Daniel Lindblad

Doctoral Student at Fluid Dynamics

Daniel Lindblad is a PhD student in the Turbomachinery and Aeroacoustics group at the division of Fluid Dynamics. His research is mainly focused on developing numerical methods for simulating noise generated in different aircraft engine components, such as compressors, fans and combustors. The numerical methods are being implemented and tested in G3D::Flow, which is a parallel Finite-Volume code written in C++.

Source: chalmers.se
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Showing 17 publications

2021

Using horizontal sonic crystals to reduce the aeroacosutic signature of a simplified ICE3 train model

Guglielmo Minelli, Huadong Yao, Niklas Andersson et al
Applied Acoustics. Vol. 172
Journal article
2020

Convergence Acceleration of the Harmonic Balance Method using a Time-Level Preconditioner

Daniel Lindblad, Niklas Andersson
CFD Methods. Vol. 3
Paper in proceeding
2020

Minimizing Aliasing in Multiple Frequency Harmonic Balance Computations

Daniel Lindblad, Christian Frey, Laura Junge et al
Preprint
2020

Convergence Acceleration of the Harmonic Balance Method using a Time-Level Preconditioner

Daniel Lindblad, Niklas Andersson
AIAA Journal. Vol. 58 (11), p. 4908-4922
Journal article
2020

Investigation of Phase-Lagged Boundary Conditions for Turbulence Resolving Turbomachinery Simulations

Gonzalo Montero Villar, Daniel Lindblad, Niklas Andersson
AIAA AVIATION 2020 FORUM. Vol. 1
Paper in proceeding
2019

Noisyduck: An open-source python tool for computing eigenmode decompositions of duct flows

Nathan A. Wukie, Daniel Lindblad, Niklas Andersson
25th AIAA/CEAS Aeroacoustics Conference, 2019
Paper in proceeding
2019

Nonreflecting boundary conditions for the Euler equations in a discontinuous Galerkin discretization

Nathan Wukie, Paul Orkwis, Daniel Lindblad et al
Novel CFD Methods. Vol. IV
Paper in proceeding
2019

A Nonreflecting Formulation for Turbomachinery Boundaries and Blade Row Interfaces

Daniel Lindblad, Gonzalo Montero Villar, Niklas Andersson et al
Computational Aeroacoustics (CAA)
Paper in proceeding
2019

Effect of Airfoil Parametrization on the Optimization of Counter Rotating Open Rotors

Gonzalo Montero Villar, Daniel Lindblad, Niklas Andersson
AIAA Scitech 2019 Forum
Paper in proceeding
2018

Implementation of a Quasi-Three-Dimensional Nonreflecting Blade Row Interface for Steady and Unsteady Analysis of Axial Turbomachines

Daniel Lindblad, Nathan Wukie, Gonzalo Montero Villar et al
Turbomachinery and Core Noise. Vol. 5
Paper in proceeding
2018

Aeroacoustic Analysis of a Counter Rotating Open Rotor based on the Harmonic Balance Method

Daniel Lindblad, Gonzalo Montero Villar, Niklas Andersson et al
2018 AIAA Aerospace Sciences Meeting. Vol. 2018 (210059)
Paper in proceeding
2018

Multi-Objective Optimization of a Counter Rotating Open Rotor using Evolutionary Algorithms

Gonzalo Montero Villar, Daniel Lindblad, Niklas Andersson
Paper in proceeding
2018

Aerodynamic and aeroacoustic comparison of optimized high-speed propeller blades

Alexandre Capitao Patrao, Daniel Lindblad, Anders Lundbladh et al
2018 Joint Propulsion Conference
Paper in proceeding
2017

Validating the Harmonic Balance Method for Turbomachinery Tonal Noise Predictions

Daniel Lindblad, Niklas Andersson
AIAA SciTech Forum - 55th AIAA Aerospace Sciences Meeting
Paper in proceeding

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