Metal Matrix Composites and Advanced Metallic Materials

Code:

M.EMAT023

Acronym:

MCMA

Keywords
Classification	Keyword
OFICIAL	Science and Technology of Materials

Instance: 2024/2025 - 2S

Active?	Yes
Responsible unit:	Metallurgy, Materials and Technological Processes Section
Course/CS Responsible:	Master in Materials Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.EMAT	17	Syllabus	1	-	6	39	162

Teaching language

Portuguese and english

Objectives

The objectives to achieve with this course are as follows:

- develop the ability to integrate information on metal matrix composites and advanced metallic materials;

- understand the relationship between the chemical composition, processing, post-processing, microstructure, and the properties of these materials;

- ability to select different strategies to modify the microstructure of these materials to obtain the desired properties

- increase the knowledge and experience of selecting the most suitable material for a particular engineering application;

- critically analyse information and mobilize knowledge for problem-solving.

The development of laboratory work and reporting will allow students to develop their skills in the design of experiments, teamwork, to achieve common objectives, and communication and presentation of scientific results, both in written and oral form.

Learning outcomes and competences

The programmatic contents of this course were designed so that students deepen their knowledge of metal matrix composites and advanced metallic materials, focusing mainly on their processing and post-processing, properties and applications.

With this course, students:

- expand their knowledge in engineering materials and their skills in materials selection;

- acquire competences to design and build systems by selecting materials and techniques appropriate to a specific problem;

- develop teamwork and oral and written communication skills.

Working method

Presencial

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

Recommended prerequisites: concepts learnt in the courses of Structure and Properties of Materials, Materials Characterization Lab, Metals, and Materials Selection.

Program

1. High Entropy Alloys (HEAs)
- Classification of HEAs and their unexpected properties
- CALPHAD Modelling for HEA exploration
- Processes, examples of studies and applications.

2. Shape memory alloys and metal glasses
- Properties and applications
3. Metal foams
4.Metal matrix composites and hardening mechanisms
3. White cast irons and MMC reinforcements for wear resistant applications
- Properties and applications
5. Metal matrix composites MMC
- Hard metal and others MMC
- Manufacturing of MMC components
- Characterisation of MMC (wear resistance and machinability)
- Nano/micro MMC
- FGM's
- MMC reinforcements in white cast irons and steels for wear applications
6. Simulation of composite materials

Mandatory literature

Davim, J.P.; Metal Matrix Composites: Materials, Manufacturing and Engineering, Berlin: De Gruyter, 2014
Krishnaraj, V.; Metal Matrix Composites: Synthesis, Wear Behaviour and Machinability Aspects, Cham: Springer International Publishing AG, 2015
Li, H.X., Lu, Z.C., Wang, S.L., Wu, Y., Lu, Z.P.; Fe-based bulk metallic glasses: Glass formation, fabrication, properties and applications, Progress in Materials Science, 2019
Ovid'ko, I.A., Valiev, R.Z., Zhu Y.T.; Review on superior strength and enhanced ductility of metallic nanomaterials, Progress in Materials Science, 2018
Chowdhury, P., Sehitoglu, H.; Deformation physics of shape memory alloys. Fundamentals at atomistic frontier, Progress in Materials Science, 2017
Olawale,J.O. & Oluwasegun, K.M.; Austempered Ductile Iron (ADI): A Review, Materials Performance and Characterization, 2016
Stefanescu,D.M.; Cast iron science and technology, Materials Park, OH: ASM International, 2017

Teaching methods and learning activities

Lectures (TP) basically consist of the oral exposition of the fundamental concepts on the different materials studied. These presentations will be illustrated with case studies, seeking to create an open atmosphere where students actively participate in the subject being taught.

In the practical laboratory classes (PL), the students, organized in groups of 2-3 elements, develop practical work related to the materials addressed in the TP classes, and a report will be produced. The results will be presented and discussed with the class and the teacher.

Evaluation formula: weighted mean value of final exam (70%) and group presentation (30%). Students must obtain a minimum mark of 9.5 (out of 20) in each evaluation’s component.

The final grade is calculated as follows: 70% TP component (average of 2 compulsory written tests) + 30% PL component.
A minimum mark of 9.5 in each of the assessment components is required for approval.

keywords

Technological sciences > Engineering > Materials engineering

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho laboratorial	30,00
Teste	70,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	123,00
Frequência das aulas	26,00
Trabalho laboratorial	13,00
Total:	162,00

Eligibility for exams

To be admitted to exams, students:

- have to do all the practical assignments and the corresponding report and presentation;

- cannot miss more than 25% of the PL classes;

- have to reach a minimum mark of 9.5 (out of 20) in the practical component.

Calculation formula of final grade

Final mark: 70% (average of 2 compulsory exams in the TP component) + 30% (practical component work).

Examinations or Special Assignments

Not applicable.

Internship work/project

Not applicable.

Special assessment (TE, DA, ...)

Special cases will be assessed in the following way: Exam – 70 %; laboratory work accomplished in two days, previous to the written examination – 30%. To complete this course, students have to obtain a minimum mark of 9.5 (out of 20) in each of the evaluation’s components.

Classification improvement

The evaluation may be improved through an exam appeal required by students.