MATERIALS OPTIMIZATION AND SELECTION METHODS

Course Information
TitleΜΕΘΟΔΟΙ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗΣ ΚΑΙ ΕΠΙΛΟΓΗΣ ΥΛΙΚΩΝ / MATERIALS OPTIMIZATION AND SELECTION METHODS
CodeΜΦΥ655
FacultySciences
SchoolPhysics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorGeorgios Dimitrakopulos
CommonNo
StatusActive
Course ID40000238

Programme of Study: PPS Physics and Materials Sciences (2014-today)

Registered students: 17
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course218

Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Weekly Hours8
Class ID
600133644
Type of the Course
  • Scientific Area
  • Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Learning Outcomes
- Upon the successful completion of the module the students will be able to construct context diagrams, to use the parameter space, will be able to choose the proper optimization method, will be able to set up the requirements-constrains of the material for a construction, they will know the criteria to choose the apropriate devices. They will know about quality and the ways to ensure quality and how to construct a prototype. - The aim of the "materials selection" module is to introduce students to the principles of systematic materials selection based on the application, the performance, the design, and the cost. The module has a high added value regarding the acquired practical capabilities of the MSc graduates and their potential employment by the industry. - Understanding of the risks related to the work in laboratory or industry for the researcher and the environment. Training in prevention and facing of accidents and the design of laboratory units under the prism of hygiene, safety and working efficiency.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Demonstrate social, professional and ethical commitment and sensitivity to gender issues
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
- Optimization & prototyping: Context diagram. Parameter space. Optimization methods. Specifications-demands. Choice of concept. Embodiment. Model construction. Examples. - Methods of materials selection: Materials and Design. Properties of engineering materials. Design types and parameters. Material performance. Value and cost. Databases of materials properties. The materials selection process. Methods of materials selection - Selection based on technical analysis, correlation and analogy. Performance indices. Multiple targets and constraints. Process selection. Analysis of process cost. Process properties. Environmental materials selection. Examples – exercises. - Organizing safety in the working environment focusing in research laboratories. Calssification of labor accidents and protection means. Methods for facing danger related to fire, high voltage, chemicals, electromagnetic fields and optical instruments. In the frame of the lesson, students are practiced in fire elimination, first aids while visits to local industrial units are carried to provide an on-site overview of hygiene and safety measurements. - Computational analysis of nanomaterials physical properties The course offers an introduction and thorough deepening in programming techniques as a tool for solving problems in Physics of Materials. MATLAB is an advance programming platform and will be used as a planning tool. MATLAB enables the user to write code similar to the high level programming languages, combined with a complete library of functions and applications on computational physics. Consequently, the students will be trained in programming as a tool for production of scientific applications, using simultaneously the most sophisticated auxiliary functions available in MATLAB. The students will be educated on applications of modern computational problems in Physics of Materials. e.g. computational modeling and analysis of crystal structures , periodic boundary conditions, creation of surfaces, interfaces and extended defects. Calculations of lattice constants by the use of interatomic potentials. Energetic calculations – methods of energy minimization. Analysis of structural and electronic properties by the use of first principles calculations on crystalline materials. Band gap of semiconductors, density of states, statistical thermodynamics and properties of matter.
Keywords
Optimization, prototyping, materials selection, properties of materials, hygiene, safety, laboratory, industry
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Interactive Teaching in Information Center
Total
Student Assessment
Description
written work
Student Assessment methods
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Σημειώσεις
Additional bibliography for study
Materials selection in Mechanical Design, M. F. Ashby, Butterworth-Heinemann Οδηγός Υγιεινής και Ασφάλειας της Εργασίας, Συγγραφέας: Νίκος Σαραφόπουλος, Εκδοτικός οίκος: Μεταίχμιο.
Last Update
12-11-2015