Applied Engineering

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A Central Composite Design Approach to Minimize Percentage Dilution of TIG Weldments

Received: Aug. 26, 2019    Accepted: Sep. 24, 2019    Published: Oct. 23, 2019
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Abstract

The integrity of welded joints is dependent on the strength and load bearing capacity of the welded joint, of which this can be achieved by maximizing the process parameters that has a positive effect on the strength and minimizing those having negative effects on the weld joints. This study is carried out with a purpose of minimizing the percentage dilution considering current, voltage and gas flow rate as the input parameters on TIG mild steel weld using expert systems. The welding experiment was performed using the Central Composite Design matrix, thereafter percentage dilution responses was measured, recorded and modelled using the Response Surface Methodology (RSM). The result obtained shows that the quadratic model has adequate strength to explain the relationship between the process factors and the percentage dilution, with with a P-value < 0.05 and coefficient of determination (R2) value of 90% and a noise to signal ratio of 10.14 indicating the accuracy and reliability of the optimal solutions.

DOI 10.11648/j.ae.20190302.21
Published in Applied Engineering ( Volume 3, Issue 2, December 2019 )
Page(s) 148-153
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), 2024. Published by Science Publishing Group

Keywords

Percentage Dilution, Central Composite Design, Tungsten Inert Gas, Welding

References
[1] Benyounis K. Y. and Olabi A. G. (2008). Optimization of different welding process using statistical and numerical approaches- a reference guide. Advances in Engineering Software, 36, 483-496.
[2] Raveendra And R. S. Parmar (1987) Mathematical Models To Predict Weld Bead Geometry For Flux Cored Arc Welding, J. Of Metal Construction, Vol. 19, N. 2, January 1987, Pp. 31r-35r.
[3] N. Murugan And R. S. Parmar, Effect Of Welding Conditions On Microstructure And Properties Of Tupe 316l Stainless Steel Submerged Arc Welding Cladding, Welding.
[4] V. Gunaraj And N. Murugan (1999) Application Of Response Surface Methodology For Predicting Weld Bead Quality In Submerged Arc Welding Of Pipes, J. Of Materials Processing Tech., Vol. 88, 1999, Pp. 266-275.
[5] T. Kannan And N. Murugan (2006) Effect Of Flux Cored Arc Welding Process Parameters On Duplex Stainless Steel Clad Quality, J. Of Material Processing Technology, Vol. 176, 2006, Pp. 230-239.
[6] S. W. Banovic, J. N. DuPont, A. R. Marder (2001),” Dilution control in gas-tungsten-arc welds involving super austenitic stainless steels and nickel-based alloys”. Metallurgical and Materials Transactions, 32, 1171-1176, 2001.
[7] V. H. C. Albuquerque, C. C. Silva, C. R. O. Moura, W. M. Aguiar, J. P. Farias, (2009) “Effect of nonmetallic inclusion and banding on the success of the two-layer temper bead welding technique”. Materials and Design, 30, 1068-1074, 2009.
[8] H. Ryuichi and I. Hiroshige, (2005)”Effects of base material dilution on the corrosion resistance of the weld joint of super GAMMA system stainless steel”. Current Advances in Materials and Processes, 18, 604, 2005.
[9] P. Crook (1993)” The effects of dilution upon the corrosion and wear properties of cobalt-based weld overlays”. Corrosion Science, 35, 647-653, 1993.
[10] A. D. Nadezhdin and T. Davison, (2004) “Effects of weld dilution on digester weld overlay”. 11th International Symposium on Corrosion in the Pulp and Paper Industry, 2004.
[11] W. Callister, (2006)” Materials science and engineering an introduction”. John Wiley and Sons, 2006.
[12] C. C. Silva, V. H. C. Albuquerque, C. R. O. Moura, W. M. Aguiar, J. P. Farias (1994) “Evaluation of AISI 4140 steel repair without post-weld heat treatment”. Journal of Materials Engineering and Performance 21-23, 1994.
[13] P. V. Saiprasad, I. V. Surendra, K. L. Narayan and L. N. V. Narasimharao (2014) “Evaluation of Percentage of Dilution in Gas Metal ARC Welding “IJRMET Vol. 4, Issue spl - 1, No V 2013 - April 2014.
[14] Erick Alejandro González Olivaresa and Victor Manuel Vergara Díazb (2017) “Study of the hot-wire TIG process with AISI-316L filler material, analysing the effect of magnetic arc blow on the dilution of the weld bead” Welding international, 2017, pp 330–341.
[15] vikram singh (2013) an investigagtion for gas metal arc welding optimum parameters of mild steel AISI 1016 using taguchi method” International Journal of Engineering and Advanced Technology ISSN: 2249-8958, volume -2, issue-6, August 2013.
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  • APA Style

    Ozigagun Andrew, Biu Raphael. (2019). A Central Composite Design Approach to Minimize Percentage Dilution of TIG Weldments. Applied Engineering, 3(2), 148-153. https://doi.org/10.11648/j.ae.20190302.21

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    ACS Style

    Ozigagun Andrew; Biu Raphael. A Central Composite Design Approach to Minimize Percentage Dilution of TIG Weldments. Appl. Eng. 2019, 3(2), 148-153. doi: 10.11648/j.ae.20190302.21

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    AMA Style

    Ozigagun Andrew, Biu Raphael. A Central Composite Design Approach to Minimize Percentage Dilution of TIG Weldments. Appl Eng. 2019;3(2):148-153. doi: 10.11648/j.ae.20190302.21

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  • @article{10.11648/j.ae.20190302.21,
      author = {Ozigagun Andrew and Biu Raphael},
      title = {A Central Composite Design Approach to Minimize Percentage Dilution of TIG Weldments},
      journal = {Applied Engineering},
      volume = {3},
      number = {2},
      pages = {148-153},
      doi = {10.11648/j.ae.20190302.21},
      url = {https://doi.org/10.11648/j.ae.20190302.21},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ae.20190302.21},
      abstract = {The integrity of welded joints is dependent on the strength and load bearing capacity of the welded joint, of which this can be achieved by maximizing the process parameters that has a positive effect on the strength and minimizing those having negative effects on the weld joints. This study is carried out with a purpose of minimizing the percentage dilution considering current, voltage and gas flow rate as the input parameters on TIG mild steel weld using expert systems. The welding experiment was performed using the Central Composite Design matrix, thereafter percentage dilution responses was measured, recorded and modelled using the Response Surface Methodology (RSM). The result obtained shows that the quadratic model has adequate strength to explain the relationship between the process factors and the percentage dilution, with with a P-value < 0.05 and coefficient of determination (R2) value of 90% and a noise to signal ratio of 10.14 indicating the accuracy and reliability of the optimal solutions.},
     year = {2019}
    }
    

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    T1  - A Central Composite Design Approach to Minimize Percentage Dilution of TIG Weldments
    AU  - Ozigagun Andrew
    AU  - Biu Raphael
    Y1  - 2019/10/23
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    DO  - 10.11648/j.ae.20190302.21
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    JO  - Applied Engineering
    SP  - 148
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    UR  - https://doi.org/10.11648/j.ae.20190302.21
    AB  - The integrity of welded joints is dependent on the strength and load bearing capacity of the welded joint, of which this can be achieved by maximizing the process parameters that has a positive effect on the strength and minimizing those having negative effects on the weld joints. This study is carried out with a purpose of minimizing the percentage dilution considering current, voltage and gas flow rate as the input parameters on TIG mild steel weld using expert systems. The welding experiment was performed using the Central Composite Design matrix, thereafter percentage dilution responses was measured, recorded and modelled using the Response Surface Methodology (RSM). The result obtained shows that the quadratic model has adequate strength to explain the relationship between the process factors and the percentage dilution, with with a P-value < 0.05 and coefficient of determination (R2) value of 90% and a noise to signal ratio of 10.14 indicating the accuracy and reliability of the optimal solutions.
    VL  - 3
    IS  - 2
    ER  - 

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Author Information
  • Department of Production Engineering, University of Benin, Benin City, Nigeria

  • Department of Production Engineering, University of Benin, Benin City, Nigeria

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