HAMID REZA VANAEI

Léonard de Vinci (DVRC) - Arts et Métiers (ENSAM), France

Title: 3D Printing Optimization: How to apply Multidisciplinary Approach through Optimization of the Process

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Biography

Hamid Reza Vanaei is an Associate Professor. He got his MSc and PhD in Mechanics of Materials in Arts et Métiers, Paris-France. He has 6 years of experience in Material Science, Mechanical Engineering, and Additive Manufacturing. He worked as postdoc to apply Artificial Intelligence and Machine Learning toward the optimization in Turbo machinery as well as their production procedure using AM techniques. During his journey, he developed an in situ monitoring approach for temperature recording. The main research work that he realizes essentially consists a multidisciplinary approach toward AM techniques, particularly Fused Filament Fabrication (FFF). His main research topics include AM and AI and in parallel, their application to other related research categories and industrial projects.

Research Interest

The problems of effective bonding, reduced strength and mechanical performance of fused filament fabrication (FFF)-printed 3D models are still major concerns in 3D-printed structures. Fused filament fabrication – also known as 3D printing – is extensively used to produce prototypes for applications in, e. g., the aerospace, medical, and automotive industries. In this process, a thermoplastic polymer is fed into a liquefier that extrudes a filament while moving in successive X-Y planes along the Z direction, to fabricate a 3D part in a layer-by-layer process. Accordingly, several parameters affect the manufactured part quality, like the temperature profile of the polymer and thus the inter-layer bonding. It is therefore important to understand how the process parameters affect the evolution of filaments temperature as mentioned. Despite the advantages of FDM/FFF, it needs to be improved and optimized to reach the industry requirements. This optimization could be obtained by maximization of mechanical characteristics and bonding quality (objective: part quality), and by minimization of part cost and build time (objective: process optimization). Given the above-mentioned statements, the temperature evolution during FFF process thoroughly specified the quality and mechanical strength of fabricated structures. Experimental monitoring and analytical investigations are still challenging in FFF and lack of practical knowledge corresponds to the problem of bonding in this process. Since the rheological characteristics are a function of temperature, together with the mentioned process variables, are widely affected by temperature evolution of filaments while printing. To sum up, investigation on optimization of FFF process is still in its early stage and it is required to perform optimization tools as a  function of the mentioned variables.