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Dive into the research topics where N. Ghadipasha is active.

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Featured researches published by N. Ghadipasha.


Computer-aided chemical engineering | 2016

First Steps towards Online Optimal Control of Molecular Weight in Batch and Semi-batch Free-Radical Polymerization Reactors

N. Ghadipasha; A. Geraili; Jose A. Romagnoli; C. Castor; Wayne F. Reed

Abstract This paper discusses the first steps towards the formulation and implementation of a generic and flexible model centric framework for integrated simulation, estimation, optimization and feedback control of polymerization systems. Off-line capabilities of the framework were fully tested experimentally for model validations, parameter estimation as well as for process optimization using the Automatic Continuous Online Monitoring of Polymerization reactions (ACOMP). A brief analysis on the controllability of the system under feedback conditions was also performed through a combination of simulation and experimental runs. Results are provided for free radical solution polymerization of methyl methacrylate system (MMA).


Computer-aided chemical engineering | 2015

A real time particle size control framework in non-isothermal antisolvent crystallization processes

N. Ghadipasha; Stefania Tronci; Roberto Baratti; Jose A. Romagnoli

Abstract This paper focuses on the design and implementation of on-line optimal control strategies of crystal properties for non-isothermal antisolvent crystallization processes. The one-dimensional Fokker-Planck equation (FPE) is used to represent the dynamic characteristics of the crystal growth and to generate iso-mean and iso-standard deviation curves. Using controllability tools it is shown that the system is ill conditioned in the operational range, posing limitations on the achievable control performance. A novel digital image texturing analysis approach is implemented to track crystal’s size distribution along the experiment, thus providing the on-line information for further feedback control action. Subsequently, alternative control strategies are implemented and tested to achieve a desired crystal size distribution (CSD).


Archive | 2017

Online DEKF for State Estimation in Semi-Batch Free-Radical Polymerization Reactors

S. D. Salas; N. Ghadipasha; Wenbo Zhu; Jose A. Romagnoli; Terry McAfee; Wayne F. Reed

Abstract In this work, a dynamic filter for nonlinear systems is implemented for on-line sate estimation, dynamic data reconciliation, molar mass distribution (MMD) monitoring, and feedback control of polymerization processes. A discrete-time extended Kalman filter (DEKF) is designed for a free-radical polymerization reaction that synthetizes polyacrylamide using potassium persulfate as initiator in a semi-batch reactor. For improving the performance of the filter, its free parameters are tuned using a metaheuristic technique. The Automatic Continuous Online Monitoring of Polymerization reactions (ACOMP) is used for obtaining online measurement values in various experiments. Total moles of monomer, initiator and solvent and the corresponding moments of the dead polymers are estimated by the DEKF using weight average molecular weight, monomer concentration and reactor volume as real-time measurements. State estimation permits to estimate polymer properties that cannot be measured directly while reconciling measured values. A tailor made filter/controller module is formulated and implemented in Python environment supporting multiple programming paradigms such as object-oriented and functional programming styles.


Chemical engineering transactions | 2015

A deterministic formulation and on-line monitoring technique for the measurement of salt concentration in non-isothermal antisolvent crystallization processes

N. Ghadipasha; Roberto Baratti; Stefania Tronci; Jose A. Romagnoli

A complete framework to measure and anticipate the salt concentration during crystallization process is presented. On-line monitoring of the solute concentration based on conductivity of the solution is implemented. The conductivity of the dissolved compound is dependent on its concentration in the solvent and temperature. Therefore, a calibration test is applied and an experimental exponential model of concentration as a function of conductivity is developed in the whole operating range of antisolvent feed rate and temperature. A deterministic model which can predict the behaviour of the amount of salt with respect to the crystal growth parameter is introduced. To validate the model and assess the merits of the proposed strategy, the crystallization of sodium chloride in water using ethanol as antisolvent is performed in an experimental bench-scale semi-batch crystallizer.


Processes | 2016

Combining On-Line Characterization Tools with Modern Software Environments for Optimal Operation of Polymerization Processes

N. Ghadipasha; A. Geraili; Jose A. Romagnoli; Carlos Castor; Michael F. Drenski; Wayne F. Reed


Industrial & Engineering Chemistry Research | 2017

Online Optimal Feedback Control of Polymerization Reactors: Application to Polymerization of Acrylamide–Water–Potassium Persulfate (KPS) System

N. Ghadipasha; Wenbo Zhu; Jose A. Romagnoli; Terry McAfee; Thomas Zekoski; Wayne F. Reed


Aiche Journal | 2015

On-line control of crystal properties in nonisothermal antisolvent crystallization

N. Ghadipasha; Jose A. Romagnoli; Stefania Tronci; Roberto Baratti


Control Engineering Practice | 2018

Framework design for weight-average molecular weight control in semi-batch polymerization

S. D. Salas; N. Ghadipasha; Wenbo Zhu; Terry McAfee; Thomas Zekoski; Wayne F. Reed; Jose A. Romagnoli


Chemical Engineering Science | 2018

A Model-Based Approach for Controlling Particle Size Distribution in Combined Cooling-Antisolvent Crystallization Processes

N. Ghadipasha; Jose A. Romagnoli; Stefania Tronci; Roberto Baratti


Chemical engineering transactions | 2017

On-line Model-based Control of Crystal Size Distribution in Cooling-antisolvent Crystallization Processes

N. Ghadipasha; Ja Romagnoli; Stefania Tronci; Roberto Baratti

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Jose A. Romagnoli

Louisiana State University

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A. Geraili

Louisiana State University

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Wenbo Zhu

Louisiana State University

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S. D. Salas

Louisiana State University

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