Szczegóły Szczegóły PDF BIBTEX RIS Tytuł artykułu Comparison of Machine Learning Performance for the Prediction of Melting Efficiency and Bead Geometry in wire Arc Additive Manufacturing Process Tytuł czasopisma Archives of Metallurgy and Materials Rocznik 2025 Wolumin vol. 70 Numer No 1 Autorzy Kumar, A. ; Das, D. ; Raj, N.D. ; Bag, S. ; Srivastava, V.C. Afiliacje Kumar, A. : Indian Institute of Technology Guwahati, Department of Mechanical Engineering, India ; Das, D. : Indian Institute of Technology Guwahati, Department of Mechanical Engineering, India ; Raj, N.D. : Indian Institute of Technology Guwahati, Department of Mechanical Engineering, India ; Bag, S. : Indian Institute of Technology Guwahati, Department of Mechanical Engineering, India ; Srivastava, V.C. : Materials Engineering Division, CSIR-National Metallurgical Laboratory, Jamshedpur, India Słowa kluczowe WAAM ; bead geometry ; melting efficiency ; machine learning regression models ; hyperparameter tuning Wydział PAN Nauki Techniczne Zakres 29-38 Wydawca Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences Data 20.03.2025 Typ Article Identyfikator DOI: 10.24425/amm.2025.152503 ; e-ISSN 2300-1909 <div class="test"></div>