Predictive Model Development For Welding Mini-robot

  Oladebeye D. H,  Adejuyigbe S. B.,  Kareem B

In this analysis, MATLAB software and Response Surface Methodology (RSM) were used to optimize the welding parameters, namely voltage, current, material thickness and arc length. A predictive model was subsequently obtained using a modified heat input function to help assess and then predict the welding time and welding speed of the established welding robot in relation to the welding parameters adopted. Results have shown that, at welding time (4.7-32.94s), the built welding robot can weld mild steel plates linearly along the length of the guide 470 mm on X-axis, 350 mm on Y-axis and 110 mm on Z-axis. Welding speed range for 0.5 mm thick plate to 1.0 mm mild steel plate is 4.409-5.32 mms-1 while electric arc (manual) welding speed range is 2.330-5.500 mms-1. The welding time ranges from 4.7s to 32.94s for 0.5 mm thick plate to 1.0 mm mild steel plate welded with modeled built welding robot while the welding time ranges from 15s to 45s for 0.5 mm thick plate to 1.0 mm mild steel plate welded with electric arc welding (handbook). The results showed that the predictive model built for welding mini-robot would reduce the cost of production and increase the quality as well as the efficiency of welding during welding process compared to manual electric arc welding. For the same steel plate specimen, the weld length in the established robot welding (Automated) is obviously greater than in the electric arc welding (Manual). Welding speed increases from all signs, on average as the thickness of the steel plate increases. The welding speeds of the built welding robot, however, are much greater than those of the electric arc welding device. It is a benefit which should be of interest to the Nigerian manufacturing industry in the areas of precision machining, mass production of products, reduction of machining time which production costs, improved efficiency, income maximization.

Keywords- Predictive, model, development, welding, mini-robot

Unique Identification Number - IJEDR2002049
Page Number(s) - 275-288
Pubished in - Volume 8 | Issue 2 | April 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Oladebeye D. H,  Adejuyigbe S. B.,  Kareem B,   "Predictive Model Development For Welding Mini-robot", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 2, pp.275-288, April 2020, Available at :http://www.ijedr.org/papers/IJEDR2002049.pdf