Journal of Welding Science

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Talebipour M, Shoja Razavi R, Mozafarinia R, Barekat M, Khorram A. Optimization of process map and prediction of single-pass properties of Inconel 738LC by selective laser melting method with regression and genetic algorithm. JWSTI 2026; 12 (1) :21-33
URL: http://jwsti.iut.ac.ir/article-1-518-en.html

Selective laser melting (SLM) has been considered as a method for manufacturing large and complex industrial parts. Considering that structural defects are generally caused by process parameters, the optimal evaluation of parameter selection to minimize localized defects has been of interest. Therefore, a model was presented to predict the optimal single-pass geometric characteristics based on the main process parameters, namely laser power and scanning speed, to prevent defects in single-pass Inconel 738LC on Inconel 738 casting substrate. An optimal process map was obtained based on the use of linear regression method combined with genetic optimization algorithm with optimal combination parameters (PαVβ). Finally, based on the geometric characteristics of single-passes, an optimal region was identified on the process map. At a power of 325 W and a laser scanning speed of 800 mm/s, due to the decrease in the G/R ratio, the microstructure from the junction to the substrate to the top of the single pass has changed from columnar to coaxial dendritic.