Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
Engineering sectors such as aerospace, automotive, energy, and defence increasingly require materials that combine low density with reliable mechanical ...
Abstract: To enhance design flexibility for frequency selective surfaces (FSSs), a machine learning-based inverse topological design method (ITDM) incorporating non-uniform rational B-splines (NURBSs) ...
Abstract: This Hybrid additive manufacturing (HAM) equipment integrates additive manufacturing and conventional manufacturing processes to address increasing demands for multifunctional and flexible ...
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