Prof. M'hamed BOUTAOUS (CETHIL, INSA Lyon, France).

"Modeling additive manufacturing: the case of the selective laser Sintering (SLS)"

These last years, many industrial and academic interests concerning the additive manufacturing of materials are developed. Although major advances have been made in industry in this area, it remains that, in order to properly model the process and propose quality improvement of tracks and parts, several phenomena are still not well understood. The SLS process fabricates solid objects by means of a laser radiation, which depends on several parameters related to the laser beam: laser power, scanning velocity and wavelength. This talk concerns an overview in the SLS process, and will address the multi-physics coupling in the numerical modeling of the process at the part scale.  The powder bed is considered as a continuous medium with homogenized properties. To understand multi-physical phenomena occurring during the process and study the influence of process parameters on the quality of final product, a thermal model, based on enthalpy approach, will be presented in detail on the multi-physical couplings: laser absorption, melting, coalescence, densification, volume shrinkage and on numerical implementation using FV method. A parametric analysis is proposed, and some original results as the laser polymer interaction and the powder bed transformation will be discussed. The densification process and the thermal history with the evolution of the material, from the granular solid state to homogeneous melted state, will be investigated with regard to the involved physical phenomena and the process parameters.

Prof. Mohammed EL GNAOUI (IUT longwy, Universite de Lorraine, Nancy,  France).

Pr. M. El Ganaoui, is a full professor at the University of Lorraine and researcher in the Jacques Villermaux Federation for mechanics, energy and processes (FR 28 63/LERMAB). He is heading the research in energy in the Henri Poincaré Institute of Technology in Longwy. Previously, he was an Ass. Professor in the University of Limoges and the SPCTS UMR 6638 CNRS laboratory where he was responsible for the Physics Department (2004-2010) and the international cooperation service (2006-2010) in the Faculty of science and technology. His research aims to understand heat and mass transfers through modeling and numerical simulation with a specific activity in the field of the solid -liquid-vapor phase change. Applications concern materials and energy and benefit to energy systems including phenomena for sustainable building (Eco-materials). He teaches the mechanics of continuous media, heat transfers, and numerical methods. He was advisor of more than 30 Phd Thesis with strong international interaction noticeably in the Euro-Mediterranean context. He participated/managed the PAI Australia, Canada, Maghreb (Tassili, Utique, Volubilis), China (Xugangqi). El Ganaoui has participated in the Edition of more than 15 special issues and conference proceedings, co-authored over than 200 publications in journals (rank A) and participated in more than 100 international conferences including ten he co-organized. He is member of many international scientific societies in mechanics and heat transfers.

Keys for exchange

The talk will concern an introduction to Studies in France (University of Lorraine), topics of research and international cooperation and doctorate mobility. The exchange will be also devoted to scientific approaches, results and illustrations. Dialogue between doctor and engineer will remain crucial for societal progress. It is universal to all cultures and systems of knowledge. Modeling of heat and mass transfers have helped on more than a century the understand phenomena, model, control and make valuable return on the society. This dialogue will be illustrated through research results in the field of sustainable energy and building.

Prof.   Mousa Marzband (Northumbria University, United Kingdom & King Abdulaziz University, Saudi Arabia)

"Smart Micro Grid with high penetration of PV Generation and Electric Vehicles"

   The continuous deployment of distributed renewable energy sources and increase in the adoption of electric vehicles (EVs) require smart charging paradigms that consider several factors simultaneously including EV users-defined requirements, grid capacity, RES generation, battery state of health, weather and driving conditions. This is required not only to mitigate the negative impacts of intermittent nature of RESs and uncontrolled EV charging but also to make use of the opportunities that EV battery storage provides to support the future smart grid. Existing EV chargers offer limited flexibility and controllability, and do not fully consider these factors (e.g., time EV user can wait and length of next trip) as well as the potential opportunities and financial benefits from using EVs to support the grid, charge from renewable energy and deal with the negative impacts of intermittent RES generation. The lack of adequate smart EV charging may result in avoidable high battery degradation, violation of grid control statutory limits, high greenhouse emissions and charging costs. A successful and commercially viable charge control algorithm must meet EV user requirements, work within technical constraints and be simple to implement in real-time. In this presentation, an advanced smart charge controller will be presented considering user requirements, energy tariff, grid condition (e.g., voltage or frequency), RES (PV) output and battery state of health.

Prof. Mouhaydine  Tlemcani (University of Evora Portugal)

"An instrumental contribution to the optimisation of material manufacturing processes in a laboratory environment"

     Whether in a laboratory or industrial conditions, physical measurements play a central role in manufacturing processes. At the control and regulation level, these measurements are responsible for the supply of negative feedback and provide the regulators with the information that allows them to act correctly in the systems for their optimal functioning. This conceptual schema can be transferred to the incipient laboratory design involving experimental processes whose complexity and diversity make it difficult to integrate them into a classical control formalism. Starting from classical models, an attempt will be made to form an approach based on the integration of mathematical models of certain steps of laboratory processes in order to optimise them.