Francisco José Navarro-Brull

Francisco José Navarro-Brull
Imperial College London | Imperial · Department of Chemical Engineering

Doctor of Engineering

About

8
Publications
2,569
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94
Citations
Citations since 2017
7 Research Items
94 Citations
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Introduction
Industrial data scientist, Imperial College London visiting researcher, and chemical engineer working at Solvay, a Belgian company providing advanced materials and specialty chemicals worldwide. Francisco Navarro has been leading the optimization and troubleshooting of process engineering problems using machine learning on top of advanced process control. His Ph.D. focused on the modeling and simulation of multiphase-flow sonoreactors, on which he holds two patents. He also visited Prof. Jensen

Publications

Publications (8)
Preprint
Full-text available
Batch processes show several sources of variability, from raw materials' properties to initial and evolving conditions that change during the different events in the manufacturing process. In this chapter, we will illustrate with an industrial example how to use machine learning to reduce this apparent excess of data while maintaining the relevant...
Article
Full-text available
In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to start with examples that are irrelevant to process engineers (e.g. classification of images between cats and dogs, house pricing, types of flowers, etc.). However, process engineering principles are also based on pseudo-empirical correlations and heuristi...
Article
Full-text available
Achieving the United Nations sustainable development goals requires industry and society to develop tools and processes that work at all scales, enabling goods delivery, services, and technology to large conglomerates and remote regions. Process Intensification (PI) is a technological advance that promises to deliver means to reach these goals, but...
Article
Full-text available
In 2015 all the United Nations (UN) member states adopted 17 sustainable development goals (UN-SDG) as part of the 2030 Agenda, which is a 15-year plan to meet ambitious targets to eradicate poverty, protect the environment, and improve the quality of life around the world. Although the global community has progressed, the pace of implementation mu...
Article
Capillary reactors demonstrate outstanding potential for on-demand flow chemistry applications. However, non-uniform distribution of multiphase flows, poor solid handling, and the risk of clogging limit their usability for continuous manufacturing. While ultrasonic irradiation has been traditionally applied to address some of these limitations, the...
Article
Channeling of gas can reduce mass transfer performance in multiphase micropacked-bed reactors. Viscous and capillary forces cause this undesired and often unpredictable phenomenon in systems with catalyst particle sizes of hundreds of microns. In this work, we acoustically modify flow in a micropacked-bed reactor to reduce gas channeling by applyin...
Article
A model for the design of micropacked-bed reactors via correlations, capable of providing a reliable estimation of two-phase flow dynamics and mass-transfer coefficients, is lacking, especially when the particle size of the bed is around 100 μm. In this work, we present a validation of the use of the Phase-Field Method for reproducing two-phase flo...
Article
Possible drawbacks of microreactors are inefficient reactant mixing and the clogging of microchannels when solid-forming reactions are carried out or solid (catalysts) suspensions are used. Ultrasonic irradiation has been successfully implemented for solving these problems in microreactor configurations ranging from capillaries immersed in ultrason...

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