71 citations · 144 across the 13 of their papers we have counts for
14 papers
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
Mihaela Chiappetta, Massimo Carraturo, Alexander Raßloff +2
The present paper proposes a Bayesian framework for inverse problems that seamlessly integrates optimization and inversion to enable rapid surrogate modeling, accurate parameter in…
Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing
Mihaela Chiappetta, Chiara Piazzola, Lorenzo Tamellini +3
We present an efficient approach to quantify the uncertainties associated with the numerical simulations of the laser-based powder bed fusion of metals processes. Our study focuses…
Impact of interaction forces in first order many-agent systems for swarm manufacturing
Ferdinando Auricchio, Massimo Carraturo, Giuseppe Toscani +1
We study the large time behavior of a system of interacting agents modeling the relaxation of a large swarm of robots, whose task is to uniformly cover a portion of the domain by c…
Sparse-grids uncertainty quantification of part-scale additive manufacturing processes
Mihaela Chiappetta, Chiara Piazzola, Massimo Carraturo +3
The present paper aims at applying uncertainty quantification methodologies to process simulations of powder bed fusion of metal. In particular, for a part-scale thermomechanical m…
An Ontology for Defect Detection in Metal Additive Manufacturing
Massimo Carraturo, Andrea Mazzullo
A key challenge for Industry 4.0 applications is to develop control systems for automated manufacturing services that are capable of addressing both data integration and semantic i…
Two-level Method Part-scale Thermal Analysis of Laser Powder Bed Fusion Additive Manufacturing
Massimo Carraturo, Alex Viguerie, Alessandro Reali +1
Numerical simulations of a complete laser powder bed fusion (LPBF) additive manufacturing (AM) process are extremely challenging or even impossible to achieve without a radical mod…
A spatiotemporal two-level method for high-fidelity thermal analysis of laserpowder bed fusion
Alex Viguerie, Massimo Carraturo, Alessandro Reali +1
Numerical simulation of the laser powder bed fusion (LPBF) procedure for additive manufacturing (AM) is difficult due to the presence of multiple scales in both time and space, ran…
Bending behavior of additively manufactured lattice structures: numerical characterization and experimental validation
Nina Korshunova, Gianluca Alaimo, Seyyed Bahram Hosseini +6
Selective Laser Melting (SLM) technology has undergone significant development in the past years providing unique flexibility for the fabrication of complex metamaterials such as o…
Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures
Nina Korshunova, Gianluca Alaimo, Seyyed Bahram Hosseini +6
The production of lightweight metal lattice structures has received much attention due to the recent developments in additive manufacturing (AM). The design flexibility comes, howe…
Structural multiscale topology optimization with stress constraint for additive manufacturing
Ferdinando Auricchio, Elena Bonetti, Massimo Carraturo +3
In this paper a phase-field approach for structural topology optimization for a 3D-printing process which includes stress constraint and potentially multiple materials or multiscal…
Accurate prediction of melt pool shapes in laser powder bed fusion by the non-linear temperature equation including phase changes - isotropic versus anisotropic conductivity
Stefan Kollmannsberger, Massimo Carraturo, Alessandro Reali +1
In this contribution, we validate a physical model based on a transient temperature equation (including latent heat) w.r.t. the experimental set AMB2018-02 provided within the addi…
Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains
Fabrizio Garotta, Nicola Demo, Marco Tezzele +3
In this contribution, we coupled the isogeometric analysis to a reduced order modelling technique in order to provide a computationally efficient solution in parametric domains. In…
Graded-material Design based on Phase-field and Topology Optimization
Massimo Carraturo, Elisabetta Rocca, Elena Bonetti +3
In the present work we introduce a novel graded-material design based on phase-field and topology optimization. The main novelty of this work comes from the introduction of an addi…
Suitably graded THB-spline refinement and coarsening: Towards an adaptive isogeometric analysis of additive manufacturing processes
Massimo Carraturo, Carlotta Giannelli, Alessandro Reali +1
In the present work we introduce a complete set of algorithms to efficiently perform adaptive refinement and coarsening by exploiting truncated hierarchical B-splines (THB-splines)…