladebeye, D. H., Adejuyigbe, S. B. and Kareem, B. (2020). Metallurgical Analyses of Welding Using a Developed Mini-Robot. American Journal of Mechanical and Materials Engineering, 4 (2): 26-36.
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    Oladebeye Dayo Hephzibah, Adejuyigbe Samuel Babatope, Olorunnishola Akim Abayomi Gideon. (2020). Investigating the Effects of Welding Processes on Tensile Stress and Strain Properties of Welded Mild Steel Plates Using Statistical Analysis. American Journal of Mechanical and Materials Engineering, 4(3), 43-47. https://doi.org/10.11648/j.ajmme.20200403.11

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    ACS Style

    Oladebeye Dayo Hephzibah; Adejuyigbe Samuel Babatope; Olorunnishola Akim Abayomi Gideon. Investigating the Effects of Welding Processes on Tensile Stress and Strain Properties of Welded Mild Steel Plates Using Statistical Analysis. Am. J. Mech. Mater. Eng. 2020, 4(3), 43-47. doi: 10.11648/j.ajmme.20200403.11

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    AMA Style

    Oladebeye Dayo Hephzibah, Adejuyigbe Samuel Babatope, Olorunnishola Akim Abayomi Gideon. Investigating the Effects of Welding Processes on Tensile Stress and Strain Properties of Welded Mild Steel Plates Using Statistical Analysis. Am J Mech Mater Eng. 2020;4(3):43-47. doi: 10.11648/j.ajmme.20200403.11

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  • @article{10.11648/j.ajmme.20200403.11,
      author = {Oladebeye Dayo Hephzibah and Adejuyigbe Samuel Babatope and Olorunnishola Akim Abayomi Gideon},
      title = {Investigating the Effects of Welding Processes on Tensile Stress and Strain Properties of Welded Mild Steel Plates Using Statistical Analysis},
      journal = {American Journal of Mechanical and Materials Engineering},
      volume = {4},
      number = {3},
      pages = {43-47},
      doi = {10.11648/j.ajmme.20200403.11},
      url = {https://doi.org/10.11648/j.ajmme.20200403.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmme.20200403.11},
      abstract = {As test samples, mild steel plates with thicknesses of 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm, and 1.0 mm were made. After welding these test samples underwent Tensile Stress and strain tests with the Built Welding Robot and Manual Electric Arc Welding Machine. Both data collected from tensile stress and tensile stress were analyzed and the data produced from Electric Arc welding operations, the Robot welding operations and un-welded plates (control) were compared with one another. The analyses of the data obtained from the developed welding robot, manual electric arc welding and un-welded (control) mild steel plates of different thicknesses were carried out for tensile stress and strain. The descriptive statistics, ANOVA analysis, test of homogeneity of Variances and Post Hoc test (Least Significant Differences) were the statistical tools deployed using Statistical Package of Social Sciences (SPSS version 2016). The results showed that the robot welding sample produced gave the lowest tensile stress while the un-welded samples (CONTROL) gave the highest. The un-welded (CONTROL) samples gave the highest tensile strain values while the lowest was given by the developed robot welding samples. Finally, it was evident from the analyses results that the welding processes have significant impact on the tensile stress and strain properties of the welded mild steel plates and that good welding quality can be achieved more with the developed welding robot.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Investigating the Effects of Welding Processes on Tensile Stress and Strain Properties of Welded Mild Steel Plates Using Statistical Analysis
    AU  - Oladebeye Dayo Hephzibah
    AU  - Adejuyigbe Samuel Babatope
    AU  - Olorunnishola Akim Abayomi Gideon
    Y1  - 2020/07/28
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajmme.20200403.11
    DO  - 10.11648/j.ajmme.20200403.11
    T2  - American Journal of Mechanical and Materials Engineering
    JF  - American Journal of Mechanical and Materials Engineering
    JO  - American Journal of Mechanical and Materials Engineering
    SP  - 43
    EP  - 47
    PB  - Science Publishing Group
    SN  - 2639-9652
    UR  - https://doi.org/10.11648/j.ajmme.20200403.11
    AB  - As test samples, mild steel plates with thicknesses of 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm, and 1.0 mm were made. After welding these test samples underwent Tensile Stress and strain tests with the Built Welding Robot and Manual Electric Arc Welding Machine. Both data collected from tensile stress and tensile stress were analyzed and the data produced from Electric Arc welding operations, the Robot welding operations and un-welded plates (control) were compared with one another. The analyses of the data obtained from the developed welding robot, manual electric arc welding and un-welded (control) mild steel plates of different thicknesses were carried out for tensile stress and strain. The descriptive statistics, ANOVA analysis, test of homogeneity of Variances and Post Hoc test (Least Significant Differences) were the statistical tools deployed using Statistical Package of Social Sciences (SPSS version 2016). The results showed that the robot welding sample produced gave the lowest tensile stress while the un-welded samples (CONTROL) gave the highest. The un-welded (CONTROL) samples gave the highest tensile strain values while the lowest was given by the developed robot welding samples. Finally, it was evident from the analyses results that the welding processes have significant impact on the tensile stress and strain properties of the welded mild steel plates and that good welding quality can be achieved more with the developed welding robot.
    VL  - 4
    IS  - 3
    ER  - 

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Author Information
  • Department of Mechanical Engineering Technology, Federal Polytechnic, Ado-Ekiti, Nigeria

  • Mechatronics Engineering Department, Federal University, Oye-Ekiti, Nigeria

  • Department of Mechanical Engineering Technology, Federal Polytechnic, Ado-Ekiti, Nigeria

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