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Syllabus 2018-19 - 77312003 - Aided Manufacturing of Mechanical Elements (Fabricación asistida de elementos mecánicos)
- Level 1: Tutorial support sessions, materials and exams in this language
- Level 2: Tutorial support sessions, materials, exams and seminars in this language
- Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: | Máster universitario en Ingeniería mecatrónica |
FACULTY: | SCHOOL OF ENGINEERING OF JAÉN |
ACADEMIC YEAR: | 2018-19 |
COURSE: | Aided Manufacturing of Mechanical Elements |
NAME: Aided Manufacturing of Mechanical Elements | |||||
CODE: 77312003 | ACADEMIC YEAR: 2018-19 | ||||
LANGUAGE: English | LEVEL: 1 | ||||
ECTS CREDITS: 4.0 | YEAR: 1 | SEMESTER: SC |
NAME: DORADO VICENTE, RUBÉN | ||
DEPARTMENT: U121 - INGENIERÍA MECÁNICA Y MINERA | ||
FIELD OF STUDY: 515 - INGENIERIA DE LOS PROCESOS DE FABRICACIÓN | ||
OFFICE NO.: A3 - 016 | E-MAIL: rdorado@ujaen.es | P: 953212439 |
WEBSITE: http://blogs.ujaen.es/rdorado/ | ||
ORCID: https://orcid.org/0000-0003-1979-7489 | ||
LANGUAGE: - | LEVEL: 1 |
1. Industry 4.0 (4 hours).
Introduction
Smart factories
2.Aided manufacturing (6 horas).
Production system integration
Design for Manufacturing DFM
Computer Aided Manufacturing CAM.
3. Process industrialization (8 horas).
Computer Aided Process Planning
Group technology
Process planning via simulation
Manufacturing quality control
4. Rapid prototyping by means of additive manufacturing (4 horas).
3D printing processes: Types and applications.
3D printing stages.
Cost estimation.
5. Manufacturing of mechatronic components (8 horas).
Manufacturing of electronic components.
Manufacturing of microelectromechanical components.
Micro-machining.
Theoretical Lectures to show the main concepts of the course.
Descriptions and examples portray the theoretical concepts.
Workshops, seminars, laboratories or computer room activities provide practical problems to get applied knowledge.
Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support
Evaluation tools.
S1: Attendance.
S2: Exam.
S3: Course exercises, student works and presentations.
S4: Participation.
Grade.
Grade = 0.03*S1 + 0.6*S2 + 0.32*S3 + 0.05*S4
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