Publication
Adaptive Laser Welding Control: A Reinforcement Learning Approach
Related publications (79)
Control of intermetallics in the interface in directed energy deposition of titanium on stainless steel 316L
Application of a single metal or alloy is often restricted by its properties from optimal combination of performance and cost. Therefore, there is a vast need of joining dissimilar metals for various applications in biomedical, aerospace, automobile and ma ...
EPFL2023Single-frequency violet and blue laser emission from AlGaInN photonic integrated circuit chips
Tobias Kippenberg, Anat Siddharth
Chip-based, single-frequency and low phase-noise integrated photonic laser diodes emitting in the violet (412 nm) and blue (461 nm) regime are demonstrated. The GaN-based edge-emitting laser diodes were coupled to high-quality on-chip micro-resonators for ...
Optica Publishing Group2023Third-harmonic generation monitoring of femtosecond-laser-induced in-volume functional modifications
Christian Enz, Yves Bellouard, Assim Boukhayma, Andrea Kraxner, Olivier Bernard
During the last two decades, ultrafast in-volume laser-based processing of transparent materials has emerged as a key 3D-printing method for manufacturing a variety of complex integrated photonic devices and micro-parts. Yet, identifying suitable laser pro ...
2023Metasurface-stabilized optical microcavities
Cavities concentrate light and enhance its interaction with matter. Confining to microscopic volumes is necessary for many applications but space constraints in such cavities limit the design freedom. Here we demonstrate stable optical microcavities by cou ...
NATURE PORTFOLIO2023Virtual metrology applied to milling process
Paul Arthur Adrien Pierre Dreyfus
Production quality and process efficiency are the two main drivers that lead any industrial strategy. To ensure product quality, a duality historically existed between two approaches, namely batch sampling and systematic sampling. In batch sampling, the ba ...
EPFL2022Towards ‘Fourth Paradigm’ Spectral Sensing
Marilyne Andersen, Forrest Simon Webler, Manuel Spitschan
Reconstruction algorithms are at the forefront of accessible and compact data collection. In this paper, we present a novel reconstruction algorithm, SpecRA, that adapts based on the relative rarity of a signal compared to previous observations. We leverag ...
2022Defect formation and mitigation during laser powder bed fusion of copper
Additive manufacturing (AM) is a group of processing technologies which has the potential to revolutionize manufacturing by allowing easy manufacturing of complex shapes and small series. One AM-method which is of high interest for processing of metals is ...
EPFL2021Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring
Refineries execute a series of interlinked processes, where the product of one unit serves as the input to another process. Potential failures within these processes affect the quality of the end products, operational efficiency, and revenue of the entire ...
2021Tensile and Impact Toughness Properties of a Zr-Based Bulk Metallic Glass Fabricated via Laser Powder-Bed Fusion
Roland Logé, Jamasp Jhabvala, Antonia Neels, Annapaola Parrilli, Navid Sohrabi
In the past few years, laser powder-bed fusion (LPBF) of bulk metallic glasses (BMGs) has gained significant interest because of the high heating and cooling rates inherent to the process, providing the means to bypass the crystallization threshold. In thi ...
MDPI2021Fatigue Performance of an Additively Manufactured Zr-Based Bulk Metallic Glass and the Effect of Post-Processing
Roland Logé, Jamasp Jhabvala, Annapaola Parrilli, Baptiste Thomas Jean Rouxel, Navid Sohrabi, Milad Hamidi Nasab
Fatigue is the most common cause of failure of mechanical parts in engineering applications. In the current work, we investigate the fatigue life of a bulk metallic (BMG) glass fabricated via additive manufacturing. Specimens fabricated via laser powder-be ...
MDPI2021