MECH4102 Advanced Materials Course description

This course presents relevant topics on advanced materials, covering diverse types of materials based on their bonding structure and constituents. The course provides a solid understanding of the fundamental properties of materials that allow their functionality, namely electronic, magnetic, photonic, and thermal properties. Furthermore, the basics of corrosion and wear are covered, and an introduction to materials characterization. Finally, the course provides an overview of the factors that contribute to materials sustainability, and the application of smart materials in the development of sustainable technologies for energy transformation and storage.

Language of instruction: English

The exam consists of two parts: One individual and one group project.

Part one: Individual project report, 20-30-page, which counts 40 % of the final grade.

Individual project includes developing a Python code for a medium sized structural system and solving for the response.

Part two: Group project report, 3-5 students per group, 30-40 page, which counts 60 % of the final grade. The project includes simulating a sophisticated system subjected to static, dynamic, or thermal loads using the commercial software ABAQUS and interpreting the results. Part one and two are complementary in the sense that in part one, students code themselves to understand the underlaying code, while in part two they use sophisticated software, ABAQUS to solve the given problem.

Both parts of the exam must be passed in order to pass the course.

New/postponed exam:

In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.

In this course the students will apply their knowledge they acuired from the course "Introduction to Mechatronics" to engage in a hands-on, practical project.The focus will be on developing and testing a mechatronics system/device prototype. The project encompasses a comprehensive range of elements of the mechatronics system, including elements of mechanical and electronic design, sensor and actuator, signal processing, communication, control system, modelling and simulation, and considerations for safety and ethics. This course aims to provide students with a practical and holistic understanding of mechatronics technology by exploring its diverse applications in real-world scenarios.

Language of instruction: English

Lectures and group laboratory exercises

Theory lectures, tutorials, practical training, and project work in groups. The students work in groups of 3-5 people on a given project scenario while attending theoretical lectures on relevant specialized subjects. The course gives practical guidance on how to apply fundamental concepts of mechatronics through lectures on the underlying theoretical aspects, in combination with exercises.

This course covers the fundamentals of the Finite Element method and moves on to include advanced topics on the subject. It focuses on displacement-based isoparametric formulation of elements for an arbitrary discretized geometries in n-dimensional space. The course encompasses enough material for analysts and designers but also allows those keen on conducting research in the field to become aware of the methods and obstacles. As a numerical method, it may only be understood when it is used, therefore both Python coding and commercial software (ABAQUS) are treated as tools and several assignments, an individual project, and a group project are defined to ensure the knowledge learnt may be put into practice.

Language of instruction: English

Knowledge

The candidate

• can explain when and why finite element analyses are required
• can describe the finite element discretization of continuum mechanics equations
• can form mass and stiffness matrices and analyze simple structures using matrix analyses
• can describe Neumann, Dirichlet, and Robin boundary conditions in finite element analyses
• can explain different types of nonlinearities and implicit and explicit dynamic analyses
• can describe the principal idea of the isoparametric finite element formulation.

Skills

The candidate

• can form mass and stiffness matrices based on consistent isoparametric formulation and analyze simple structures using matrix analyses

• can calculate the entries of dense and sparse finite element matrices for continuum, beam, and shell elements
• can study solid mechanics problems, such as statics, implicit and explicit dynamics, and heat transfer, using FEM
• can use FEM to calculate eigenvalues and vibrational modes of a dynamic system
• can analyze the buckling behavior of simple structures and calculate the critical buckling load using the linear perturbation method
• can calculate and evaluate the post-buckling path for a structure under loading using the Riks arc-length method
• can apply relevant methods for solving problems, including ABAQUS and Python coding
• can apply ABAQUS to set up models and run simulations on complex systems.

General competence

The candidate:

• can transfer a practical engineering problem into a FEM problem and assess the numerical results by comparing them with analytical solutions or experimental results
• can communicate numerical results through a report, using accurate and appropriate terminology of FEM
• can contribute to sustainability by allowing for reduction in consumption of volume of materials during manufacturing, also through efficient problem solving and saving on electricity use and quick improved design through virtual testing
• can contribute to innovation in FEM through modeling discontinuities in structures, such as void, crack, and material interfaces, by enriching the approximation space using extended FEM
• can conduct a project in line with the instructions provided and within the bounds of ethical conduct.

All materials are permitted.

The following coursework requirements must have been approved for the student to take the exam:

Four individual assignments (3-5 pages each) comprising deriving the governing equations for a system and solving small systems of equations for low degree-of-freedom prototypes using Python codes. The assignments must include an explanation of the problem and the solution procedure. The solutions must be analyzed and correlated with analytical results when possible.