Optimization of chemical engineering problems with EMSO software

Henrique, João; Sousa, Ruy; Secchi, Argimiro Resende; Ravagnani, Mauro A.S.S.; Costa, Caliane Bastos Borba

doi:10.1002/cae.21867

Cited by 11 publications

(3 citation statements)

References 28 publications

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“…The development of computational modules for courses in the areas of process control, process optimization, and experimental methods by utilizing a combination of commercial and open-source software tools were also discussed [ 31 ]. In Brazil, some examples include the development of digital tools for designing ideal chemical reactors [ 25 ], optimization of traditional manufacturing problems with mixed-integer programming formulations [ 26 ], and the deployment of other tools for optimization and design of chemical engineering systems [ 15 , 29 ]. Throughout these developments, varying levels of coding experience are required for the students enrolled in the corresponding course.…”

Section: Introductionmentioning

confidence: 99%

“…Throughout these developments, varying levels of coding experience are required for the students enrolled in the corresponding course. The focus in these efforts is on the development of teaching software or digital tools where the user is not required to have prior coding experience [ 25 ], to have little coding experience [ 26 ], or to have high levels of coding competency [ 15 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

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Using PharmaPy with Jupyter Notebook to teach digital design in pharmaceutical manufacturing

Laky

Casas-Orozco

Abdi

et al. 2023

Comp Applic In Engineering

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The use of digital tools in pharmaceutical manufacturing has gained traction over the past two decades. Whether supporting regulatory filings or attempting to modernize manufacturing processes to adopt new and quickly evolving Industry 4.0 standards, engineers entering the workforce must exhibit proficiency in modeling, simulation, optimization, data processing, and other digital analysis techniques. In this work, a course that addresses digital tools in pharmaceutical manufacturing for chemical engineers was adjusted to utilize a new tool, PharmaPy, instead of traditional chemical engineering simulation tools. Jupyter Notebook was utilized as an instructional and interactive environment to teach students to use PharmaPy, a new, open‐source pharmaceutical manufacturing process simulator. Students were then surveyed to see if PharmaPy was able to meet the learning objectives of the course. During the semester, PharmaPy's model library was used to simulate both individual unit operations as well as multiunit pharmaceutical processes. Through the initial survey results, students indicated that: (i) through Jupyter Notebook, learning Python and PharmaPy was approachable from varied coding experience backgrounds and (ii) PharmaPy strengthened their understanding of pharmaceutical manufacturing through active pharmaceutical ingredient process design and development.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using PharmaPy with Jupyter Notebook to teach digital design in pharmaceutical manufacturing

Laky

Casas-Orozco

Abdi

et al. 2023

Comp Applic In Engineering

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show abstract

“…Tabela 2: Artigos Internacionais e Nacionais mais relevantes segundo método inOrdinatio (Etapa 2) Martín-Gutiérrez et al (2015). descreveram sobre o desenvolvimento de ferramentas de realidade aumentada em disciplinas da Engenharia Elétrica com foco em facilitar o compartilhamento de experiências e fomentando uma forma de ensino mais autônomo Henrique et al (2018). demonstraram a versatilidade do software EMSO, comumente utilizado como um simulador de processo orientado a equações, mas que no estudo dos autores transformou-se em uma ferramenta para a otimização e solução de problemas complexos de Engenharia Química.…”

unclassified

Análise bibliométrica sobre o uso de aplicativos e tecnologias móveis no ensino dos processos de separação na Engenharia Química

Freitas

Santos

2021

RSD

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O crescimento tecnológico desafia a sociedade na busca contínua por melhorias em seus processos, seja em atividades pessoais, econômicas ou industriais. É inegável o valor agregado que as tecnologias fornecem em nosso cotidiano. Contudo, uma análise de como obter o máximo proveito dessas ferramentas e suas possibilidades faz-se necessária. No âmbito do ensino, o uso de tecnologias digitais ainda se encontra em estágio embrionário, visto que muitas estruturas educacionais rejeitam o seu uso por não saberem como lidar com essas transformações para validar o aprendizado ou obter maior motivação e engajamento dos alunos. Dentro do contexto do ensino das Engenharias, principalmente em atividades de disciplinas que envolve projeto e cálculos, como as operações unitárias e processos de separação de misturas da Engenharia Química (assunto tão importante para o mercado de trabalho por compor os processos produtivos das indústrias químicas), é preciso reformular a estrutura teórica das universidades para melhor uso das ferramentas digitais, como ambientes de simulação, laboratórios virtuais e aplicativos móveis, em um ensino baseado em projetos, fomentando a proatividade e protagonismo dos alunos na busca pelo conhecimento, transformando assim o professor em um orientador, um guia durante esse processo.

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Development of an educational tool aimed at designing ideal chemical reactors

Sawaki

Tannous

Filho

2020

Comp Applic In Engineering

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This project aims at developing an educational tool, named REAJA, for simulating ideal chemical reactors according to the continuous stirred‐tank reactor, plug flow reactor, and batch reactors. The software was developed using the Python programming language, following the Agile methodology and test‐driven development. It has a main interface that introduces the objective and its functionalities through the images, texts, and buttons for three reactor modules: isothermic, adiabatic, and with the thermal exchange. Initial concentration, equilibrium constant, and reaction rate constant can also be calculated by specific modules. We present the results in a separate screen containing comparative graphs of concentration, temperature, and conversion, allowing the user to choose the best option among the simulated reactors. The software Aspen Plus and Excel/Runge–Kutta fourth‐order method was applied to verification testing with REAJA obtaining <5% and 10–90%, respectively. The last case could be justified by the simplifications made for educational purposes. Finally, the software was applied at the minicourse of the 21st week of Chemical Engineering of UNICAMP and in the undergraduate course of Topics in Chemical Processes with problem‐based learning methodology. We use a questionnaire to validate the usefulness of our software, which results are promising and indicate the success of our educational tool as a complement in the classroom since it facilitated the understanding of contents related to kinetics, thermodynamics, and chemical reactors.

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Optimization of chemical engineering problems with EMSO software

Cited by 11 publications

References 28 publications

Using PharmaPy with Jupyter Notebook to teach digital design in pharmaceutical manufacturing

Using PharmaPy with Jupyter Notebook to teach digital design in pharmaceutical manufacturing

Análise bibliométrica sobre o uso de aplicativos e tecnologias móveis no ensino dos processos de separação na Engenharia Química

Development of an educational tool aimed at designing ideal chemical reactors

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