A Thermal Analysis of LASER Beam Welding Using Statistical Approaches

Implementing input parameters that match the experimental weld shape is challenging in LASER beam welding (LBW) simulation because computed heat and spot for temperature acquisition strongly affect outcomes. Therefore, this study focuses on investigating autogenous LBW of AISI 1020 using a three-dimensional transfer model assumes modified Gaussian flux distribution depending power (Qw), radius (R), penetration (hp). The influence such variables simulated bead was assessed through analysis variance (ANOVA). ANOVA returns reliable results as long data normally distributed. exerts most prominent influence. Taguchi’s design defined studied reducing about 65% simulations compared to full factorial design. optimum values outcomes lab-controlled experiments were 2400 W (80% efficiency), 0.50 mm radius, 1.64 penetration. Moreover, errors regarding thermocouples positioning corrected linear interpolation. A parallel computing algorithm obtain field reduces computational costs may be applied real-world scenarios determine achieve expected joint quality. proposed methodology could reduce required time optimize process, saving development costs.