TY  - JOUR
A1  - Reisgen, Uwe
A1  - Schleser, Markus
A1  - Mokrov, Oleg
A1  - Ahmed, Essam
T1  - Optimization of laser welding of DP/TRIP steel sheets using statistical approach
JF  - Optics and laser technology
N2  - Generally, the quality of a weld joint is directly influenced by the welding input parameter settings. Selection of proper process parameters is important to obtain the desired weld bead profile and quality. In this research work, numerical and graphical optimization techniques of the CO2 laser beam welding of dual phase (DP600)/transformation induced plasticity (TRIP700) steel sheets were carried out using response surface methodology (RSM) based on Box–Behnken design. The procedure was established to improve the weld quality, increase the productivity and minimize the total operation cost by considering the welding parameters range of laser power (2–2.2 kW), welding speed (40–50 mm/s) and focus position (−1 to 0 mm). It was found that, RSM can be considered as a powerful tool in experimental welding optimization, even when the experimenter does not have a model for the process. Strong, efficient and low cost weld joints could be achieved using the optimum welding conditions.
Y1  - 2012
U6  - http://dx.doi.org/10.1016/j.optlastec.2011.06.028
SN  - 1879-2545 (E-Journal); 0030-3992 (Print); 0308-4280 (Print)
VL  - 44
IS  - 1
SP  - 255
EP  - 262
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Reisgen, Uwe
A1  - Schleser, Markus
A1  - Mokrov, Oleg
A1  - Ahmed, Essam
T1  - Statistical modeling of laser welding of DP/TRIP steel sheets
JF  - Optics and laser technology
N2  - In this research work, a statistical analysis of the CO2 laser beam welding of dual phase (DP600)/transformation induced plasticity (TRIP700) steel sheets was done using response surface methodology. The analysis considered the effect of laser power (2–2.2 kW), welding speed (40–50 mm/s) and focus position (−1 to 0 mm) on the heat input, the weld bead geometry, uniaxial tensile strength, formability limited dome height and welding operation cost. The experimental design was based on Box–Behnken design using linear and quadratic polynomial equations for predicting the mathematical models. The results indicate that the proposed models predict the responses adequately within the limits of welding parameters being used and the welding speed is the most significant parameter during the welding process.
Y1  - 2012
U6  - http://dx.doi.org/10.1016/j.optlastec.2011.05.025
SN  - 1879-2545 (E-Journal); 0030-3992 (Print); 0308-4280 (Print)
VL  - 44
IS  - 1
SP  - 92
EP  - 101
PB  - Elsevier
CY  - Amsterdam
ER  -