24 citations · 47 across the 6 of their papers we have counts for
8 papers
One-Shot Camera-Based Extrusion Optimization for High Speed Fused Filament Fabrication
Yufan Lin, Xavier Guidetti, Yannick Nagel +2
Off-the-shelf fused filament fabrication 3D printers are widely accessible and convenient, yet they exhibit quality loss at high speeds due to dynamic mis-synchronization between p…
Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
Xavier Guidetti, Efe C. Balta, John Lygeros
In this study, we present a novel swarm-based approach for generating optimized stress-aligned trajectories for 3D printing applications. The method utilizes swarming dynamics to s…
Data-Driven Extrusion Force Control Tuning for 3D Printing
Xavier Guidetti, Ankita Mukne, Marvin Rueppel +3
The quality of 3D prints often varies due to different conditions inherent to each print, such as filament type, print speed, and nozzle size. Closed-loop process control methods i…
Force Controlled Printing for Material Extrusion Additive Manufacturing
Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver +5
In material extrusion additive manufacturing, the extrusion process is commonly controlled in a feed-forward fashion. The amount of material to be extruded at each printing locatio…
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers
Xavier Guidetti, Efe C. Balta, Yannick Nagel +3
When manufacturing parts using material extrusion additive manufacturing and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on t…
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements
Xavier Guidetti, Marino Kühne, Yannick Nagel +3
The tuning of fused filament fabrication parameters is notoriously challenging. We propose an autonomous data-driven method to select parameters based on in situ measurements. We u…
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl +2
We propose a framework for the configuration and operation of expensive-to-evaluate advanced manufacturing methods, based on Bayesian optimization. The framework unifies a tailored…
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl +2
Recent work has shown constrained Bayesian optimization to be a powerful technique for the optimization of industrial processes. In complex manufacturing processes, the possibility…