C. Lüthi

ORCID: 0000-0003-1220-680X
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About
Contact & Profiles
Research Areas
  • Fluid Dynamics and Heat Transfer
  • Additive Manufacturing Materials and Processes
  • Particle Dynamics in Fluid Flows
  • Fluid Dynamics Simulations and Interactions
  • Granular flow and fluidized beds
  • Laser Material Processing Techniques
  • Laser-induced spectroscopy and plasma
  • Additive Manufacturing and 3D Printing Technologies
  • Engineering Technology and Methodologies

ETH Zurich
2021-2023

Smoothed particle hydrodynamics (SPH) is a well-developed mesh-free method that has proven highly efficient for mesoscopic additive manufacturing (AM) simulations. Nevertheless, all current three-dimensional SPH models in this ever-growing field of application are based on uniform discretization size (i.e., single-resolution domain) and cannot exploit the computational efficiency from an algorithmic point view. In work, we present spatially fully-adaptive scheme apply it first time to...

10.1016/j.camwa.2023.03.003 article EN cc-by Computers & Mathematics with Applications 2023-03-16

This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing computational effort via spatial adaptivity, for which dynamic particle refinement pattern with optimized neighbor-search algorithm is used. melt pool dynamics modeled by resolving thermal, mechanical, and material fields single laser track application. After validating solver two benchmark tests where...

10.3390/app11072962 article EN cc-by Applied Sciences 2021-03-26

Particle-based spatial discretization methods such as smoothed particle hydrodynamics (SPH) possess suitability for the high-fidelity simulation of laser manufacturing processes due to their capability in treating complex free-surface and multiphase problems. In simulations, heat source modeling remains a central concern mechanisms governing material deformations phase changes strongly depend on input energy its distribution details. Ray tracing (RT) is realistic accurate approach that can...

10.1016/j.ijheatmasstransfer.2023.124378 article EN cc-by-nc-nd International Journal of Heat and Mass Transfer 2023-06-15

Numerical simulation of melt pool behavior during laser powder bed fusion (LPBF) is essential to provide more effective control the process and choose an optimal set input parameters for defect-free fabrication. In this work, we use smoothed particle hydrodynamics (SPH) method investigate impact power scan speed on geometry in LPBF. The developments here follow state-of-the-art numerical algorithms implementing most relevant physical phenomena region, such as recoil pressure Marangoni...

10.1016/j.procir.2022.09.187 article EN Procedia CIRP 2022-01-01

The need for materials and process optimization in laser powder bed fusion (LPBF) goes hand with its numerical simulation capabilities. This work lays the groundwork developing an efficient predictive tool that can ultimately capture manufacturing defects 3D multi-layer LPBF simulations generate insights into possible ways to avoid or mitigate them. As a first step towards end, we present 2D framework based on smoothed particle hydrodynamics (SPH) method featuring new application. SPH...

10.1016/j.procir.2022.04.045 article EN Procedia CIRP 2022-01-01

Particle-based spatial discretization methods such as smoothed particle hydrodynamics (SPH) possess suitability for the high-fidelity simulation of laser manufacturing processes due to their capability in treating complex free-surface and multiphase problems. In simulations, heat source modeling remains a central concern mechanisms governing material deformations phase changes strongly depend on input energy its distribution details. Ray tracing (RT) is realistic accurate approach...

10.2139/ssrn.4396547 article EN 2023-01-01
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