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The paper deals with research activities to develop optimization workflows implying computational fluid dynamics (CFD) modelling. The purpose of this paper is to present an industrial and fully-automated optimal design tool, able to handle objectives, constraints, multi-parameters and multi-points optimization on a given CATIA CAD. The work is realized on Rapid And CostEffective Rotorcraft compound rotorcraft in the framework of the Fast RotorCraft Innovative Aircraft Demonstrator Platform (IADP) within the Clean Sky 2 programme.

The proposed solution relies on an automated CAD-CFD workflow called through the optimization process based on surrogate-based optimization (SBO) techniques. The SBO workflow has been specifically developed.

The methodology is validated on a simple configuration (bended pipe with two parameters). Then, the process is applied on a full compound rotorcraft to minimize the flow distortion at the engine entry. The design of the experiment and the optimization loop act on seven design parameters of the air inlet and for each individual the evaluation is performed on two operation points, namely, cruise flight and hover case. Finally, the best design is analyzed and aerodynamic performances are compared with the initial design.

The adding value of the developed process is to deal with geometric integration conflicts addressed through a specific CAD module and the implementation of a penalty function method to manage the unsuccessful evaluation of any individual.

Society’s relations to animals pose possible blind spots in sociological theory that may be revealed and illuminated by studying systems of human‐animal interaction. By investigating whether and how animals enter into key processes that shape self and society we may determine the ways in which animals might be included in the core subject matter of sociology. An earlier discussion of the role of animals in sociology initiated by Weber is reviewed. Issues that debate raised about the extent of linguistically‐mediated human‐animal intersubjectivity are updated. It is in principle difficult to rule out animal languages, and some animals have acquired human language. But sociology may follow a more fecund empirical route by examining successful human‐animal performances produced by enduring interspecies relationships. Following this route, this paper specifically argues that the human self should be seen to take root in the available mixed species community. To show this, the work of G.H. Mead is revisited and corrected in light of recent work on early human development, and conceptual analyses of language, the body, and the self. The formation of the self is not dependent on only linguistic exchanges; a nonverbal nonhuman other can contribute to the self‐reflective sense of being a human self. Based on this reasoning, examples of studies of humans with wild and domestic animals illustrate the potential for a human‐animal sociology.

The set of 2,509 documents related to the human-centric aspect of manufacturing were retrieved from Scopus database and systmatically analyzed. Using an unsupervised machine learning approach based on Latent Dirichlet Allocation we were able to identify latent topics related to human-centric aspect of Industry 5.0.

This study aims to create a scientific map of the human-centric aspect of manufacturing and thus provide a systematic framework for further research development of Industry 5.0.

In this study a 140 unique research topics were identified, 19 of which had sufficient research impact and research interest so that we could mark them as the most significant. In addition to the most significant topics, this study contains a detailed analysis of their development and points out their connections.

Industry 5.0 has three pillars – human-centric, sustainable, and resilient. The sustainable and resilient aspect of manufacturing has been the subject of many studies in the past. The human-centric aspect of such a systematic description and deep analysis of latent topics is currently just passing through.