A5081026878- Granular flow and fluidized beds
- Mineral Processing and Grinding
- Microencapsulation and Drying Processes
- Drug Solubulity and Delivery Systems
- Spectroscopy and Chemometric Analyses
- Fault Detection and Control Systems
- Nanomaterials and Printing Technologies
- Nutrition, Health and Food Behavior
- Geotechnical and Geomechanical Engineering
- Food Quality and Safety Studies
- Proteins in Food Systems
- Membrane Separation and Gas Transport
- Freezing and Crystallization Processes
- Drilling and Well Engineering
- Rheology and Fluid Dynamics Studies
- Advanced Chemical Sensor Technologies
- Pickering emulsions and particle stabilization
- Fluid Dynamics and Heat Transfer
- Heat Transfer and Optimization
- Biosensors and Analytical Detection
- Additive Manufacturing and 3D Printing Technologies
- Heat Transfer and Boiling Studies
- Hydraulic Fracturing and Reservoir Analysis
- Microfluidic and Bio-sensing Technologies
- Inhalation and Respiratory Drug Delivery
Nestlé (Switzerland)
2014-2024
Procter & Gamble (United States)
2011
University of California, Santa Barbara
2008-2009
University of Groningen
2003
University of Sheffield
2003
To design dairy powder properties according to their future use, it is necessary know how identify the main process parameters that influence drying mechanisms and optimize them on basis of desired properties. The impacts atomization physicochemical surface composition were investigated correlated. analytical results permitted us sort produced powders into groups dependency parameters. This study shows feasibility developing a model for prediction via reverse engineering approach.
Spray drying is currently the main method of industrial milk production because its high speed and process control accuracy. By controlling parameters spray to characteristics powder well researched. However, mechanism in dryer still not very clear. Methods measuring single droplet kinetics are widely used instead directly modelling kinetics. In this study, methods including sessile drying, filament hanging levitator room temperature compare simulate dryer. Experiments show that droplets...
Granulation is a complex multivariable process with significant industrial importance. In this paper, dynamic partial least-squares (PLS) approach used to develop empirical predictive models of key variables. PLS tested on detailed simulator as well an mixer−granulator process. The applicability the nonlinear kernel-PLS (KPLS) for granulation also demonstrated. Accurate predictions obtained by these methods motivate development model controllers processes.
The homogeneity of particle suspension has attracted more attention in the fields rehydrating infant milk formula and beverages. This work focus on size characterization floating, sticking (on wall), suspended settling particles involving both online offline sizing techniques. Focused Beam Reflectance Measurement (FBRM) is a powerful technique that capable for measuring analysing chord length distribution (CLD) liquid. It been widely used terms monitoring evolution crystallization...
Laboratory experiments in modern food labs are human-driven and tedious processes which can have limited throughput, reliability, repeatability or robustness. Through repeatable motions precise control of process parameters, robotic automation provide significant improvements to the existing experimental processes, also improve manual assessment sensory data. By developing a system performs make, measure, adjust clean for milk beverage made from water powdered milk, we explore how variation...