May 1, 2022

Mass & energy balance-assisted data-driven models.

In a 2022 publication in Computers and Chemical Engineering (see here), we used material and energy balances and the time-resolved temperature measurements to back-calculate the values of reaction rates assisted at different times during a set of batch polymerization runs. These back-calculated data of the reaction rates are used to estimate DRSM models. We can then optimize the batch process without the need for an explicit model of the polymerization rate.

Recent Posts

Mass & energy balance-assisted data-driven models.
May 1, 2022
In a 2022 publication in Computers and Chemical Engineering (see here), we used material and energy balances and the time-resolved temperature measurements to back-calculate the values of reaction
Read more
DRSM Models for Nonlinear MPC
September 10, 2021
In a 2021 paper presented at the 7th IFAC Conference on nonlinear MPC, we demonstrated how to use DRSM models to design nonlinear MPC controllers. This was an effort in collaboration with Prof.
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A great honor for one of our Ph.D. graduates
September 8, 2020
In the September issue of the CEP journal, the AIChE announced the selection of the winners of its 35 Under 35 Award winners. This award honors engineers under the age of 35 who have made
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Industrial DoDE Publication
August 11, 2020
A new publication details how the DoDe methodology can be used to optimize the operation of a batch polymerization process through the development of data-driven models. The publication at the Ind.
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New DRSM Publication
June 30, 2020
A new publication related to the Dynamic Response Surface Methodology (DRSM) has just been accepted. It introduces a new time sampling strategy for the estimation of accurate DRSM models.This
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