Hybrid semi-parametric modeling in process systems engineering: Past, present and future
M Von Stosch, R Oliveira, J Peres… - Computers & Chemical …, 2014 - Elsevier
Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …
nonparametric submodels based on different knowledge sources. The development of a …
Modelling for froth flotation control: A review
Flotation is a conceptually simple operation; however, as a multiphase process with inherent
instability, it exhibits complex dynamics. One of the most efficient ways to increase flotation …
instability, it exhibits complex dynamics. One of the most efficient ways to increase flotation …
Deep hybrid modeling of chemical process: Application to hydraulic fracturing
Process modeling began with the use of first principles resulting in 'white-box'models which
are complex but accurately explain the dynamics of the process. Recently, there has been …
are complex but accurately explain the dynamics of the process. Recently, there has been …
Hybrid modeling in the era of smart manufacturing
Smart manufacturing (SM) is a new paradigm that allows manufacturing to enter its fourth
revolution by exploiting state-of-the art sensing, communication and computation as the …
revolution by exploiting state-of-the art sensing, communication and computation as the …
Artificial neural network approach for flow regime classification in gas–liquid–fiber flows based on frequency domain analysis of pressure signals
T Xie, SM Ghiaasiaan, S Karrila - Chemical Engineering Science, 2004 - Elsevier
The feasibility of a transportable artificial neural network (ANN)-based technique for the
classification of flow regimes in three phase gas/liquid/pulp fiber systems by using pressure …
classification of flow regimes in three phase gas/liquid/pulp fiber systems by using pressure …
Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques
In this study, the metallurgical performance (grade and recovery) forecasting of pilot plant
flotation column using Artificial Neural Networks (ANN) and Multivariate Non-Linear …
flotation column using Artificial Neural Networks (ANN) and Multivariate Non-Linear …
Soft computing-based modeling of flotation processes–A review
I Jovanović, I Miljanović, T Jovanović - Minerals Engineering, 2015 - Elsevier
The modern modeling of flotation processes has been burdened for years with limitations of
classical mathematics and modeling. The emergence of soft computing methods has also …
classical mathematics and modeling. The emergence of soft computing methods has also …
[PDF][PDF] Nonlinear model reduction for optimization based control of transient chemical processes
W Marquardt - AIChE Symposium Series, 2002 - researchgate.net
Optimization based control aims at maximizing the economical performance of a plant in a
transient environment employing nonlinear models. Model quality is crucial for achieving …
transient environment employing nonlinear models. Model quality is crucial for achieving …
Advanced neural network prediction and system identification of liquid-liquid flow patterns in circular microchannels with varying angle of confluence
MSG Nandagopal, E Abraham, N Selvaraju - Chemical Engineering …, 2017 - Elsevier
The flow pattern map for liquid-liquid system in a circular microchannel of 600 μm was
experimentally investigated for a varying confluence angle (10–170 degree) of inlet fluids …
experimentally investigated for a varying confluence angle (10–170 degree) of inlet fluids …
Column flotation simulation and control: An overview
J Bouchard, A Desbiens, R del Villar, E Nunez - Minerals Engineering, 2009 - Elsevier
Even after having been used for several years in mineral processing plants, the full potential
of the column flotation process is still not fully exploited. There is obviously more than one …
of the column flotation process is still not fully exploited. There is obviously more than one …