2021 Aerospace materials and modelling techniques

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Academic unit or major
Graduate major in Materials Science and Engineering
Instructor(s)
-
Class Format
Lecture     
Media-enhanced courses
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
MAT.M432
Credits
1
Academic year
2021
Offered quarter
3Q
Syllabus updated
2021/10/11
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

This lecture aims at introducing various metallic materials for aerospace applications. The main focus is on the interest of thermodynamics for the understanding and modelling of phase transformations, alloy design, in the field of aerospace applications.

Student learning outcomes

Students will learn examples of aerospace applications of metallurgy, and will be introduced to thermodynamic modelling.

Keywords

aerospace, nickel-based superalloys, titanium aluminides, thermodynamics, Calphad method, phase transformations

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

visioconference lectures

Course schedule/Required learning

  Course schedule Required learning
Class 1 General introduction of aerospace materials and related interest of thermodynamics Understanding the interest of metallurgy in the aerospace field.
Class 2 Calphad method 1 Understanding what is the Calphad method, how it works and its potential uses.
Class 3 Calphad method 2 Understanding what is the Calphad method, how it works and its potential uses.
Class 4 Ni-based superalloys: introduction (no modelling) Understanding the origin and the interest of the mechanical properties of nickel-based superalloys
Class 5 Precipitation modelling for Ni-based superalloys Understanding the basics of precipitation modelling through the example of superalloys
Class 6 TiAl-based alloys : introduction (no modelling) Understanding the origin and the interest of the mechanical properties of nickel-based superalloys
Class 7 Machine learning and future prospects Understanding the basics of machine learning for the design of new materials

Textbook(s)

No textbooks will be used in this lecture

Reference books, course materials, etc.

Course material will be sent before each lecture.

Assessment criteria and methods

Participation and report

Related courses

  • MAT.M412 : Reliability and Durability of Metals and Alloys

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Basics of metallurgy

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