Browsing by Author "Kravaris, Costas"
Now showing items 1-20 of 31
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Wang, Jingyao (2020-04-01)Many batch-wise pharmaceutical intermediate synthesis reactions, for example, alkylpyridine N-oxide synthesis reaction, are highly exothermic with significant risk of thermal runaway leading to multiple incidents in the ...
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Katz, Justin (2020-02-21)Model predictive control provides the optimal operation for chemical processes by explicitly accounting for the system, constraints, and costs. In an online setting, developing the implicit optimal control action under ...
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Botre, Chiranjivi Chandrakant (2019-08-29)Fault detection and isolation techniques are important aspects in the chemical industry to ensure safe and proper operation. Some industrial processes are complex, and it is difficult to have an accurate mathematical model ...
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Bhadriraju Venkata Naga Sai, Bhavana (2023-06-28)Chemical processes are complex and often characterized by nonlinearity, time-variation, and uncertainty. As a result, data-driven modeling approaches have gained widespread popularity in industry and academia for modeling ...
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Yu, Mengxi (2021-05-20)Most incidents in complex systems such as process plants follow incubation periods where weak signals exist for a long time. It is necessary to identify and resolve weak signals to prevent incidents proactively. Since “weak ...
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Shah, Parth J (2021-11-30)Bio-fermentation process is difficult to model given its use of living micro-organisms to produce useful products via complex reaction mechanisms. Their kinetics are hard to characterize; hence, approximate formulations ...
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Bangi, Mohammed Saad Faizan (2022-06-03)Recently, there has been growing interest in data-based modeling as the amount of data available has increased tremendously. One such method is Dynamic Mode Decomposition with Control technique, which builds temporally ...
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Shah, Utkarsh Dinesh (2017-07-21)In practice, the uncertainty in processing time data frequently affects the feasibility of optimal solution of the nominal production scheduling problem. Using the unit-specific event-based continuous time model for ...
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Integration of Process Design, Scheduling, and Control Via Model Based Multiparametric Programming Burnak, Baris (2020-07-28)The conventional approach to assess the multiscale operational activities sequentially often leads to suboptimal solutions and even interruptions in the manufacturing process due to the inherent differences in the objectives ...
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Cao, Kaiyu (2022-06-03)Unconventional shale gas production in the United States has been largely improved due to the development of hydraulic fracturing technology. However, the shale gas production system is generally complex; further, such ...
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Hu, Pingfan (2023-03-01)Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that can automatically learn from data and can perform tasks such as predictions for decision-making. Interdisciplinary studies ...
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Machine Learning Based Prediction Models for Flammability Characteristics in the Chemical Industry Li, Chi-Yang (2022-12-13)The prediction models based on Quantitative Structure-Property Relationship (QSPR) and machine learning have been widely applied in the research. Flammability characteristics are critical information for the chemical ...
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Bhadriraju Venkata Naga Sai, Bhavana (2020-04-02)Recently, sparse identification of nonlinear dynamics (SINDy) has delivered promising results in identifying interpretable models using data for various process systems. However, SINDy cannot completely comprehend the ...
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Demirel, Salih Emre (2020-07-27)Process intensification (PI) addresses the development of new equipment and processing techniques resulting in substantially smaller, cleaner, safer, and more energy-efficient technologies. It is a novel design concept ...
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Duan, Zhaoyang (2019-11-25)A two-time-scale system demonstrates both fast and slow dynamic properties. Modeling this type of system sometimes does not only introduce unnecessary extra orders, but also poses challenges to process simulations due to ...
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Pan, Xinghua (2016-11-18)The measurement of process states is critical for process monitoring, advanced process control, and process optimization. For chemical processes where state information cannot be measured directly, techniques such as state ...
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Siddhamshetty, Prashanth Kumar (2020-01-29)In hydraulic fracturing, the proppant-filled fracture length at the end of pumping strongly influences the fluid conductivity of natural oil and gas. Therefore, it is very important to regulate proppant bank height and ...
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Ling, Chen (2019-03-21)Very often, critical quantities related to safety, product quality and economic performance of a chemical process cannot be measured on line. In an attempt to overcome the challenges caused by inadequate on-line measurements, ...
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Liu, Guanyang (2022-05-25)This dissertation work aims to develop a model-based design framework for the reaction inhibition technique as a promising emergency response measure against thermal runaway in process industry. This is achieved through ...
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Choi, Hyun Kyu (2021-11-18)Contrary to common expectations, global paper production volume has been growing since 2009 due to the increased demand for packaging papers. Although the PPI is utilizing a large portion of overall wood consumption, there ...