TY - GEN
T1 - Process system engineering (PSE)
T2 - Meet the Faculty Candidate Poster Session - Sponsored by the Education Division 2018 - Core Programming Area at the 2018 AIChE Annual Meeting
AU - Singh, Ravendra
N1 - Publisher Copyright: Copyright © American Institute of Chemical Engineers. All rights reserved.
PY - 2018
Y1 - 2018
N2 - My main research focus is process system engineering (PSE) and current application domain is continuous pharmaceutical and bio-pharmaceutical manufacturing. However, the PSE methods and tools that I developed are generic and can be applied to any manufacturing industries. Currently, pharmaceutical and bio-pharmaceutical industries are going through paradigm shift from conventional batch to continuous manufacturing process in which PSE can play a very significant role. Furthermore, there is a need of advanced modular continuous manufacturing platform technology for fast and robust development of pharmaceutical and bio-pharmaceutical products. Master formulations, process models, standardized sensing and control architecture, superior automation and novel methods and tools need to be developed to enable platform technology. This area of research and education are highly encouraged and supported by pharmaceutical and biopharmaceutical companies, academic institutions, regulatory authority (FDA) and national science foundation (NSF). In this work, a scientific foundation for the optimal design, optimization and control of the modular continuous process involving structured organic particulate systems has been developed. The mathematical models for continuous manufacturing of active pharmaceutical ingredients and final product tablet, has been developed for virtual experimentation and applied for plant design, optimization and control. The developed continuous tablet manufacturing plant and process model has been adapted by several pharmaceutical companies. A flexible monitoring and control system incorporating different PAT techniques and tools and control strategies for continuous pharmaceutical manufacturing process has been designed and implemented to Rutgers pilot-plant. Different control strategies such as PID, PID coupled with dead time compensator, and MPC has been compared and evaluated practically for pharmaceutical process control. A new hybrid MPC-PID control strategy has been developed and implemented into the pharmaceutical tablet manufacturing plant and its performance has been found better than the other control strategies. A novel RTD based control system has been developed and implemented into the pilot-plant. Novel sensing methods have been developed for real time measurements of powder density and powder level. Feedforward control system has been integrated with feedback control system to take proactive mitigation actions on raw materials and process variability. A moving horizon based Dynamic Real Time Optimization (MH-DRTO) method has been also developed to provides the optimal operational set points for the control system. The developed control architecture has been implemented into pilot-plant.
AB - My main research focus is process system engineering (PSE) and current application domain is continuous pharmaceutical and bio-pharmaceutical manufacturing. However, the PSE methods and tools that I developed are generic and can be applied to any manufacturing industries. Currently, pharmaceutical and bio-pharmaceutical industries are going through paradigm shift from conventional batch to continuous manufacturing process in which PSE can play a very significant role. Furthermore, there is a need of advanced modular continuous manufacturing platform technology for fast and robust development of pharmaceutical and bio-pharmaceutical products. Master formulations, process models, standardized sensing and control architecture, superior automation and novel methods and tools need to be developed to enable platform technology. This area of research and education are highly encouraged and supported by pharmaceutical and biopharmaceutical companies, academic institutions, regulatory authority (FDA) and national science foundation (NSF). In this work, a scientific foundation for the optimal design, optimization and control of the modular continuous process involving structured organic particulate systems has been developed. The mathematical models for continuous manufacturing of active pharmaceutical ingredients and final product tablet, has been developed for virtual experimentation and applied for plant design, optimization and control. The developed continuous tablet manufacturing plant and process model has been adapted by several pharmaceutical companies. A flexible monitoring and control system incorporating different PAT techniques and tools and control strategies for continuous pharmaceutical manufacturing process has been designed and implemented to Rutgers pilot-plant. Different control strategies such as PID, PID coupled with dead time compensator, and MPC has been compared and evaluated practically for pharmaceutical process control. A new hybrid MPC-PID control strategy has been developed and implemented into the pharmaceutical tablet manufacturing plant and its performance has been found better than the other control strategies. A novel RTD based control system has been developed and implemented into the pilot-plant. Novel sensing methods have been developed for real time measurements of powder density and powder level. Feedforward control system has been integrated with feedback control system to take proactive mitigation actions on raw materials and process variability. A moving horizon based Dynamic Real Time Optimization (MH-DRTO) method has been also developed to provides the optimal operational set points for the control system. The developed control architecture has been implemented into pilot-plant.
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M3 - Conference contribution
T3 - Meet the Faculty Candidate Poster Session - Sponsored by the Education Division 2018 - Core Programming Area at the 2018 AIChE Annual Meeting
SP - 399
EP - 401
BT - Meet the Faculty Candidate Poster Session - Sponsored by the Education Division 2018 - Core Programming Area at the 2018 AIChE Annual Meeting
PB - AIChE
Y2 - 28 October 2018 through 2 November 2018
ER -