nanand-tud Goto Github PK

I am a young Doctorate from Delft University of Technology and is currently working for Belgium Research Institute VITO.

I work a lot with optimization method for engineering/scientific problems. More specifically, with respect to shape, topology optimization and control theory. If you are interested in such topic I have some pretty interesting repositories for you.

I am currently exploring multi-disciplinary design optimization strategies, learning-method for CFD-based optimization and multi-fidelity optimization. If any of these topics is of you interest please get in touch and maybe we can collaborate.

ParaBlade --> A python based 3D turbomachinery blade parametrization code.
openMOC --> Method of characterisitcs code to design supersonic vanes and rotors.

SU2 --> open-source CFD tool, (contribution: turbomachinery optimization)

[1] Assessment of FFD and CAD-based shape parametrization methods for adjoint-based turbomachinery shape optimization. N Anand, S Vitale, M Pini, P Colonna, Global Power and Propulsion Society, Montreal, Canada., 10.5281/zenodo.1344595, 2018

[2] DESIGN METHODOLOGY FOR SUPERSONIC RADIAL VANES OPERATING IN NON-IDEAL FLOW CONDITIONS, N Anand, S Vitale, M Pini, GJ Otero-Rodríguez, R Pecnik, Journal of Engineering for Gas Turbines and Power, 2018.

[3] A Unified Geometry Parametrization Method for Turbomachinery Blades, R Agromayor, N Anand, JD Müller, M Pini, LO Nord, Computer-Aided Design, 102987, 2021.

[4] Adjoint-Based Aeroelastic Design Optimization Using a Harmonic Balance Method, N Anand, A Rubino, P Colonna, M Pini ASME TurboExpo2020, 12 pages, 2021.

[5] Multi-Row Adjoint-Based Optimization of NICFD Turbomachinery Using a Cad-Based Parametrization, R Agromayor, N Anand, M Pini, LO Nord, Journal of Engineering for Gas Turbines and Power, 2021.

[6] Design guidelines for supersonic stators operating with fluids made of complex molecules, N Anand, P Colonna, M Pini, Energy 203, 117698, 2021.

LinkedIn : www.linkedin.com/in/nitishanand/