Machine learning assisted investigation of defect influence on the mechanical properties of additively manufactured architected materials

• المؤلفون الرئيسيون: Hu, Erhai, Seetoh, Ian, Lai, Chang Quan
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Materials; Engineering::Mechanical engineering; Additive Manufacturing; Architected Materials
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156164

Additive manufacturing techniques can introduce defects that worsen the mechanical properties of 3D printed parts. Current techniques for quantifying the detrimental effects of these defects can only provide detailed analysis for a small number of geometries. Here, we investigate the effect of each...