Machine learning optimization in micro-hammer forging lam #worldresearchawards



Description

This study explores the prediction of mechanical properties in micro-hammer forging assisted laser additive manufacturing using a hybrid whale optimization algorithm–support vector regression (woa-svr) model. The approach enhances prediction accuracy for key mechanical parameters by optimizing the regression model with evolutionary algorithms. The framework improves understanding of process–property relationships in hybrid additive manufacturing, enabling better control of material performance, structural integrity, and manufacturing efficiency. 

#additivemanufacturing #lasermanufacturing #hybridmanufacturing #machinelearning #woa #svr #predictivemodeling #mechanicalproperties #materialsengineering #manufacturingtechnology #smartmanufacturing #datadrivenresearch #advancedmanufacturing #materialsinnovation #processoptimization #industrialai #engineeringresearch #manufacturingai #materialsscience #digitalmanufacturing 

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