Optimization of process parameters of galvanizing steel in resistance seam welding using RSM

UK Vates, BP Sharma, NJ Kanu, NA Daniel… - … in Mechanical and …, 2020 - Springer
UK Vates, BP Sharma, NJ Kanu, NA Daniel, S Subramanian, P Sharma
Proceedings of International Conference in Mechanical and Energy Technology …, 2020Springer
In present research, response surface methodology (RSM) is used to investigate the effects
of control parameters on critical responses in resistance seam welding (RSW) process. Four
critical controllable input variables, weld pressure, weld current, overlapping and material
thickness were selected to analyse the effects on the responses weld time (T w), surface
roughness (R a) and hardness (H) in RSW. Central composite design (CCD) array is
selected to conduct the experiments and to estimate the model adequacy test in RSW …
Abstract
In present research, response surface methodology (RSM) is used to investigate the effects of control parameters on critical responses in resistance seam welding (RSW) process. Four critical controllable input variables, weld pressure, weld current, overlapping and material thickness were selected to analyse the effects on the responses weld time (Tw), surface roughness (Ra) and hardness (H) in RSW. Central composite design (CCD) array is selected to conduct the experiments and to estimate the model adequacy test in RSW. Correlation coefficient (R2) values were observed for surface roughness, weld time and hardness, respectively. Responses were optimized using critical variables weld pressure, weld current, material thickness and overlapping, respectively, with influence of RSM. The optimal process parameters are introduced and tested in industrial environment.
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