Daniel Lindblad

Doctoral Student at Chalmers, Mechanics and Maritime Sciences, 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

Showing 10 publications

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 proceedings
2019

A Nonreflecting Formulation for Turbomachinery Boundaries and Blade Row Interfaces

Daniel Lindblad, Nathan Wukie, Gonzalo Montero Villar et al
Computational Aeroacoustics (CAA)
Paper in proceedings
2019

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

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

Aerodynamic and Aeroacoustic Comparison of Optimized High-Speed Propeller Blades, AIAA 2018-4658

Alexandre Capitao Patrao, Daniel Lindblad, Anders Lundbladh et al
Conference contribution
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 proceedings
2018

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

Daniel Lindblad, Gonzalo Montero Villar, Niklas Andersson et al
Conference contribution
2018

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

Gonzalo Montero Villar, Daniel Lindblad, Niklas Andersson
Paper in proceedings
2017

Validating the Harmonic Balance Method for Turbomachinery Tonal Noise Predictions

Daniel Lindblad, Niklas Andersson
Proceedings of the 55th AIAA Aerospace Sciences Meeting (AIAA 2017-1171)
Conference contribution

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