This research work addressed the mechanical and microstructural properties of welded joints. The results show the minimum average hardness values as 133.83, 102.13, 103.42, 95.15, 96.78 and 117.50 for various mini-robot welded mild steel plates of thickness 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm and 1.0 mm, while the maximum average hardness values were as 145.67, 119.08, 113.28, 106.58, 113.42 and 137.75 respectively. Results of the research have shown that the robot welding samples produced are high in hardness. This is responsible for low tensile stress values that may also mean low mini-robot welded sample extension. The robot welding samples developed gave low tensile strain values and this was expected because the robot welding samples developed had high hardness, low extension and low tensile stress. The microstructural study shows that the welded mini-robot samples had more fine structure than coarse (which is more pearlite than ferrite). The built welding robot has also provided a wide range of welding speeds from experimentation, significantly less welding time, wide weld length. The built welding robot has a range of welding time (4.7-32.94s), welding speed starting at 4.41mm / s over the same range of 0.5-1.0 mm thicknesses for the mild steel plate and weld length. The thicker the mild steel plate, the lower the welding time and the higher the welding speed. This is valid when the built welding robot was used. The built welding robot worked very well and the results of Microstructural Analyses presented quality welds.
Published in | American Journal of Mechanical and Materials Engineering (Volume 4, Issue 2) |
DOI | 10.11648/j.ajmme.20200402.12 |
Page(s) | 26-36 |
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 |
Metallurgy, Robot Arc Welding, Microstructure, Tensile Strength, Brinell Hardness
[1] | Charde, N. (2012a). Characterization of spot weld growth on dissimilar joints with different thicknesses. Journal of Mechanical Engineering and Sciences, 2, 172-180. |
[2] | Charde, N. (2012b). Effects of electrode deformation of resistance spot welding on 304 austenitic stainless steel weld geometry. Journal of Mechanical Engineering and Sciences, 3, 261-270. |
[3] | Charde, N. (2013). Microstructure and fatigue properties of dissimilar spot welds joints of aisi 304 and aisi 1008. International Journal of Automotive and Mechanical Engineering, 7, 882-899. |
[4] | Kukiełka, L. (1989). Designating the field areas for the contact of a rotary burnishing element with the rough surface of a part, providing a high-quality product. Journal of Mechanical Working Technology, 19, 319-356. |
[5] | Shah, L. H., Akhtar, Z., & Ishak, M. (2013). Investigation of aluminum-stainless steel dissimilar weld quality using different filler metals. International Journal of Automotive and Mechanical Engineering, 8, 1121-1131. |
[6] | Lopez-Juarez, I., Rios-Cabrera, R., & Davila-Rios, I. (2010). Implementation of an intelligent robotized gmaw welding cell, part 2: Intuitive visual programming tool for trajectory learning. |
[7] | Rafiqul, M. I., Ishak, M., & Rahman, M. M. (2012). Effects of heat input on mechanical properties of metal inert gas welded 1.6 mm thick galvanized steel sheet. IOP Conference Series:Materials Science and Engineering, 36 (1). |
[8] | Rahman, M. M., Arrifin, A. K., Nor, M. J. M., & Abdullah, S. (2008). Fatigue analysis of spot-welded joint for automative structures. SDHM Structural Durability and Health Monitoring, 4 (3), 173-180. |
[9] | Rahman, M. M., Bakar, R. A., Noor, M. M., Rejab, M. R. M., & Sani, M. S. M. (2008). Fatigue life prediction of spot-welded structures: A finite element analysis approach European Journal of Scientific Research (Vol. 22, pp. 444-456). |
[10] | Rahman, M. M., Rosli, A. B., Noor, M. M., Sani, M. S. M., & Julie, J. M. (2009). Effects of spot diameter and sheets thickness on fatigue life of spot welded structure based on fea approach. American Journal of Applied Sciences, 6 (1), 137-142. |
[11] | Yang, W. H., & Tarng, Y. S. (1989). Design optimization of cutting parameters for turning operations based on the taguchi method. Journal Material Processing Technology, 84, 122–129. |
[12] | Talabi, S. I., Owolabi, O. B., Adebisi, J. A., Yahaya, T. (2014). Effect of welding variables on mechanical properties of low carbon steel welded joint. Advances in Production Engineering & Management. 9 (4): 181-186. |
[13] | Didit Sumardiyanto and Sri Endah Susilowati (2019). Effect of Welding Parameters on Mechanical Properties of Low Carbon Steel API 5L Shielded Metal Arc Welds, American Journal of Materials Science, 9 (1): 15-21 |
[14] | Manning, R., Ewing, J. (2009). RACQ Vehicles Technologies. (2009). Temperatures in cars survey. RACQ Vehicles Technologies, 1-21. |
[15] | Greyjevo, O. G. T. V. Z., & Metodo, A. I. T. (2009). Optimization of weld bead geometry in tig welding process using grey relation analysis and taguchi method. Materiali in tehnologije, 43 (3), 143-149. |
[16] | Oladebeye D. H, 2Adejuyigbe S. B., 3Kareem B (2020). Predictive Model Development for Welding Mini-robot, International Journal of Engineering Development and Research, 8 (2): 275-288. |
[17] | Oladebeye D. H., 2Adejuyigbe S. B., 3Ayodeji S. P (2020). Comparative Analysis of Mechanical Properties of Mild Steel Plates Welded with the Developed Welding Robot and Manual Electric Arc Welding, International Journal of Engineering Development and Research, 8 (2): 289-302. |
[18] | Nuraini1, A. A., Zaina, A. S. and Azmah Hanim, M. A. (2014). The effects of welding parameters on butt joints using robotic gas metal arc welding, Journal of Mechanical Engineering and Sciences (JMES), Vol. 6, pp. 988-994. |
[19] | Sumardiyanto, D., Susilowati, S. E., & Cahyo, A. (2018). Effect of Cutting Parameter on Surface Roughness Carbon Steel S45C. Journal of Mechanical Engineering and Automation, 8 (1), 1-6. |
[20] | Maksuti, R. (2016). Impact of the Acicular Ferrite on the Charpy V-Notch Toughness of Submerged Arc Weld Metal Deposits. International Journal of Scientific & Engineering Research, 7 (8): 1149-1155. |
APA Style
Oladebeye Dayo Hephzibah, Adejuyigbe Samuel Babatope, Kareem Biliyaminu. (2020). Metallurgical Analyses of Welding Using a Developed Mini-Robot. American Journal of Mechanical and Materials Engineering, 4(2), 26-36. https://doi.org/10.11648/j.ajmme.20200402.12
ACS Style
Oladebeye Dayo Hephzibah; Adejuyigbe Samuel Babatope; Kareem Biliyaminu. Metallurgical Analyses of Welding Using a Developed Mini-Robot. Am. J. Mech. Mater. Eng. 2020, 4(2), 26-36. doi: 10.11648/j.ajmme.20200402.12
AMA Style
Oladebeye Dayo Hephzibah, Adejuyigbe Samuel Babatope, Kareem Biliyaminu. Metallurgical Analyses of Welding Using a Developed Mini-Robot. Am J Mech Mater Eng. 2020;4(2):26-36. doi: 10.11648/j.ajmme.20200402.12
@article{10.11648/j.ajmme.20200402.12, author = {Oladebeye Dayo Hephzibah and Adejuyigbe Samuel Babatope and Kareem Biliyaminu}, title = {Metallurgical Analyses of Welding Using a Developed Mini-Robot}, journal = {American Journal of Mechanical and Materials Engineering}, volume = {4}, number = {2}, pages = {26-36}, doi = {10.11648/j.ajmme.20200402.12}, url = {https://doi.org/10.11648/j.ajmme.20200402.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmme.20200402.12}, abstract = {This research work addressed the mechanical and microstructural properties of welded joints. The results show the minimum average hardness values as 133.83, 102.13, 103.42, 95.15, 96.78 and 117.50 for various mini-robot welded mild steel plates of thickness 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm and 1.0 mm, while the maximum average hardness values were as 145.67, 119.08, 113.28, 106.58, 113.42 and 137.75 respectively. Results of the research have shown that the robot welding samples produced are high in hardness. This is responsible for low tensile stress values that may also mean low mini-robot welded sample extension. The robot welding samples developed gave low tensile strain values and this was expected because the robot welding samples developed had high hardness, low extension and low tensile stress. The microstructural study shows that the welded mini-robot samples had more fine structure than coarse (which is more pearlite than ferrite). The built welding robot has also provided a wide range of welding speeds from experimentation, significantly less welding time, wide weld length. The built welding robot has a range of welding time (4.7-32.94s), welding speed starting at 4.41mm / s over the same range of 0.5-1.0 mm thicknesses for the mild steel plate and weld length. The thicker the mild steel plate, the lower the welding time and the higher the welding speed. This is valid when the built welding robot was used. The built welding robot worked very well and the results of Microstructural Analyses presented quality welds.}, year = {2020} }
TY - JOUR T1 - Metallurgical Analyses of Welding Using a Developed Mini-Robot AU - Oladebeye Dayo Hephzibah AU - Adejuyigbe Samuel Babatope AU - Kareem Biliyaminu Y1 - 2020/06/15 PY - 2020 N1 - https://doi.org/10.11648/j.ajmme.20200402.12 DO - 10.11648/j.ajmme.20200402.12 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 - 26 EP - 36 PB - Science Publishing Group SN - 2639-9652 UR - https://doi.org/10.11648/j.ajmme.20200402.12 AB - This research work addressed the mechanical and microstructural properties of welded joints. The results show the minimum average hardness values as 133.83, 102.13, 103.42, 95.15, 96.78 and 117.50 for various mini-robot welded mild steel plates of thickness 0.5 mm, 0.6 mm, 0.7 mm, 0.8 mm, 0.9 mm and 1.0 mm, while the maximum average hardness values were as 145.67, 119.08, 113.28, 106.58, 113.42 and 137.75 respectively. Results of the research have shown that the robot welding samples produced are high in hardness. This is responsible for low tensile stress values that may also mean low mini-robot welded sample extension. The robot welding samples developed gave low tensile strain values and this was expected because the robot welding samples developed had high hardness, low extension and low tensile stress. The microstructural study shows that the welded mini-robot samples had more fine structure than coarse (which is more pearlite than ferrite). The built welding robot has also provided a wide range of welding speeds from experimentation, significantly less welding time, wide weld length. The built welding robot has a range of welding time (4.7-32.94s), welding speed starting at 4.41mm / s over the same range of 0.5-1.0 mm thicknesses for the mild steel plate and weld length. The thicker the mild steel plate, the lower the welding time and the higher the welding speed. This is valid when the built welding robot was used. The built welding robot worked very well and the results of Microstructural Analyses presented quality welds. VL - 4 IS - 2 ER -