Abstract

Context Large and thick aeronautical parts present distortion after machining because the residual stresses (RS) generated during previous manufacturing steps (heat treatment). Before assembly, distortion is removed manually. It is a time consuming operation and depends exclusively on the skills of a well trained operator. Scientific goals To develop a Reduced Order Model (ROM) for reshaping To evaluate the main parameters during the process and its uncertainty level Industrial goals To study reshaping from a numerical perspective To adapt reshaping simulations to each warped geometry To introduce numerical simulation in order to assist the operator

Abstract

Context: Automotive industry is moving towards a new generation of cars. Main idea: Cars are furnished with radars, cameras, sensors, etc… providing useful information about the environment surrounding the car. Goals: Provide an efficient model for the radar input/output. Reducing computational costs by means of big data techniques.

Abstract

Optimization of fleets and their propulsive alternatives by operating under motorways of the sea conditions The progressive progressive alleviation of the protectionist attitude attitude of the European European policy towards the maritime transport .  The European European Institutions have transfered the responsability of of the multimodal multimodal multimodal transport transport transportis competitive competitive by its own means to the private initiative .  In many ocassions ocassions ocassions studies try to find the most suitable route for the features of the transport mode when the approach approach approach should should be the opposite : the features of the transport means should should be adapted adapted to the transport service service requirements requirements .  The most of the studies about vessel vessel prototypes adapted adapted to SSS do not evaluate their operation acording the results results achieved by the multimodal multimodal chains (‘door to door’services )

Abstract

This presentation shows the recent work of the CIMNE in the maritime transport field. It was given at the Conference on Computation and Big Data in Transport (CM3-2017) held in November 22 – 23, 2017.