Universitat Internacional de Catalunya
Material Selection
Other languages of instruction: Catalan, English
Teaching staff
Appointments for face-to-face tutorials, both to resolve doubts about theoretical or practical aspects of the subject and to prepare individual assignments are organized by e-mail ecastro@uic.es, giving priority to consultations at the times agreed with the professor at the beginning of the academic year (Wednesdays from 9:00 to 10:00).
Introduction
Technological innovations in bioengineering depend largely on the responsible use of advanced materials, while their misuse can have negative consequences in terms of safety, sustainability or health. Therefore, it is essential that the future bioengineer knows how to select and apply materials properly, considering technical, economic, aesthetic, environmental, regulatory and durability criteria.
The course aligns with the Sustainable Development Goals (SDGs), especially SDG 3 (Health and Wellness) - by addressing the use of biomaterials and their safe application in the medical field-, SDG 4 (Quality Education) - by providing key competencies in materials science and engineering for bioengineering education-, SDG 9 (Industry, innovation and infrastructure) - by introducing advanced materials that drive innovation and technological development - and SDG 12 (Responsible production and consumption) - by including life cycle analysis, recycling and eco-design methodologies - while also encouraging reflection on SDG 13 (Climate action) - by promoting the design and selection of materials that minimize the environmental footprint and contribute to more sustainable development.
In this sense, the course not only enables students to understand the properties and limitations of materials, but also to situate their decisions within the framework of the global challenges of health, innovation and sustainability.
Pre-course requirements
Subjects: Materials, Biomaterials and biocompatibility.
Objectives
• To know advanced materials with special applications in the area of
bioengineering.
• To promote a positive and open attitude towards new materials.
• To understand the basic principles involved in the selection of materials by establishing methodologies (design, costs, functionality, role of the specifications, and quality demand by the industry) that allow the selection of the ideal material for each particular application.
Competences/Learning outcomes of the degree programme
- CN01 - Describe aspects related to bioengineering based on subject-specific books together with scientific publications at the forefront of knowledge.
- CN02 - Associate the assessments and implantable materials with the variability in the expression of diseases and biological differences between sexes.
- CN04 - Integrate the fundamentals of materials science and technology taking into account the relationship between microstructure, synthesis or processing and material properties.
- CP01 - Interpret relevant data (normally within their area of study) and issue judgements that include a reflection on relevant issues of a social, scientific and ethical nature.
- CP07 - Interpret material properties along with electrical, magnetic, mechanical and chemical behaviour to investigate new materials for different applications.
- HB03 - Validate calculations, valuations, appraisals, assessments, studies, reports, work plans and other similar works.
- HB11 - Apply the fundamentals of elasticity and resistance of materials to the behaviour of real solids.
Learning outcomes of the subject
Upon completion of this course, students will be able to:
• Apply the fundamentals of materials science, technology, and chemistry, and relate them to microstructure, synthesis or processing, and material properties.
• Solve problems related to manufacturing process engineering based on the materials that make up the component.
• Relate the structure of materials to their properties and applications.
• Apply materials testing standards.
• Justify the selection of materials, their shaping, treatment, coatings, and modes of use.
• Determine the most suitable material for each engineering application.
Syllabus
- Ohm's law and electrical conductivity. Conductors, insulators, and dielectrics. Conductivity of metals and alloys. Intrinsic and extrinsic semiconductors. Temperature dependence of conductivity. Superconducting materials. Piezoelectricity and ferroelectricity.
- Magnetization, permeability, and magnetic field. Effect of temperature on magnetic behavior. Magnetic domains and hysteresis cycle. Classification of magnetic materials: soft and hard magnetic materials. Diamagnetic, paramagnetic, ferromagnetic, ferrimagnetic, and superparamagnetic materials. Curie temperature.
- The electromagnetic spectrum. Interaction of light with solids. Optical properties of metals and non-metals. Refraction, absorption, reflection, and transmission of light. Luminescence. Opacity and transparency of insulators.
- Heat capacity and specific heat. Thermal expansion. Thermal conductivity. Thermal stresses. Thermal shock.
- Constituents of composite materials: matrix and dispersed phase. Classification of composite materials. Metal matrix composite materials. Ceramic matrix composite materials. Fiber-reinforced and particle-reinforced composite materials. Structure, properties, and applications of reinforced plastics. Laminar composite materials. Sandwich structures.
- Structure of metal alloys. Interpretation of phase diagrams. Single-component phase diagram. Solubility limit. Two-component phase diagram. The iron-carbon system. Invariant reactions: eutectic and peritectic. Lever rule. Ternary phase diagrams.
- Ferrous alloys. Carbon steels. Stainless steels. Iron-iron carbide phase diagram. Development of microstructures in steels. Influence of other alloying elements. Heat treatment of carbon steels.
- Non-ferrous alloys. Light alloys: aluminum, magnesium, beryllium, and titanium alloys. Copper, nickel, cobalt, and zinc alloys.
- Functional materials. Classification of materials: structural materials versus functional materials. Glass and metallic foams.
- Smart materials. Shape memory alloys.
- Biomimetic materials.
- Nanomaterials.
- Metamaterials. Active materials.
- Discovery of new materials using Generative AI (MatterGen).
- The design process. Stages of the design process: Translation, filtering, classification, and documentation.
- Material selection strategies. Ashby's selection methodology. Relationship between material selection and design.
- Relationship between the properties of materials and their structure.
- Economic considerations in material selection. Material economics. Cost estimation with Ansys Granta EduPack.
- Environmental considerations in material selection. Recycling aspects in materials science and engineering. Bioplastics. Life cycle assessment (LCA). Eco Audit with Ansys Granta EduPack: Embedded energy and carbon footprint. Ecodesign. Introduction to OpenLCA free software. Real-life ecodesign cases.
- Practical cases of material selection: Total hip replacement and suture anchors.
- Information management and decision-making in material selection. Functions, objectives, and constraints.
- Databases on material properties: MatWeb.
- Ashby charts.
- Commercial software: Ansys Granta EduPack.
- Material performance index.
- Use of Generative AI tools (chatbots) in material selection.
Teaching and learning activities
In person
Active teaching methodologies in small groups such as the case method, problem-based learning (ABP), computer simulation, classroom gamification, flipped classroom, Peer instruction, etc. The theory classes will be an introduction to the different topics discussed, to make available to the student everything related to the materials used in advanced bioengineering. The classes considered practical will be eminently problem solving and study of practical cases of selection and application of advanced materials in the field of bioengineering. The practices will be to search for information and applications of specific advanced materials.
In theory and practice classes, the use of information and communication technologies (ICT), such as audiovisual media (videos, computer presentations, ...), is offered when this improves the clarity of class exposure, and the use of the virtual campus in Moodle will be promoted as the main way to manage student work, communicate with them, distribute study material, etc. During the course, students will be asked to complete the following training activities:
Peer Instruction - Short questions thrown by the teacher at the beginning or end of the virtual or face-to-face class on the subject being treated in the subject at that time to which students must answer individually through a forum of Question and Answer (Q&A) evaluable enabled for it in Moodle, in such a way that among the students cooperatively construct the correct answer to the short question (which may fall in the examination of the subject) - the teacher will indicate the answers of those students That they are correct and this will allow them to score points for the evaluation of active participation.
Modelling (Do it yourself - DIY) - Construction of models and models in a group, during a practical seminar-type classroom, allowing students to learn by doing (such as a materials cube) in a Lego Serious Play type learning methodology. Once the model or model has been built, students will be asked to use that model or model to carry out an activity that allows them to deepen their knowledge of the technology, technique or modelled material following a script provided by the teacher.
Treasure Hunt (Reading Promotion) - Divide the classroom into two groups, each with a spokesperson who goes to the library to look for a book indicated by the teacher (different for each group), in such a way that each one of the groups, look for a series of data or explanations requested by the teacher in the indicated book and cooperatively build a document with those data and explanations taken from the book and to be delivered, through the spokesperson, via the Moodle task, to the teacher at the end of class. The teacher will give points of active participation in the evaluation of the subject to the group that does it best.
Flipped Classroom - The teacher will post a link to a YouTube video in the Moodle about some aspect of the subject's syllabus that the students will visualize either as homework before the corresponding non-face-to-face class or during the break of the face-to-face class projecting it on the class screen. After viewing the video, the teacher will propose to the students to take a quiz through a tool like Socrative or Kahoot using their mobile phones, tablets or computers to check the assimilation of the concepts covered in the video. The teacher will give active participation points in the subject to students who answer correctly and more quickly to the quiz questions.
Solving problems and study cases - Carry out numerical exercises in class for the practical application of the laws, equations and concepts seen in theory, both by the teacher and by the students on paper and on the board. A bulletin of additional problems will also be hung from the Moodle so that the student can train for the practical part of the exams. The delivery of the problem bulletin to the teacher through a Moodle task in the stipulated time, as well as volunteering to solve problems on the board will score in the evaluation of active participation in the subject. Carry out simulation exercises and practical cases, using the CES EduPack material selection software, individually or in groups (choosing a spokesperson) in practical or seminar class. The evidences of the realization of the practical cases and simulation exercises will be collected through a portfolio in Moodle.
Important considerations
- Plagiarism, copying or any other form of academic dishonesty will result in a grade of zero for the corresponding component.
- If academic dishonesty is detected during an exam, it will result in the immediate failure of the course, with no chance of resitting.
- The use of artificial intelligence tools for the completion of assessment activities is strictly prohibited, except where their use is expressly authorized by the lecturer as part of the activity.
- The use or possession of electronic devices (mobile phones, smartwatches, earbuds, etc.) during exams is strictly prohibited.
Mere possession, even if the device is turned off, will be considered an attempt to cheat.
- If this occurs during the first call, it will result in the automatic failure of the exam, and the student will be required to attend the second call.
- If it occurs during the second call, it will result in the definitive failure of the course, and the student must re-enrol in the next academic year.
- No changes to the academic calendar, exam dates or evaluation system will be accepted under any circumstances.
- Exchange students (Erasmus or others) and repeaters are subject to the same evaluation and attendance conditions as all other students.
Evaluation systems and criteria
In person
The structuring of the subject in theoretical and practical sessions involves the evaluation of the knowledge and skills acquired in a differentiated and complementary manner. In the case of the contents of the theoretical sessions, they will be evaluated in a final test, both written and that will take into account both the ability to relate the contents of the different topics in a transversal way, as well as the development of one´s own thinking. Regarding the practical part of the subject, the evaluation will be continued, considering the following aspects with different relative weight: active participation in class and debate after the reading of the complementary bibliography. In order for both parts of the course to be able to take an average and thus obtain the final grade for the course, it will be necessary to pass them independently.
The student´s qualification will be:
1st call
|
Assessment type |
Evaluation system |
Weighing |
|
Summative evaluation |
Final exam |
35 % |
| Summative evaluation | Midterm exam | 35 % |
|
Formative assessment |
Debate - recycling bioplastics (PLA for 3D printing) |
15 % |
| Authentic evaluation | Exit ticket - bulletin of problems and practical cases | 5 % |
| Authentic evaluation | Infographic | 5 % |
| Authentic evaluation | Gemini IA Test | 5 % |
|
|
|
2nd call
|
Assessment type |
Evaluation system |
Weighing |
|
Summative evaluation |
Final exam |
75 % |
|
Formative assessment |
Debate - recycling bioplastics (PLA for 3D printing) |
15 % |
|
Authentic evaluation |
Exit ticket - bulletin of problems and practical cases | 5 % |
| Authentic evaluation | Infographic | 5 % |
Important considerations:
- Plagiarism, copying, or any other action that could be considered cheating will result in a zero in that section of the assessment. Doing so in exams will result in immediate failure of the course.
- In the second exam session, it will not be possible to obtain a grade of “Honors,” so the maximum grade will be “Excellent.”
- No changes will be accepted to the calendar, exam dates, or the evaluation system.
- Exchange students (Erasmus and others) or repeat students will be subject to the same conditions as the rest of the student body.
- Students may not enter the classroom 10 minutes after the lesson has begun (nor leave) unless there is a justified reason.
- The use of generative artificial intelligence tools (e.g., ChatGPT, Claude, Gemini, etc.) is permitted and encouraged in the preparation of classwork, assignments, and activities, provided that their use is declared transparently.
- When using a Generative AI tool, students must include the following in an appendix to their submission:
a. the tool used (e.g., ChatGPT, free or subscription version),
b. the main prompt or instruction used,
c. the type of assistance received (e.g., brainstorming, initial drafting, bibliography summary, outlines, translation, image creation, etc.). - The use of Generative AI tools is not permitted in face-to-face exams or individual assessments unless expressly authorized by the instructor.
- The use of Generative AI tools does not exempt students from academic responsibility: students are ultimately responsible for the accuracy, rigor, and originality of the content submitted.
- Failure to attribute the use of these tools will be considered plagiarism or serious academic misconduct.
Bibliography and resources
(1). Callister, W.D. (2016). Ciencia e ingeniería de materiales. Reverté. [eBook]
(2). Smith, W.F. (2014). Fundamentos de la ciencia e ingeniería de materiales. McGraw-Hill.
(3). Puértolas Ráfales, J.A. (2016). Tecnología de los materiales en ingeniería, Vol. 1. Síntesis.
(4). Puértolas Ráfales, J.A. (2016). Tecnología de los materiales en ingeniería, Vol. 2. Síntesis.
(5). Ashby, M.F. (2019). Materials: Engineering, Science, Processing and Design. Butterworth-Heinemann.
(6). Montes Martos, J.M. (2014). Ciencia e ingeniería de los materiales. Paraninfo. [eBook]
(7). Askeland, D.R. (2021). Ciencia e ingeniería de materiales. Cengage Learning.
(8). Ashby, M.F. (2023). Materials and Sustainable Development. Butterworth-Heinemann.
Evaluation period
- E1 13/01/2026 A10 10:00h