Multi-Objective Optimization of Setting of Resistance Spot Welding Machine using Taguchi's Quality Loss Function

2008 ◽  
Vol 41 (2) ◽  
pp. 48
Author(s):  
A. C. Waghmare ◽  
P. M. Padole ◽  
R. D. Askhedkar
Keyword(s):  
Loss Function ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Quality Loss ◽  
Multi Objective Optimization ◽  
Quality Loss Function ◽  
Multi Objective ◽  
Resistance Spot ◽  
Welding Machine

scholarly journals MULTI-OBJECTIVE OPTIMIZATION OF THE RESISTANCE SPOT-WELDING PROCESS PARAMETERS FOR THE WELDING OF DUAL-PHASE STEEL DP500

2021 ◽  
Vol 55 (2) ◽  
pp. 201-206
Author(s):  
Aleksija Djuric ◽  
Dragan Milčić ◽  
Damjan Klobčar ◽  
Biljana Marković
Keyword(s):  
Automotive Industry ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Dual Phase Steel ◽  
Mechanical Characteristics ◽  
Welding Process ◽  
Dual Phase ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Resistance Spot

Resistance spot welding (RSW) is still the most used form of welding in the automotive industry, primarily for welding steel. One of the advanced steels used in the automotive industry is dual-phase steel, so it is important to properly select the welding parameter for these steels. Therefore, this paper presents multi-objective optimization in the RSW welding process of DP 500 steel. The paper considers three different mechanical characteristics i.e., the failure load (F), failure displacement (l) and weld nugget diameter (D), as all these welding characteristics play significant roles in evaluating the quality of spot welding. The results show that the welding current is the most influential parameter with respect to the mechanical characteristics. The effect of welding time on the weld quality is the least significant. The optimal parameters for welding DP 500 steel obtained in this paper are weld current 8 kA, electrode force 4.91 kN and weld time 400 ms.

Advanced Resistance Spot Welding Technologies: New Machine, Adaptive Control and FEM Simulation

2008 ◽  
Vol 580-582 ◽  
pp. 367-370 ◽  
Author(s):  
Yong Joon Cho ◽  
In Sung Chang ◽  
Heui Bom Lee
Keyword(s):  
Adaptive Control ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Advanced Technology ◽  
Constant Current ◽  
Automotive Application ◽  
Application Process ◽  
Current Regulation ◽  
Resistance Spot ◽  
Welding Machine

While resistance spot welding (RSW) has been the most successful sheet metal joining process in automotive industry, there are still certain quality and reliability issues due to the control system and its application process. Some weld spots have hard-to-reach areas and new materials make the process more complicated resulting in new challenges for quality welds. Recently, a new welding machine called one-sided RSW was introduced to make a weld of hard-to-reach areas in automotive application. Intelligent current regulation algorithm of welding machine timer helps to control welding current and time with more stablility than conventional constant current regulation. Newly developed RSW simulation tool is another advanced technology to improve weld quality and production stability. In this research, advanced RSW technologies, including one-sided RSW, intelligent adaptive control, and simulation of RSW process, are discussed with various automotive applications.

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