1
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Vasilas N, Papadopoulos AI, Papadopoulos L, Salamanis A, Kazepidis P, Soudris D, Kehagias D, Seferlis P. Approximate computing, skeleton programming and run-time scheduling in an algorithm for process design and controllability in distributed and heterogeneous infrastructures. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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2
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Iftakher A, Liñán DA, Mansouri SS, Nahid A, Hasan MF, Choudhury MAAS, Ricardez-Sandoval LA, Lee JH. RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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3
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Andrés‐Martínez O, Ricardez‐Sandoval LA. Integration of planning, scheduling, and control: A review and new perspectives. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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4
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Palma-Flores O, Ricardez-Sandoval LA. Integration of design and NMPC-based control for chemical processes under uncertainty: An MPCC-based framework. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107815] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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5
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Andrés‐Martínez O, Palma‐Flores O, Ricardez‐Sandoval LA. Optimal control and the Pontryagin's principle in chemical engineering: History, theory and challenges. AIChE J 2022. [DOI: 10.1002/aic.17777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
| | - Oscar Palma‐Flores
- Department of Chemical Engineering University of Waterloo Waterloo Ontario Canada
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6
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Illner M, Kozachynskyi V, Esche E, Repke JU. Fast-track realization of reactive microemulsion systems – Systematic system analysis and tailored application of PSE methods. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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7
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Rodríguez Vera HU, Ricardez-Sandoval LA. Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.1c04386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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8
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Zhang X, Chen H, Cui C, Sun J. Controllability assessment and intentional operation of extractive distillation configurations with preconcentration. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2021.120389] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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9
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Calvo F, Gómez JM, Alvarez O, Ricardez-Sandoval L. Trends and perspectives on emulsified product design. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2021.100745] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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10
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Andrés‐Martínez O, Ricardez‐Sandoval LA. A nested online scheduling and nonlinear model predictive control framework for multi‐product continuous systems. AIChE J 2022. [DOI: 10.1002/aic.17665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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11
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Investigating the Trade-Off between Design and Operational Flexibility in Continuous Manufacturing of Pharmaceutical Tablets: A Case Study of the Fluid Bed Dryer. Processes (Basel) 2022. [DOI: 10.3390/pr10030454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Market globalisation, shortened patent lifetimes and the ongoing shift towards personalised medicines exert unprecedented pressure on the pharmaceutical industry. In the push for continuous pharmaceutical manufacturing, processes need to be shown to be agile and robust enough to handle variations with respect to product demands and operating conditions. In this paper we examine the use of operational envelopes to study the trade-off between the design and operational flexibility of the fluid bed dryer at the heart of a tablet manufacturing process. The operating flexibility of this unit is key to the flexibility of the full process and its supply chain. The methodology shows that for the fluid bed dryer case study there is significant effect on flexibility of the process at different drying times with the optimal obtained at 700s. The flexibility is not affected by the change in volumetric flowrate, but only by the change in temperature. Here the method used a black box model to show how it could be done without access to the full model equation set, as this often needs to be the case in commercial settings.
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12
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Rangel-Martinez D, Nigam K, Ricardez-Sandoval LA. Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.08.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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13
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Franzoi RE, Menezes BC, Kelly JD, Gut JA. A moving horizon rescheduling framework for continuous nonlinear processes with disturbances. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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14
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Zhang H, Wang F, Li K, Zou G, Zhao L. A two‐layer chance‐constrained optimization model for a thickening‐dewatering process with uncertain variables. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.24298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Hualu Zhang
- College of Information Science and Engineering Northeastern University Liaoning China
| | - Fuli Wang
- College of Information Science and Engineering Northeastern University Liaoning China
- State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning China
| | - Kang Li
- College of Information Science and Engineering Northeastern University Liaoning China
| | - Guobin Zou
- State Key Laboratory of Process Automation in Mining and Metallurgy/Beijing Key Laboratory of Process Automation in Mining and Metallurgy Research Beijing China
| | - Luping Zhao
- College of Information Science and Engineering Northeastern University Liaoning China
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15
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Patilas CS, Kookos IK. Algorithmic Approach to the Simultaneous Design and Control Problem. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Christos S. Patilas
- Department of Chemical Engineering, University of Patras, Rio, Patras 26504, Greece
- Research Infrastructure for Waste Valorization and Sustainable Management of Resources, University of Patras, Rio, Patras 26504, Greece
| | - Ioannis K. Kookos
- Department of Chemical Engineering, University of Patras, Rio, Patras 26504, Greece
- Research Infrastructure for Waste Valorization and Sustainable Management of Resources, University of Patras, Rio, Patras 26504, Greece
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16
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Miao A, Cheng Z, Li P, Cui H, Liu S, Wu H. Locality‐preserving data modelling and its application in fault classification. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.24149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Aimin Miao
- College of Automation Zhongkai University of Agriculture and Engineering Guangzhou China
| | - Zhishang Cheng
- College of Automation Zhongkai University of Agriculture and Engineering Guangzhou China
| | - Peng Li
- Department of Electronic Engineering, School of Information Yunnan University Kunming China
| | - Huawei Cui
- College of Agriculture and Biology Zhongkai University of Agriculture and Engineering Guangzhou China
| | - Sitong Liu
- Department of Mathematical and Computational Sciences University of Toronto Toronto Ontario Canada
| | - Hong Wu
- School of Information Engineering Qujing Normal University Qujing China
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17
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Iftakher A, Mansouri SS, Nahid A, Tula AK, Choudhury MAAS, Lee JH, Gani R. Integrated design and control of reactive distillation processes using the driving force approach. AIChE J 2021. [DOI: 10.1002/aic.17227] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Ashfaq Iftakher
- Department of Chemical Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh
| | - Seyed Soheil Mansouri
- Department of Chemical and Biochemical Engineering Technical University of Denmark Lyngby Denmark
| | - Ahaduzzaman Nahid
- Department of Chemical Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh
| | - Anjan K. Tula
- College of Control Science and Engineering Zhejiang University Hangzhou China
| | - M. A. A. Shoukat Choudhury
- Department of Chemical Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh
| | - Jay Hyung Lee
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea
| | - Rafiqul Gani
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea
- PSE for SPEED Company Allerod Denmark
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18
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Cao J, He Y, Zhu Q. Solutions selection based on the
P
‐graph integrated data envelopment analysis for material scheduling in the ethylene production. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.23955] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Jian Cao
- College of Information Science & Technology Beijing University of Chemical Technology Beijing China
- Engineering Research Center of Intelligent PSE Ministry of Education of China Beijing China
| | - Yanlin He
- College of Information Science & Technology Beijing University of Chemical Technology Beijing China
- Engineering Research Center of Intelligent PSE Ministry of Education of China Beijing China
| | - Qunxiong Zhu
- College of Information Science & Technology Beijing University of Chemical Technology Beijing China
- Engineering Research Center of Intelligent PSE Ministry of Education of China Beijing China
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19
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Pappas I, Kenefake D, Burnak B, Avraamidou S, Ganesh HS, Katz J, Diangelakis NA, Pistikopoulos EN. Multiparametric Programming in Process Systems Engineering: Recent Developments and Path Forward. FRONTIERS IN CHEMICAL ENGINEERING 2021. [DOI: 10.3389/fceng.2020.620168] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The inevitable presence of uncertain parameters in critical applications of process optimization can lead to undesirable or infeasible solutions. For this reason, optimization under parametric uncertainty was, and continues to be a core area of research within Process Systems Engineering. Multiparametric programming is a strategy that offers a holistic perspective for the solution of this class of mathematical programming problems. Specifically, multiparametric programming theory enables the derivation of the optimal solution as a function of the uncertain parameters, explicitly revealing the impact of uncertainty in optimal decision-making. By taking advantage of such a relationship, new breakthroughs in the solution of challenging formulations with uncertainty have been created. Apart from that, researchers have utilized multiparametric programming techniques to solve deterministic classes of problems, by treating specific elements of the optimization program as uncertain parameters. In the past years, there has been a significant number of publications in the literature involving multiparametric programming. The present review article covers recent theoretical, algorithmic, and application developments in multiparametric programming. Additionally, several areas for potential contributions in this field are discussed, highlighting the benefits of multiparametric programming in future research efforts.
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20
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Patilas CS, Kookos IK. A quadratic approximation of the back-off methodology for the control structure selection problem. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107114] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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21
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Rafiei M, Ricardez-Sandoval LA. Integration of design and control for industrial-scale applications under uncertainty: a trust region approach. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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22
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Nielsen RF, Nazemzadeh N, Sillesen LW, Andersson MP, Gernaey KV, Mansouri SS. Hybrid machine learning assisted modelling framework for particle processes. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106916] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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23
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Calvo F, Gómez JM, Ricardez-Sandoval L, Alvarez O. Integrated design of emulsified cosmetic products: A review. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2020.07.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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24
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de Carvalho RF, Alvarez LA. Simultaneous Process Design and Control of the Williams–Otto Reactor Using Infinite Horizon Model Predictive Control. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c01953] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Romero F. de Carvalho
- School of Chemical Engineering, University of Campinas, UNICAMP, 13083-852, Campinas-SP, Brazil
| | - Luz A. Alvarez
- School of Chemical Engineering, University of Campinas, UNICAMP, 13083-852, Campinas-SP, Brazil
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25
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Burnak B, Pistikopoulos EN. Integrated process design, scheduling, and model predictive control of batch processes with closed‐loop implementation. AIChE J 2020. [DOI: 10.1002/aic.16981] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Baris Burnak
- Artie McFerrin Department of Chemical Engineering Texas A&M University College Station Texas USA
- Texas A&M Energy Institute Texas A&M University College Station College Station Texas USA
| | - Efstratios N. Pistikopoulos
- Artie McFerrin Department of Chemical Engineering Texas A&M University College Station Texas USA
- Texas A&M Energy Institute Texas A&M University College Station College Station Texas USA
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26
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Romero-García AG, Prado-Rúbio OA, Contreras-Zarazúa G, Ramírez-Márquez C, Ramírez-Prado JH, Segovia-Hernández JG. Simultaneous Design and Controllability Optimization for the Reaction Zone for Furfural Bioproduction. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02261] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
| | - Oscar Andrés Prado-Rúbio
- Departamento de Ingeniería Química, Universidad Nacional de Colombia, Km 9 vía al Aeropuerto La Nubia, Campus La Nubia, Bloque L, Manizales, Caldas, 170001 Colombia
| | | | - César Ramírez-Márquez
- Chemical Engineering Department, University of Guanajuato, Campus Guanajuato, Gto., México, 36005
| | - Jorge Humberto Ramírez-Prado
- Centro de Investigación Científica de Yucatán, A. C., Unidad de Biotecnología, Calle 43 No. 130, Colonia Chuburná de Hidalgo, CP 97200, Mérida, Yucatán, México
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27
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Harjunkoski I, Ikonen T, Mostafaei H, Deneke T, Heljanko K. Synergistic and Intelligent Process Optimization: First Results and Open Challenges. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02032] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Iiro Harjunkoski
- Aalto University, Department of Chemical and Metallurgical Engineering, P.O. Box
16100, 00076 Aalto, Finland
- Hitachi ABB Power Grids Research, Kallstadter Straße 1, 68309 Mannheim, Germany
| | - Teemu Ikonen
- Aalto University, Department of Chemical and Metallurgical Engineering, P.O. Box
16100, 00076 Aalto, Finland
| | - Hossein Mostafaei
- Aalto University, Department of Chemical and Metallurgical Engineering, P.O. Box
16100, 00076 Aalto, Finland
| | - Tewodros Deneke
- University of Helsinki, Department of Computer Science, P.O. Box 68, 00014 Helsinki, Finland
| | - Keijo Heljanko
- University of Helsinki, Department of Computer Science, P.O. Box 68, 00014 Helsinki, Finland
- Helsinki Institute for Information Technology (HIIT), 00014 Helsinki, Finland
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28
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Rafiei M, Ricardez‐Sandoval LA. A trust‐region framework for integration of design and control. AIChE J 2020. [DOI: 10.1002/aic.16922] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Mina Rafiei
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Canada
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29
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Integrating Feedback Control and Run-to-Run Control in Multi-Wafer Thermal Atomic Layer Deposition of Thin Films. Processes (Basel) 2019. [DOI: 10.3390/pr8010018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
There is currently a lack of understanding of the deposition profile in a batch atomic layer deposition (ALD) process. Also, no on-line control scheme has been proposed to resolve the prevalent disturbances. Motivated by this, we develop a computational fluid dynamics (CFD) model and an integrated online run-to-run and feedback control scheme. Specifically, we analyze a furnace reactor for a SiO2 thin-film ALD with BTBAS and ozone as precursors. Initially, a high-fidelity 2D axisymmetric multiscale CFD model is developed using ANSYS Fluent for the gas-phase characterization and the surface thin-film deposition, based on a kinetic Monte-Carlo (kMC) model database. To deal with the disturbance during reactor operation, a proportional integral (PI) control scheme is adopted, which manipulates the inlet precursor concentration to drive the precursor partial pressure to the set-point, ensuring the complete substrate coverage. Additionally, the CFD model is utilized to investigate a wide range of operating conditions, and a regression model is developed to describe the relationship between the half-cycle time and the feed flow rate. A run-to-run (R2R) control scheme using an exponentially weighted moving average (EWMA) strategy is developed to regulate the half-cycle time for the furnace ALD process between batches.
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Valdez-Navarro YI, Ricardez-Sandoval LA. A Novel Back-off Algorithm for Integration of Scheduling and Control of Batch Processes under Uncertainty. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b04963] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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