Office Hours: WED 1-2 PM
Dr Montomoli is a Senior Lecturer at Imperial College of London. His main research activities are on Heat Transfer, Gas Turbines, Uncertainty Quantification, Computational Fluid Dynamics, Rare Events, Aircraft Engines, Optimization. The two main areas of research of the UQLab are forward propagation of uncertainty and optimization/design under uncertainty.
The UQLab is also working on design for additive manufacturing.
Dr Montomoli read mechanical engineering at University of Florence where he obtained a MSc and a PhD (and he was visiting scholar at Texas AM University, Turbine Heat Transfer Laboratory, US). After the PhD he joined the R&D group of General Electric Oil&Gas.
In 2006 Dr Montomoli joined to the University of Cambridge, Whittle Laboratory and his researches were sponsored by Rolls-Royce and Mitsubishi Heavy Industries in the field of aerospace propulsion and power generation. In 2009 he becomes Mitsubishi Senior Fellow and College Lecturer at Girton College, Univ. of Cambridge
In 2011 Dr Montomoli was also Research Professor and leader of CFD group at the Basque Centre for Applied Mathematics. He is an external scientific member of BCAM.
In 2012 Dr Montomoli joined the University of Surrey as Senior Lecturer in Thermofluids.
In 2014 Dr Montomoli joined the Imperial College of London as Senior Lecturer
He is a Chartered Engineer of Ordine degli Ingegneri della Provincia di Firenze, Italy.
In 2016 he started UQuant ltd, a spinout of Imperial College that is licensing our codes.
Here the link of his intervention about Leonardo da Vinci and Aviation
In 2017 he obtained the Italian qualification as Full Professor in Mechanical Engineering
et al., An Autonomous Uncertainty Quantification Method for the Digital Age: Transonic Flow Simulations Using Multivariate Padé Approximations, Journal of Turbomachinery - Transactions of the ASME, ISSN:0889-504X
Ahlfeld R, Montomoli F, A Single Formulation For Uncertainty Propagation in Turbomachinery: SAMBA PC, Journal of Turbomachinery - Transactions of the ASME, ISSN:0889-504X
et al., 2017, Design for Additive Manufacturing: Internal Channel Optimization, Journal of Engineering for Gas Turbines and Power - Transactions of the ASME, Vol:139, ISSN:0742-4795
et al., 2017, Uncertainty Quantification for Fat-Tailed Probability Distributions in Aircraft Engine Simulations, Journal of Propulsion and Power, Vol:33, ISSN:0748-4658, Pages:881-890
et al., 2017, An Energy-Based Fouling Model for Gas Turbines: EBFOG, Journal of Turbomachinery - Transactions of the ASME, Vol:139, ISSN:0889-504X
et al., Uncertainty quantification of leakages in a multistage simulation and comparison with experiments, Journal of Fluids Engineering-Transactions of the ASME, ISSN:0098-2202
Ahlfeld R, Belkouchi B, Montomoli F, 2016, SAMBA: Sparse Approximation of Moment-Based Arbitrary Polynomial Chaos, Journal of Computational Physics, Vol:320, ISSN:0021-9991, Pages:1-16
Montomoli F, D'Ammaro A, Uchida S, 2013, Uncertainty Quantification and Conjugate Heat Transfer: A Stochastic Analysis, Journal of Turbomachinery - Transactions of the ASME, Vol:135, ISSN:0889-504X
et al., 2015, Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines, Springer, ISBN:978-3319146805
Gaymann A, Montomoli F, Pietropaoli M, 2017, DESIGN FOR ADDITIVE MANUFACTURING: VALVES WITHOUT MOVING PARTS, ASME Turbo Expo: Turbine Technical Conference and Exposition, AMER SOC MECHANICAL ENGINEERS