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    Integrating Machine Learning to Investigate the Effect of Process Parameters on the Toughness of Additively Manufacturing 316L Stainless Steel 

    Source: Journal of Engineering Materials and Technology:;2026:;volume( 148 ):;issue:002
    Author(s): Bhuiyan, Md Zisanul Haque; Khanafer, Khalil; Kokash, Hussein
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study investigates the impact toughness of additively manufactured 316L stainless steel using the bound metal deposition (BMD) technique and explores the influence of process parameters including print ...
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    Fatigue and Tensile Behavior of 3D-Printed Polylactic Acid Matte: Effects of Infill Pattern and Density 

    Source: Journal of Engineering Materials and Technology:;2026:;volume( 148 ):;issue:004
    Author(s): Hasan, Jahid; Khanafer, Khalil; Bhuiyan, Md Zisanul Haque; Aboelkassem, Yasser
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study systematically investigates the static tensile and cyclic tension-tension fatigue behavior of 3D-printed polylactic acid (PLA) to understand the effects of key printing parameters using fused deposition ...
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