Hybrid processes by Additive Manufacturing
Guest Speaker：Prof.Michele Chiumenti，Universitat Politècnica de Catalunya - BarcelonaTech，Spain
Inviter: Assoc.Prof. Hongze Wang
Date&Time: Monday, 14 July, 10:00-11:30
Venue: Meeting Room 303, Special Materials Building (特种材料楼303会议室)
Biography:
Prof. Michele Chiumenti holds a degree in Civil Engineering and a Master's in Structural Analysis from Politecnico di Milano (1994). He earned his Ph.D. in Civil Engineering (Ingeniero de Caminos, Canales y Puertos) from the Universitat Politècnica de Catalunya (UPC) in 1999. Currently, Prof. Chiumenti serves as a Full Professor of Continuum Mechanics and Structural Analysis at the Department of Civil and Environmental Engineering, UPC, and as a Full Research Professor at the International Center for Numerical Methods in Engineering (CIMNE), within the Industrial Manufacturing Processes (IMP) group.
Prof. Chiumenti has an extensive publication record, with 130 peer-reviewed articles in JCR scientific journals, along with 15 monographs, and contributions to four books and book chapters in the field of non-linear computational mechanics. He has participated in over 100 national and international research conferences, delivering nine plenary lectures. Additionally, he is the organizer and co-chairman of the renowned COMPLAS Conference series and serves on the Scientific and Organizing Committees of several other conferences. He is a member of the Spanish Society for Numerical Methods in Engineering (SEMNI) since 1999.
Prof. Chiumenti has led numerous European and Spanish-funded research projects, focusing on the development of finite element (FE)-based technologies for numerical simulation in structural and failure analysis, spanning civil and mechanical engineering. His work also encompasses thermo-mechanical analyses in advanced manufacturing processes such as Additive Manufacturing (AM), Friction Stir Welding (FSW), casting, and other metal-forming techniques.
Abstract:
This work presents a computational strategy for the numerical simulation of Additive Manufacturing (AM), focusing specifically on the Direct Energy Deposition (DED) process applied to casting structures used as substrates. The proposed solution involves the automatic generation of a finite element (FE) mesh to discretize the casting component by embedding the corresponding CAD file into the background mesh. An octree-based mesh refinement approach is utilized to ensure an accurate definition of the component boundaries. The AM process is then simulated using a growing computational domain, dynamically generated based on the defined scanning path (e.g., G-code format). The coupled thermo-mechanical simulation evaluates both the temperature field induced by the DED process and the resulting residual stresses. To identify the optimal process parameters, the strategy adjusts the energy density (defined by the power supply and the scanning speed) in response to the current substrate temperature. Additionally, the optimal dwell time between successive layers is calculated to minimize alterations to the original microstructure at the interface between the casting and the AM build.The same software framework is extended to support repair operations using the DED process.