Mechanical Engineering

This course introduces the fundamental equations of perfect and Newtonian fluid mechanics within the framework of continuum mechanics. It covers fluid kinematics and deformation, followed by the dynamics of ideal and viscous fluids through the Euler and Navier–Stokes equations. The course also provides an introduction to dimensional analysis and concludes with the Saint‑Venant equations and related analogies, highlighting applications to real fluid flows.

This course examines the conceptual engineering design process, emphasizing the real-world application and hands-on experience using machine elements. It will cover how machines work, including the fundamentals of relevant mechanical and electronics elements to realize autonomous mechanical and mechatronics systems.

The course teaches students on modelling, analysis, and design methods in relation to continuous and discrete control systems. Introduction to state variable analysis is also provided. It is assumed that students have some knowledge of classical control theory, including frequency response methods and complex frequency methods. A level of understanding of linear algebra is also assumed. The coursework assignments are designed to give the student an opportunity to develop skills in carrying out realistic control designs using modern simulation and analysis tools.

This course provides the knowledge needed to participate in development and control of drivetrain in modern electric vehicles and in wind power generation. Lectures and arithmetic exercises include the following: Modulation and Current Control methods for power electronic circuits. This is a repetition of required prior knowledge built in the preceding course EIENnn “Power Electronic Control and Design Project”. EV drivetrains design based on vehicle performance requirements. Battery voltage level, Power electronic switching frequency, Maximum vehicle speed, Acceleration requirements, hill climbing requirements, Size requirements, Number of gears. Wind turbine design based on performance requirements. Turbine Size and rotor speed range, mechanical and electrical transmission, power optimization dependent on wind speed, ancillary services requirements. Modelling of electrical machines. Torque map, flux map, voltage limitation, current limitations, optimal operating points. Applications on both EV drives and Wind power generation. Control of electrical machines. Optimal operating points, Torque control, Magnetic flux limitations, Field weakening control, Applications on both EV drives and Wind turbines. Simulation tasks and laboratory work include electric machine (PMSM) in a vehicle drive system and electrical machine (PMSM) in a wind power system. These labs are prepared through simulation work, which is reported as a homework before the lab. After the laboratory, a report is written where simulations and measurements are compared. Assumed prior knowledge: EIENnn Power Electronic Control and Design Project, ESSF01 Analogue Circuits, ESS030/ESSF20 Physics of Devices, ESSF15 Electrical Engineering (EE, WE), MIE012/EIEF35 Electrical Engineering, basic course (ME)or EITF90 Electromagnetics and Electronics (FE) and FRT010/FRTF05 Automatic Control, Basic Course.

This course introduces the fundamental concepts of continuum mechanics, with a particular focus on the mechanics of deformable solids. Emphasis is placed on the formulation and application of the governing equations of linear isotropic elasticity under small deformations. It studies the continuum approach to modeling materials, including kinematics of deformation, stress and strain analysis, balance laws, and constitutive relations. The course then focuses on elastic solids, covering equilibrium equations, elasticity theory, and the mechanical behavior of one‑dimensional structures such as beams. Energy methods and elastic limit criteria are also introduced. Through theoretical instruction and individual problem-solving activities, students develop the tools needed to analyze and solve classical problems in solid mechanics and structural analysis.

This course introduces the calculation methods and experience of manufacturing options used by engineers to design electromagnetic devices such as transformers, actuators, and electric machines. The aim of the design of an electromagnetic device is the desired function, integration, and rational manufacturing method, and thus this course develops the related and relevant skills and experience. The course provides theoretical knowledge though lectures, and the acquisition of modelling skills and experience through assignments and course projects. Assumed prior knowledge: EIEF15 Electrical Engineering (EE), ETE055, EITF85 Electromagnetic Field Theory (PhyE), MIE012, EIEF35 Electrical Engineering, basic course (ME), ETEF01 Electromagnetic Field Theory (MathE).

The course providers the knowledge, skills, and experience from taking part in an industrially based mechatronic development project, which is conducted up to a working prototype. The principal design of the product has been formed in the course Applied Mechatronics. It is essential that the work is done in a team with competences from various fields. The project is done during two study periods. The course participants should develop the mechatronic parts of those projects or other purely mechatronic products. The development process starts with extensive information search, brainstorming, and evaluation, activities which often encompass 30-40% of the total workload. This has been done in the course EIEN65 Applied Mechatronics. Then follows in this course selection of concept, constructive design of the product idea, ordering of components, building, testing, and adjustments. The course concludes with the official presentation of the designed products, where representatives from industry, course leaders, and the press take part. Assumed prior knowledge: Applied Mechatronics.

This course teaches students how to evaluate the dynamic response requirements of a proposed machine design and to produce workable proposals for its safe and effective operation. It builds on the second year Mechatronics and Solid Mechanics courses, introducing a greater range of examples where the dynamic response of a machine must be controlled and making the link between vibration and fatigue failure. This involves some new subject matter in the vibration of continuous systems, rotor dynamics, signal processing and control analysis. A key aspect of the course is to demonstrate practical vibration measurements and to compare them to solutions of an idealized system in MATLAB. 

This course presents fundamental elements for the numerical approximation of mathematical models used in mechanics, particularly partial differential equations (PDEs). The focus is limited to linear diffusion and advection phenomena, which are common to many equations encountered in mechanics. Most of the course is devoted to the finite difference method for one‑dimensional problems. Key concepts such as accuracy, stability, convergence, numerical diffusion, and numerical dispersion are studied in detail. Practical examples are used to illustrate these concepts, including the heat equation, pollutant advection in a river, and acoustic wave propagation.