Document Type : Research Paper
Department of Production Engineering, University of Benin, Benin City, Nigeria.
The service life of engineering structure is mostly affected by the quality and strength of the welded joints. Tensile tests are performed for several reasons. The results are used in selecting materials for engineering applications. Tensile properties are frequently included in material specifications to ensure quality. The tests are measured during development of new materials and processes, so that different materials and processes can be compared. The objective of this study is to predict and optimize the tensile strength of a butt joint weldment on mild steel plate using Response Surface Methodology (RSM). The RSM was applied to predict and optimize the maximum tensile strength of a butt joint weldment on an I-section mild steel plate using Tungsten Inert Gas (TIG) welding process. The mild steel plate was cut into dimension 60mm x 40mm x 10mm with a power hacksaw, grinded and cleaned before the welding process. The experimental matrix was made of twenty (20) runs, generated by the design expert 184.108.40.206 software adopting the central composite design. The response (tensile strength) was measured and then modelled using the RSM. The result obtained show that the current and voltage has a very strong influence on the tensile strength. Based on the findings, the maximum tensile strength of 450Mpa was attained at the welding voltage (V) of 24V, current of 170A and gas flow rate of 13lit/min respectively. This study will serve as a guide to welding operators on parameter settings selection.
- Sathish, R., Naveen, B., Nijanthan, P., Geethan, K. A. V., & Rao, V. S. (2012). Weldability and process parameter optimization of dissimilar pipe joints using GTAW. International journal of engineering research and applications, 2(3), 2525-2530.
- Kim, I. S., Son, J. S., Park, C. E., Kim, I. J., & Kim, H. H. (2005). An investigation into an intelligent system for predicting bead geometry in GMA welding process. Journal of materials processing technology, 159(1), 113-118.
- Mohandas, T., Reddy, G. M., & Naveed, M. (1999). A comparative evaluation of gas tungsten and shielded metal arc welds of a “ferritic” stainless steel. Journal of materials processing technology, 94(2-3), 133-140.
- Khourshid, A. M., & Sabry, I. (2016). Analysis of welded joints using friction stir welding, metal inert gas and tungsten inert gas. Engineering and technology in India, 7(1), 1-7.
- Ramachandran, R. (2015). Analysis and experimental investigations of weld characteristics for a TIG welding with SS316l. International journal of advances in engineering research (IJAER), VOL, (10), 2454-1796.
- Hooda, A., Dhingra, A., & Sharma, S. (2012). Optimization of MIG welding process parameters to predict maximum yield strength in AISI 1040. International journal of mechanical engineering and Robotics research, 1(3), 203-213.
- Armentani, E., Esposito, R., & Sepe, R. (2007). The effect of thermal properties and weld efficiency on residual stresses in welding. Journal of achievements in materials and manufacturing engineering, 20(1-2), 319-322.
- Lakshminarayanan, A. K., Shanmugam, K., & Balasubramanian, V. (2009). Effect of autogenous arc welding processes on tensile and impact properties of ferritic stainless steel joints. Journal of iron and steel research, international, 16(1), 62-68.
- Arunkumar, A., & Ravichandran, S. (2017). Theoretical and experimental analysis of t-joint in TIG welding process. International journal of scientific engineering and applied science, 2(6), 237-246.
- Sada, S. O. (2018). Optimization of weld strength properties of tungsten inert gas mild steel welds using the response surface methodology. Nigerian journal of technology, 37(2), 407-415.
- Benyounis, K. Y., & Olabi, A. G. (2008). Optimization of different welding processes using statistical and numerical approaches–A reference guide. Advances in engineering software, 39(6), 483-496.
- Etin-Osa, C. E., & Ebhota, L. M. (2021). Prediction of optimum weld tensile strength using response surface methodology. European journal of engineering and technology research, 6(3), 146-149.
- Imtiaz, A., Tariq, A., Janjua, A. B., Sarfraz, F., & Khawaja, A. U. H. (2021). Parametric optimization of butt welded polycarbonate using response surface methodology. Mehran university research journal of engineering & technology, 40(1), 38-52.
- Jafari, H., & Hajikhani, A. (2016). Multi objective decision making for impregnability of needle mat using design of experiment technique and respond surface methodology. Journal of applied research on industrial engineering, 3(1 (4)), 30-38.
- Prastyo, Y., Adhi Yatma, W., & Hernadewita, H. (2018). Reduction bottle cost of Milkuat LAB 70 ml using optimal parameter setting with Taguchi method. Journal of applied research on industrial engineering, 5(3), 223-238.
- Onyekwere, O. S., Oladeinde, M. H., & Uyanga, K. A. (2020). Optimization of parameter settings to achieve improved tensile and impact strength of bamboo fibre composites. Journal of applied research on industrial engineering, 7(4), 344-364.