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@article{182814,
        author = {Subash Kumar Gautam and Dibya Tripathi and Kirti Srivastava and Sunil Prabhakar},
        title = {Enhancing Structural Integrity: A Parametric Study on Metal Additive Manufacturing for Intricate Designs},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {3550-3556},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182814},
        abstract = {Metal 3D printing, achieving optimal print quality requires precise tuning of characteristics. This study explores advanced optimization techniques to enhance the mechanical properties, dimensional accuracy, and surface finish of metal 3D-printed components. By leveraging machine learning algorithms, finite element analysis, and experimental validation, we identify parameter configurations that minimize defects such as porosity, residual stress, and warping. A comparative assessment of traditional trial-and-error approaches versus data-driven optimization techniques demonstrates significant improvements in print performance. The findings of this research provide a comprehensive framework for optimizing metal 3D printing parameters, ensuring reliability in fabricating complex geometries for aerospace, biomedical, and industrial applications.},
        keywords = {Metal 3D printing, material efficiency, aerospace, industrial applications,complex geometries},
        month = {July},
        }