Programmes
Doctoral Program in Mechanical Engineering
General information
| Official Code: | 5143 |
| Acronym: | PRODEM |
| Description: | The Mechanical Engineering doctoral programme (PRODEM) of the Faculdade de Engenharia da Universidade do Porto – FEUP trains leaders in Mechanical Engineering through high level research. It benefits from the tradition of Mechanical Engineering research and education at FEUP and was recently reformatted as a consequence of the Bologna process, also including a component of lectures further to the main activity ‐ research. Mechanical Engineering R&D at FEUP is carried out in a variety of contexts, particularly R&D Units recognized by the Portuguese Fundação para a Ciência e Tecnologia, based at FEUP itself or in R&D institutes associated to FEUP, such as INEGI. As one of the senior Engineering specialties, Mechanical Engineering represents a vast area of knowledge, permanently rejuvenated through the appearance of new fields of interest and new increasingly powerful numerical and experimental tools. |
Certificates
- Doctorate in Mechanical Engineering (180 ECTS credits)
- Advanced Studies (3rd cycle) in Mechanical Engineering (60 ECTS credits)
Courses Units
Seminar
Prepare the research activities that will lead to the PhD, in particular: achieve a good understanding of the state of the art in the subject of the thesis; develop preliminary studies related to the subject of the thesis; delineate the plan of the work to be carried out until the presentation of the doctoral thesis.
Bio Mechanics
To provide guidance and help in the study of biomechanics, applying the concepts of mechanical engineering in the analysis of different organs and biological tissues that make up living organisms.
Complements of Finite Elements
Advanced Kownledge of the Finite Element Method. A programing work will be performed using Matlab or using ABAQUS.
Control of Non-Linear Systems
Specific objectives:
To present an overview of some of the actual trends on non-linear systems control. Several control strategies enabling to circumvent process modelling uncertainties as well as to balance stability with performance are analysed.
Structural Dynamics
Non-linear Dynamics
Teach fundamental aspects of the theory of non-linear dynamical systems, as well as methodologies for their numerical and experimental analysis. The theory has applications in a wide number of fields, but emphasis will be given to mechanical systems.
Fatigue and Fracture Mechanics
This course aims to acquaint students with concepts and techniques for the structural integrity assessment of mechanical constructions in the presence of cracks. The course is relevant for the design of equipment taking into account fatigue and for the interpretation of the causes of structural failure (“failure analysis”). By the end of the semester, students should be capable of:
- selecting procedures to assess the structural integrity of mechanical components, structures, and structural connections with cracks;
- coordinating the analysis of the causes by fracture and fatigue in real cases;
- to understand the relevant technical literature, including standards, codes, and parts of standards and of codes associated with fracture and fatigue.
Structural Adhesive Joints
Specific aims
1. Inform the mechanical engineers and related areas about the innovative technique of adhesive bonding;
2. Provide an extensive knowledge about the technology of adhesive bonding;
3. Increase the application of adhesive bonding in the Portuguese industry.
Learning outcomes
1. Know the different types of adhesives;
2. Know how to select adhesives for different applications;
3. Know how to prepare, manufacture and design adhesive joints;
4. Demonstrate knowledge in the use of adhesives in the industry.
Composite Laminates
The main objective of this discipline is to put students in contact with manufacturing processes, mechanical characterization and application of composite laminates.
Composite Materials
Contact Mechanics and Lubrication
Behaviour and Design of lubricated mechanical components under contact - Gears, Rolling Bearings, Cams.
Advanced Fluid Dynamics
Knowing topics of Fluid Mechanics, which are not covered by the Master course in Mechanical Engineering, such as for example the modeling of turbulence or transient flows.
Non-linear Solid Mechanics
Aquisition of Knowledge of nonlinear elasticity,viscoelasticity,hiperelasticity, plasticity and viscoplasticity and be able to use the indicial notation and the tensorial notation.
Experimental Mechanics
Specific aims:
Learning the main experimental methods and techniques used in the analysis and monitoring the behaviour of structures and components. Learn new concepts about in-service structural monitoring such as: self monitoring, smart structures; self healing structures, tailored components.
At the end of the semester,
Students should be acquainted with the main procedures, which are necessary to measure structures and interpret results.
Non-Linear Mechanics for Finite Element Analysis
To present nonlinear continuum mechanics, the associated finite element
formulations and the solution techniques with a unified treatment.
In the first part of the course, finite deformation in continuum mechanics and
nonlinear material behaviour is reviewed and extended. The second part of the
course is dedicated both to the finite element formulation and implementation
of the non linear (incremental) boundary value problem for different inelastic
material models.
An understanding of the computational tool being used, be it a
calculator or a computer.
An understanding of the problem to be solved.
The construction of an algorithm which will solve the given physical
problem to a given desired accuracy and within the limits of the
resources (time, memory, etc) that are available.
Probabilistic Mechanics and Reliability
SPECIFIC AIMS:
The main objectives are to understand probability and stocahstic processes concepts, and its application to Mechanical Engineering problems with particular emphasis on uncertainty modeling and on mechanical systems reliability.
Finite Element Method
This course aims to give students an insight into finite element methods applied to the calculation of solids and structures.
Computational Methods in Plasticity and Fracture Mechanics
Computational Methods in Plasticity: it is intended that the student addresses the theory of plasticity (in the broad sense), using a computational perspective based on an approximation made based on the finite element method (FEM).
The objective of the second part of the cpurse, Computational Methods in Damage Mechanics, is to train students in recent techniques of numerical simulation of the process of structural degradation of metallic and composite materials. This course will complement the disciplines of fracture mechanics and Approximation Methods in Engineering.
Aproximation Methods in Engineering
The disciple aims to introduce the essential concepts and an unifying basis of the more used numerical methods in computational models in Solid and Fluid Mechanics.
Plates and Shells
This course addresses theories and methods that are necessary to understand engineering problems related with plates and shells. It is also intended to develop students’ skills (analysis, summary and critical observation) through assignments using Maple or MATLAB* to study plates and shells.
* the use of alternative software is allowed.
Image Processing and Analysis in Engineering
General Objectives:
The domain of Image Processing and Analysis has raised potential in several areas of the human knowledge as, for example, in industry, biomechanics, bioengineering, man/machine interfaces, medicine, surveillance, biometry and virtual reality.
The course of Image Processing and Analysis in Engineering has an integrated perspective as it combines knowledge of different scientific areas; namely, of psychology, computers science, systems engineering, computational mechanics and systems modelling.
Specific Objectives:
To provide to the students knowledge in the multidisciplinary area of Image Processing and Analysis, as in the scope of biological vision processes as well as in the scope of methods and computational systems of image processing and analysis, in particularly in engineering.
Computational Processing, Representation and Analysis of Data
GENERAL GOALS:
Currently, the Computational Processing, Representation and Analysis of Data constitute essential tools for an adequate communication form based on a transformation of the data used in computational representations that traduces efficiently and precisely the information contained in the same data.
The several types of Computational Processing, Representation and Analysis of Data have application in different areas of the human knowledge as Medicine, Engineering and Science; namely, in medical diagnosis, meteorological maps, automobile industry, study of physical processes, etc.
With this course is intended to address theoretical and computational fundaments of the Computational Processing, Representation and Analysis of Data, progressively necessary as the computational simulations and analyzes are become more powerful and realistic, involving therefore huger volumes of Data of higher dimension and complexity.
SPECIFIC OBJECTIVES:
To provide knowledge to the students on a set of computational techniques that allow the achievement of representations of the information contained in a data set in order to assurance its efficient analysis, taking into account operations of data acquisition, processing and transformation in adequate structures for algorithms of data processing and representation.
Robotics
This course unit aims to provide students with knowledge of modeling and control of robot manipulators.
Simulation and Design of AVAC Systems
Experimental Techniques in Mechanics
Industrial Computational Technology
This course is specially made for students who wish to develop skills in a mechanical engineering PhD, automation option.
At the end of this course, students should be acquainted with technical and scientific concepts that are essential for studying this area of engineering (computer systems integration for industrial automation- specially focused on the control and supervision of continuous and discrete processes, either centralized or distributed).
Moreover, students should be able to specify functional conditions and develop computer solutions for automation use.
This course aims to give an overview on how to use and integrate computers (in their multiple forms) in industrial automation.
Plastic Conformation Technology
To provide the students with an elementary background in the field of mechanical behavior of materials and concepts necessary to the theoretical and practical analysis of manufacturing processes in particular those related to the technology of plastic forming.
Biomass and Biofuels
Bio Mechanics
The curricular unit Biomechanics aims to provide students with knowledge in the area of mechanics to be applied in living systems with special emphasis on the mechanics of materials and mechanics of rigid bodies. To give and develop an interest in biomechanics, trying to study and investigate the action, in mechanical terms, of different organs and biological tissues. It is expected that at the end of the semester, the students have acquired knowledge to use tools in order to build mathematical models representing mechanical modeling of systems associated with different living organisms and also to study the human locomotion, the equilibrium and how living tissues deal with load.
Large Dimensional Matrix Computations
Complements of Finite Elements
Advanced Kownledge of the Finite Element Method. A programing work will be performed using Matlab or using ABAQUS.
Control of Non-Linear Systems
Specific objectives:
To present an overview of some of the actual trends on non-linear systems control. Several control strategies enabling to circumvent process modelling uncertainties as well as to balance stability with performance are analysed.
Structural Dynamics
Non-linear Dynamics
Teach fundamental aspects of the theory of non-linear dynamical systems, as well as methodologies for their numerical and experimental analysis. The theory has applications in a wide number of fields, but emphasis will be given to mechanical systems.
Maintenance Engineering
Instrumentation for Measurement, Acquisition and Transmission of Data
The course will be running in english if any foreign candidate exists
The course is concerned with basic instrumentation techniques and concepts for data measurement, acquisition and transmission as fundamental knowledge for R&D experimental activities, namely in the mechanical engineering field.
The course objectives are: to contribute to the uniform use of concepts and definitions based on the International Vocabulary of Metrology; to explore the working principles and characteristics of the sensors and transducers more commonly used in R&D laboratories and industrial applications; to introduce the user to the manipulation of equipment and devices for experimental tasks and to methods and procedures for measuring physical quantities of general relevance; to clarify important features of signal conditioning and transmission and data acquisition and processing; to introduce the concept of virtual instrumentation together with web monitoring and actuation; to convey the concepts and tools for online experimentation; to emphasize the relevance of equipment calibration; to highlight the importance of measurement uncertainty evaluation; to promote the critical evaluation of measurement results.
Structural Adhesive Joints
Specific aims
1. Inform the mechanical engineers and related areas about the innovative technique of adhesive bonding;
2. Provide an extensive knowledge about the technology of adhesive bonding;
3. Increase the application of adhesive bonding in the Portuguese industry.
Learning outcomes
1. Know the different types of adhesives;
2. Know how to select adhesives for different applications;
3. Know how to prepare, manufacture and design adhesive joints;
4. Demonstrate knowledge in the use of adhesives in the industry.
Composite Laminates
The main objective of this discipline is to put students in contact with manufacturing processes, mechanical characterization and application of composite laminates.
Computational Fluid Mechanics
To understand the core concepts of numerical methods commonly used in computational models in Fluid Mechanics.
Non-linear Solid Mechanics
Aquisition of Knowledge of nonlinear elasticity,viscoelasticity,hiperelasticity, plasticity and viscoplasticity and be able to use the indicial notation and the tensorial notation.
Non-Linear Mechanics for Finite Element Analysis
To present nonlinear continuum mechanics, the associated finite element
formulations and the solution techniques with a unified treatment.
In the first part of the course, finite deformation in continuum mechanics and
nonlinear material behaviour is reviewed and extended. The second part of the
course is dedicated both to the finite element formulation and implementation
of the non linear (incremental) boundary value problem for different inelastic
material models.
An understanding of the computational tool being used, be it a
calculator or a computer.
An understanding of the problem to be solved.
The construction of an algorithm which will solve the given physical
problem to a given desired accuracy and within the limits of the
resources (time, memory, etc) that are available.
Computational Methods in Plasticity and Fracture Mechanics
Computational Methods in Plasticity: it is intended that the student addresses the theory of plasticity (in the broad sense), using a computational perspective based on an approximation made based on the finite element method (FEM).
The objective of the second part of the cpurse, Computational Methods in Damage Mechanics, is to train students in recent techniques of numerical simulation of the process of structural degradation of metallic and composite materials. This course will complement the disciplines of fracture mechanics and Approximation Methods in Engineering.
Aproximation Methods in Engineering
The disciple aims to introduce the essential concepts and an unifying basis of the more used numerical methods in computational models in Solid and Fluid Mechanics.
Optimization
The aim of the course is to provide students with knowledge of optimisation theory in general and the optimal design of mechanical engineering systems, in particular structures, thermo-mechanical systems and technological processes.
Image Processing and Analysis in Engineering
General Objectives:
The domain of Image Processing and Analysis has raised potential in several areas of the human knowledge as, for example, in industry, biomechanics, bioengineering, man/machine interfaces, medicine, surveillance, biometry and virtual reality.
The course of Image Processing and Analysis in Engineering has an integrated perspective as it combines knowledge of different scientific areas; namely, of psychology, computers science, systems engineering, computational mechanics and systems modelling.
Specific Objectives:
To provide to the students knowledge in the multidisciplinary area of Image Processing and Analysis, as in the scope of biological vision processes as well as in the scope of methods and computational systems of image processing and analysis, in particularly in engineering.
Advanced Production Processes
To provide the students with an elementary background in the field of mechanical behavior of materials and concepts necessary to the theoretical and practical analysis of manufacturing processes in particular those related to the technology of plastic forming.
Robotics
This course unit aims to provide students with knowledge of modeling and control of robot manipulators.
Materials Selection and Testing
Study, using case-studies, materials selection methodologies and choice of processes by which the material is to be formed, joined and finished.
It is expected the students will be able to use significant mechanical properties of different materials in comparing and materials selection exercises.
Simulation of Technological Processes
The student will master the fundamental concepts of numerical methods and will have the ability to perform numerical modeling of technological processes such as bulk metal forming and sheet metal forming, by using commercial codes and related pre and post processing tools.
Experimental Techniques in Mechanics
Industrial Computational Technology
This course is specially made for students who wish to develop skills in a mechanical engineering PhD, automation option.
At the end of this course, students should be acquainted with technical and scientific concepts that are essential for studying this area of engineering (computer systems integration for industrial automation- specially focused on the control and supervision of continuous and discrete processes, either centralized or distributed).
Moreover, students should be able to specify functional conditions and develop computer solutions for automation use.
This course aims to give an overview on how to use and integrate computers (in their multiple forms) in industrial automation.
Product Development Technologies
Acquiring basic knowledge about the recent technologies to develop prototypes in different materials and pre-series of plastic and metallic parts, using additive manufacturing, conversion technologies, rapid tooling and rapid manufacturing
Select processes and develop new products.
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