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SUMMARY:IMX Talks - From Powder to Performance: Microstructure Engineer
 ing in Metal Additive Manufacturing for Advanced Applications
DTSTART:20260108T150000
DTEND:20260108T160000
DTSTAMP:20260608T052739Z
UID:d25b9c10281c6689ac6aa9e1d87f7342e25d3f974c6b560b061e75a9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Christian Leinenbach\, EMPA and Laboratory for Photonic Ma
 terials and Characterization\, EPFL \nMetal additive manufacturing (AM) 
 methods such as Laser Powder Bed Fusion (LPBF) have evolved from tools for
  producing parts with complex geometries into versatile platforms for tail
 oring alloy microstructures and properties.\nIn this talk\, I will discuss
  approaches for microstructure engineering of Fe- and Al-based alloys via 
 LPBF. I will show how alloy and process optimization allow us to adjust lo
 cal composition\, texture\, and phase transformations\, and how these chan
 ges influence the mechanical and functional properties of these alloys. By
  controlling solidification dynamics and selective evaporation of elements
 \, it is possible to tune phase formation and defect populations in parts 
 with complex 3D geometries. These examples illustrate how real-time proces
 s control enables the fabrication of components with adaptive and multifun
 ctional characteristics\, pointing toward the next generation of microstru
 cture-aware metal additive manufacturing.\n\nBio: Christian Leinenbach le
 ads the Advanced Processing and Additive Manufacturing of Metals group acr
 oss the Dübendorf/Zürich and Thun sites. He also serves as Maître d'Ens
 eignement et de Recherche at the Institute of Materials at EPFL\, where he
  gives courses on advanced metallurgy\, metals processing\, and additive m
 anufacturing. He earned his MSc in Materials Science and Engineering from 
 the Universities of Saarbrücken (Germany) and Luleå (Sweden) in 2000\, a
 nd his PhD from the University of Kaiserslautern (Germany) in 2004.\nHis r
 esearch focuses on the development and characterization of high-performanc
 e structural alloys and metal–matrix composites\, with an emphasis on ad
 ditive manufacturing and laser-based processing. Key areas of interest inc
 lude Al- and Ni-based alloys\, refractory high-entropy alloys\, oxide-disp
 ersion-strengthened materials\, and shape-memory alloys. His work integrat
 es computational alloy design via high-throughput simulations and machine-
 learning-assisted thermodynamic modelling with advanced characterization m
 ethods such as synchrotron and neutron imaging and diffraction.\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/j/66052747640
STATUS:CONFIRMED
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