Industrial Informatics I

Code:

EQ0097

Acronym:

II I

Keywords
Classification	Keyword
OFICIAL	Technological Sciences (Chemical Engineering)

Instance: 2019/2020 - 2S

Active?	Yes
Responsible unit:	Department of Chemical Engineering
Course/CS Responsible:	Master in Chemical Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEQ	27	Syllabus	4	-	6	56	162

Teaching language

Suitable for English-speaking students

Objectives

To provide theoretical and applied knowledge on modelling and simulation methodologies for the design and operation of industrial processes. In particular:

• Strengthening of computer programming competencies.
• Application of methodologies for process modelling and simulation.
• Training in CFD – Computational Fluid Dynamics.

 

Learning outcomes and competences

Identification and application of modelling and simulation methodologies for the study of industrial processes.

Use of CFD tools for process analysis, design and control.

Use of ANSYS/FLUENT for solving transport and reaction problems.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Basic knowledge on computer programing and transport phenomena.

Program

1. Modelling and Simulation

•  Continuous and discrete models; examples.

•  Numerical methods for solution of partial differential equations.

 2. Introduction to CFD

•  Numerical principles of CFD.

•  Process modelling and simulationusing CFD.

3. Training in ANSYS/FLUENT

•  ANSYS/WORKBENCH: Development of simulation problems using CFD.

•  ANSYS/DESIGN MODELLER: Development of geometrical models for process equipment’s.

•  ANSYS/FLUENT: Simulation of transport, heat transfer and chemical reaction in an industrial reactor.

 

Mandatory literature

H. K. Versteeg; An introduction to computational fluid dynamics. ISBN: 0-582-21884-5
Steven C. Chapra, Raymond P. Canale; Numerical methods for engineers. ISBN: 978-007-126759-5
John D. Anderson, Jr; Computational fluid dynamics. ISBN: 0-07-113210-4

Teaching methods and learning activities

Classes will be based on the presentation of the theoretical themes of the course unit, and on problem solving.

Software

Ansys Academic Research CFD

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	10,00
Teste	50,00
Trabalho escrito	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	60,00
Frequência das aulas	52,00
Trabalho escrito	48,00
Total:	160,00

Eligibility for exams

Max. of 25% of absences in classes, according to current regulations of FEUP.

Calculation formula of final grade

10% Personnal Evaluation + 10% Midterm test + 40% Final test + 40% Written project

Special assessment (TE, DA, ...)

Realização de exame incluindo o desenvolvimento de um projeto de modelização e simulação usando ANSYS/WORKBENCH/DESIGN MODELLER/FLUENT (50%). Written report regarding a specific CFD project (50%).

Classification improvement

Realização de exame incluindo o desenvolvimento de um projeto de modelização e simulação usando ANSYS/WORKBENCH/DESIGN MODELLER/FLUENT (50%). Written report regarding a specific CFD project (50%).