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Patient-specific models have increasingly gained significance in medical and research domains. In the context of hemodynamic studies, computational fluid dynamics emerges as a highly innovative and promising approach. We propose to augment these computational studies with cell-based experiments in individualized artery geometries using personalized scaffolds and vascular cell experiments. Previous research has demonstrated that the development of Sickle Cell Disease (SCD)-Related Vasculopathy is dependent on personal geometries and flow characteristics of the carotid artery. This fact leaves conventional animal experiments unsuitable for gaining patient-specific insights into cellular signaling, as they cannot replicate the personalized geometry. These personalized dynamics of cellular signaling may further impact disease progression, yet remains unclear. This paper presents a six-step methodology for creating personalized large artery scaffolds, focusing on high-precision models that yield biologically interpretable patient-specific results. The methodology outlines the creation of personalized large artery models via Additive Manufacturing suitably for supporting cell culture and other cellular experiments. Additionally, it discusses how different Computer-Aided-Design (CAD) construction modes can be used to obtain high-precision personalized models, while simplifying model reconfigurations and facilitating adjustments to general designs such as system connections to bioreactors, fluidic systems and visualization tools. A proposal for quality control measures to ensure geometric congruence for biological relevance of the results is added. This innovative, interdisciplinary approach appears promising for gaining patient-specific insights into pathophysiology, highlighting the importance of personalized medicine for understanding complex diseases.

In this research, we investigated the role of multisensorial manipulation on creativity, and the influence of inspirational objects on creative outcomes. Object manipulation may support embodied cognition during a generative creative phase (emergence of motor, spatial, emotional ideas, etc.) then exploratory phase (creative fixation, development of a functional creation, etc.). Our protocol involved 136 engineering students divided into 34 groups which were provided with inspirational cubes illustrating manufacturing inventive principles or basic volumes from the Creative Mental Synthesis Task. They could manipulate these objects either in a visuo-haptic condition, or in a visuo-imaginative condition. Our results highlighted a main effect of manipulation, showing that visual-haptic condition led to higher creativity than visual-imaginative condition. We also observed several effects in favor of inspirational cubes with regard to basic volumes: significantly higher creativity, more subjective and inter-subjective facilitation behaviors, more cognitive and emotional operations. Participants also showed at an individual level a better mobilization of the multisensorial senses. Creative thinking may be stimulated when an active manipulation phase is set up before the creative production. This could contribute to improving practice for engineers, particularly for using additive manufacturing and/or during their training at school.

The combination of LiDAR with other technologies for numerisation is increasingly applied in the field of building, design, and geoscience, as it often brings time and cost advantages in 3D data survey processes. In this paper, the reconstruction of 3D point cloud datasets is studied, through an experimental protocol evaluation of new LiDAR sensors on smartphones. To evaluate and analyse the 3D point cloud datasets, different experimental conditions are considered depending on the acquisition mode and the type of object or surface being scanned. The conditions allowing us to obtain the most accurate data are identified and used to propose which acquisition protocol to use. This protocol seems to be the most adapted when using these LiDAR sensors to digitise complex interior buildings such as railway stations. This paper aims to propose: (i) a methodology to suggest the adaptation of an experimental protocol based on factors (distance, luminosity, surface, time, and incidence) to assess the precision and accuracy of the smartphone LiDAR sensor in a controlled environment; (ii) a comparison, both qualitative and quantitative, of smartphone LiDAR data with other traditional 3D scanner alternatives (Faro X130, VLX, and Vz400i) while considering three representative building interior environments; and (iii) a discussion of the results obtained in a controlled and a field environment, making it possible to propose recommendations for the use of the LiDAR smartphone at the end of the numerisation of the interior space of a building.

Additive Manufacturing (AM), a constantly evolving field, shows an enormous potential to reduce the environmental impact of new products and, at the same time, it remains an essential tool for prototypes’ manufacturing. Thus, focusing on a sustainable Additive Manufacturing of prototypes and it is resulting reduction of resources consumption, during the early design stages, can also lead to improve the final impact of a new product. This case study analyses the influence of different parameters configurations during the prototypes’ manufacturing stage, which has the largest influence on the environmental impact. This paper aims to propose strategies to reduce the consumption of the impacting flows of model and support material as well as electrical energy consumption on four AM machines with their associated support removing technique. In addition, the use of topology optimisation as a design parameter to decrease these flows is analysed.

Additive manufacturing offers many advantages, especially in terms of creativity and design freedom. However, this emerging technology is disrupting the way design is carried out and creativity is often limited by the cognitive barriers installed through years of traditional manufacturing processes. Likewise, as this manufacturing process is relatively recent and quite unknown to designers, its specificities are not always considered during the design phase, which leads to manufactured parts happening to differ from CAD models in terms of sizing or surface quality. Consequently, microwave components nowadays manufactured layer-by-layer do not exhibit operational electromagnetic performances. In this way, it is necessary to guide designers throughout the development of a product by drawing their attention to the different steps they must consider in order to design an additive manufactured optimised part.

Additive Manufacturing (AM) is a major challenge for the deployment of Industry 4.0 in companies. Thus, it becomes essential to control the potential contributions of this innovative process from the early stages of design. In this paper, previous Design and Creativity For/With/Through AM approaches are first reviewed comprehensively and classified into distinct categories according to their main purpose and application. Then, they are integrated into a modular framework as part of a global 5-step design approach to promote AM in the whole design process: the Design By Additive Manufacturing (DBAM) methodology. A validation of the method is then proposed on an industrial case study from the aeronautics and defence sector, thereby fostering the complete exploitation of AM potentials and the development of AM-conformal designs.