Intelligent systems in process engineering: a review

Stephanopoulos, George; Han, Chonghun

doi:10.1016/0098-1354(95)00194-8

Cited by 152 publications

(76 citation statements)

References 276 publications

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“…Porém, importantes variáveis relacionadas à qualidade e à produtividade, como massa molar e composição do polímero e rendimento do processo, normalmente só podem ser medidas fora de linha, estando muitas vezes disponível apenas após horas ou até mesmo dias depois da amostragem [89] . Nesse contexto, o monitoramento e o diagnóstico da operação dos processos foram as principais causas que levaram ao desenvolvimento teórico e industrial de "sistemas inteligentes", que consistem na junção de técnicas computacionais, métodos matemáticos e estatísticos capazes de predizer de forma satisfatória o desempenho do processo [90,91] .…”

Section: Monitoramento De Reações De Polimerizaçãounclassified

Uma revisão sobre os processos de polimerização em suspensão

2007

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Resumo: Inúmeros processos podem ser utilizados para produção de materiais poliméricos. Cada processo apresenta características peculiares, que permitem produzir resinas com as mais variadas propriedades, visando a diferentes aplicações do material polimérico final. Os processos de polimerização em suspensão são bastante empregados para produção de resinas poliméricas por apresentarem muitas vantagens, como a facilidade de separação, fácil remoção de calor e controle de temperatura e, principalmente, pelos baixos níveis de impureza e de aditivação no produto final. Por isso, processos de polimerização em suspensão são apropriados para obtenção de produtos para aplicações biotecnológicas e médicas, dentre outras. O objetivo principal deste trabalho é apresentar uma discussão dos aspectos fundamentais inerentes aos processos de polimerização em suspensão, visando a uma compreensão do efeito das principais variáveis de processo sobre o desempenho de polimerizações em suspensão. Mostra-se também que a espectroscopia do infravermelho próximo (NIRS) pode ser muito útil para permitir o monitoramento e o controle em tempo real de processos de polimerização em suspensão, para a obtenção de materiais poliméricos com características especiais. Palavras-chave: Polimerização, suspensão, espectroscopia, infravermelho próximo. A Review on Suspension Polymerization ProcessesAbstract: Several processes can be employed for manufacturing polymer materials. Each process presents some intrinsic features that lead to production of resins with peculiar properties, which define the end-use application of the final polymeric material. Suspension polymerization processes are extensively used because of their many advantages, such as the easy separation of the polymer particles, easy removal of the heat of reaction, easy temperature control and low levels of impurities and additives in the final polymer material. For this reason, suspension polymerization processes are suitable to produce polymer resins for biotechnological and medical applications. The main objective of this work is to discuss the fundamental aspects of suspension polymerization processes, focusing upon the effects of the main process variables on the performance of suspension polymerizations. Additionally, it is shown that near infrared spectroscopy (NIRS) can be useful for monitoring and real time control of suspension processes, allowing for production of polymer beads with controlled morphology.

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Section: Monitoramento De Reações De Polimerizaçãounclassified

Uma revisão sobre os processos de polimerização em suspensão

2007

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“…Direct knowledge and transcendental knowledge have a better application in the existing EDSS, but the most difficult thing is to integrate data, information and knowledge from various information sources [17]. Therefore, in knowledge-based emergency decision support we should not only provide the decision-makers with direct knowledge and transcendental knowledge, but also integrate them effectively to reduce the pressure on decision-makers for improved decision-making.…”

Section: Fig 1 Sources Of Emergency Knowledgementioning

confidence: 99%

Agile Knowledge Supply Chain for Emergency Decision-Making Support

Wang

Rong

2007

Computational Science – ICCS 2007

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Abstract. Facing complex and changing emergencies decision makers need to obtain sufficient background knowledge to make effective decisions. We outline the characteristics of requirements for decision-making around knowledge sources, agility and the nature of knowledge products in quick responses to emergencies. We characterize the process of knowledge management in emergencies as quotation, manufacture and supply of a special product --Emergency Knowledge Product. From the point of view of achieving agility, we draw on the operational mechanism of the Agile Supply Chain (ASC) to construct Agile Knowledge Supply Chain (AKSC), a first in this paper. According to Similarities between ASC and AKSC, here we depict definition and architecture of AKSC. AKSC can explore a new approach to knowledge-based quick responses in the emergency decision-making support.

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“…In such cases, based on (the most frequent) the experimental data the Networks are "trained" by an appropriate algorithm to numerically solve the problem and find the appropriate input-output relationships. This enables one to numerically forecast the results, being the " simulated object's responses", for assumed, interesting input d ata-sets from the examined experimental range [e.g., Stephanopoulos and Han, (1996), Willis et al (1992)]. In the recent days the ANN has proved their usefulness within many different chemical engineering problems proved difficult for conventional modeling approaches, both applied independently [ e.g., Meert and Rijckaert (1998), Hoskins and Himmelblau (1988) ] or being an integral part of the complex hybrid models [e.g., Psichiogos and Ungar (1992), Thompson and Kramer (1994)].…”

Section: Iron Oxide Reduction Processmentioning

confidence: 99%

Simultaneous influence of gas mixture composition and process temperature on Fe2O3->FeO reduction kinetics: neural network modeling

Piotrowski

Wiltowski

Mondal

et al. 2005

Braz. J. Chem. Eng.

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-The kinetics of Fe 2 O 3 →FeO reaction was investigated. The thermogravimetric (TGA) data covered the reduction of hematite both by pure species (nitrogen diluted CO or H 2 ) and by their mixture. The conventional analysis has indicated that initially the reduction of hematite is a complex, surface controlled process, however once a thin layer of lower oxidation state iron oxides (magnetite, wüstite) is formed on the surface, it changes to diffusion control. Artificial Neural Network (ANN) has proved to be a convenient tool for modeling of this complex, heterogeneous reaction runs within the both (kinetic and diffusion) regions, correctly considering influence of temperature and gas composition effects and their complex interactions. ANN's model shows the capability to mimic some extreme (minimum) of the reaction rate within the determined temperature window, while the Arrhenius dependency is of limited use.

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Intelligent systems in process engineering: a review

Cited by 152 publications

References 276 publications

Uma revisão sobre os processos de polimerização em suspensão

Uma revisão sobre os processos de polimerização em suspensão

Agile Knowledge Supply Chain for Emergency Decision-Making Support

Simultaneous influence of gas mixture composition and process temperature on Fe2O3->FeO reduction kinetics: neural network modeling

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