SAM: Recent submissions
Now showing items 1166-1172 of 6393
-
Article dans une revue avec comité de lecture(Springer, 2021)This study considers quality aspects in the process planning of a reconfigurable manufacturing system. The goal is to analyze how the variation in quality impacts the process planning, i.e., cost-based design and modular ...
-
Article dans une revue avec comité de lecture(Elsevier BV, 2022-07)To investigate the impact of chain scission on the tensile properties of elastomers, a polyester-based polyurethane was aged in seawater at several temperatures ranging from 40 °C to 90 °C. Before the hydrolysis process, ...
-
Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2022-04)Additive manufacturing is an appealing solution to produce geometrically complex parts, difficult to manufacture using traditional technologies. The extreme process conditions, in particular the high temperature, complex ...
-
Article dans une revue avec comité de lecture(Wiley, 2022)Extending the fused filament fabrication process to highly filled thermoplastics in metallic powder used in metal injection molding is a promising method to produce small series. However, the lack of adhesion between ...
-
Human Head and Neck Kinematics during Autonomous and Human Braking in Three Initial Head Positions Article dans une revue avec comité de lecture(SAE International, 2022-03-28)Whiplash injuries resulting from vehicle collisions are still a significant socio-economic issue across the world. Years of research has resulted in the development of injury criteria, restraint systems and a deeper ...
-
Article dans une revue avec comité de lecture(Frontiers Media SA, 2022-01)This article deals with the long-term behaviour of radiation cured polymers. Among the wide variety of possible ageing modes, the attention is focused on two key processes for users of radio-cured polymers: humid ageing ...
-
Article dans une revue avec comité de lecture(Elsevier BV, 2022-06-21)This paper investigates the potential of Deep Learning (DL) for data-driven topology optimization (TO). Unlike the rest of the literature that mainly applies DL to TO from a mechanical perspective, we developed an original ...