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Jacopo BuongiornoAssociate Professor of Nuclear Science and Engineering jacopo@mit.edu |
PhD, Nuclear Engineering, Massachusetts Institute of Technology, 2000.
B.S., Nuclear Engineering, Polytechnic of Milan, 1996.
Multi-phase flow and heat transfer; advanced reactor design; reactor thermal-hydraulic, neutronic and structural analysis. My current research is focused in four areas:
By seeding the nuclear reactor coolant with nanoparticles it is possible to enhance the rate at which energy is removed from the nuclear fuel under normal and accident conditions, thus improving the reactor's economic and safety performance. The resulting particle-fluid system is called a 'nanofluid'. Watch the video
Cutting edge experimental techniques are used to study the physics of two-phase flow and heat transfer phenomena, in particular nucleate boiling, Critical Heat Flux (CHF) and quenching heat transfer. The group has optimized the use of synchronized infra-red thermography, high-speed video and Particle Image Velocimetry (PIV) to obtain detailed data for temperature distribution on the boiling surface, bubble departure diameter and frequency, growth and wait times, nucleation site density, near-wall void fraction, etc.. These data can be used to inform and validate models of boiling heat transfer, CHF and quenching, including multi-phase Computational Fluid Dynamics (CFD), and specifically Interface Tracking Methods (ITM). With such methods the geometry of the vapor-liquid interface is not assumed (e.g., bullet-shaped bubbles), but actually calculated from 'first principles'. Watch the video
The objective of this work is to reduce the number of code runs to be performed to get to a target confidence interval for the figure of merit (i.e. thermal margin). The methodology is as follows: i) reduce the number of important parameters using a Quantitative Phenomena Identification and Ranking Table (QPIRT); this is an "objective" PIRT as seen by the code, not based on subjective expert judgment, ii) train a surrogate model or a polynomial chaos expansion with a limited number of runs, and iii) quantify the uncertainty using the surrogate model or the polynomial chaos expansion. This approach can be significantly more efficient than traditional brute-force Monte Carlo sampling.
U.S. Application No.: 61/706401, Filing Date: September 27, 2012, M.I.T. Case No. 15825K, MIT Docket No.: 15825.113297, "Hydrophobic Porous Coatings for Creation of Stable Vapor Films to Reduce Drag", by Robert Cohen, Michael Rubner, Jacopo Buongiorno, Harrison O'Hanley and Thomas McKrell
"In-situ treatment of metallic surfaces", Provisional patent, Serial Number 61/153,411. United States Patent and TM Office. Filing date 18 February 2009.
"Nanoparticle Thin-Film Coatings for Enhancement of Boiling Heat Transfer", US Patent No. US 2010/0224638 A1, United States Patent and TM Office. Filed 10 February 2010.
"Concentrated solar power system", International Publication No. WO 2011/035232 March 24, 2011.
22.06 Engineering of Nuclear Systems
2.005 Thermal-Fluids Engineering I
22.312 Engineering of Nuclear Reactors
22.313J Thermal Hydraulics in Power Technology