| Study programme competencies |
| Code | Study programme competences |
| A7 | CE07 - Capacidad para definir, diseñar y proyectar sistemas de producción automatizados y control avanzado de procesos |
| A9 | CE09 - Capacidad para el uso, simulación y diseño de sistemas mecánicos empleados en entornos robóticos y/o industriales |
| A10 | CE10 - Capacidad para el uso, simulación e implementación de tecnologías de fabricación tradicionales o emergentes empleados en sistemas robóticos y/o industriales |
| B2 | CB7 - Que los estudiantes sepan aplicar los conocimientos adquiridos y su capacidad de resolución de problemas en entornos nuevos o poco conocidos dentro de contextos más amplios (o multidisciplinares) relacionados con su área de estudio |
| B5 | CB10 - Que los estudiantes posean las habilidades de aprendizaje que les permitan continuar estudiando de un modo que habrá de ser en gran medida autodirigido o autónomo. |
| B6 | CG1 - Buscar y seleccionar alternativas considerando las mejores soluciones posibles |
| B13 | CG8 - Aplicar los conocimientos teóricos a la práctica |
| B18 | CG13 - Plantear y resolver problemas, interpretar un conjunto de datos y analizar los resultados obtenidos; en el ámbito de la informática industrial y la robótica |
| C1 | CT01 - Adquirir la terminología y nomenclatura científico-técnica para exponer argumentos y fundamentar conclusiones |
| C2 | CT02 - Fomentar la sensibilidad hacia temas sociales y/o medioambientales |
| C3 | CT03 - Aplicar una metodología que fomente el aprendizaje y el trabajo autónomo |
| Learning aims | |||
| Learning outcomes | Study programme competences | ||
| Saber identificar y usar tecnologías emergentes de fabricación | AC7 AC9 |
BC2 BC5 BC6 BC13 |
CC1 CC2 CC3 |
| Saber implementar aplicaciones de la informatica industrial a las tecnologias de fabricación | AC9 AC10 |
BC2 BC5 BC6 BC13 BC18 |
CC1 CC2 CC3 |
| Saber implementar aplicaciones de robótica las tecnologias emergentes de fabricación | AC9 AC10 |
BC2 BC5 BC6 BC13 BC18 |
CC1 CC2 CC3 |
| Contents |
| Topic | Sub-topic |
| Identify and use emerging manufacturing technologies | -Laser material processing -Processing systems - DED Additive manufacturing (by laser directed energy deposition) |
| Implementation of industrial computing applications and robotics to emerging manufacturing technologies | Programming of industrial robots for manufacturing -Axis positioning systems -Robotic arms |
| Planning | ||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Seminar | A7 A9 B2 B5 B6 C1 C2 C3 | 11 | 16.5 | 27.5 |
| Laboratory practice | A10 B2 B5 B6 B13 B18 | 11 | 16.5 | 27.5 |
| Supervised projects | A10 B2 B5 B6 B13 B18 | 2 | 17 | 19 |
| Personalized attention | 1 | 0 | 1 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
| Methodologies |
| Methodologies | Description |
| Seminar | Keynote sessions on subject contents |
| Laboratory practice | Offline / online programming practices using tools and programming environments of a system with an industrial robotic arm used in manufacturing technologies |
| Supervised projects | Work based on the development and implementation of the suitable programming precedures for a manufacturing process example. |
| Personalized attention |
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| Assessment | |||
| Methodologies | Competencies | Description | Qualification |
| Seminar | A7 A9 B2 B5 B6 C1 C2 C3 | Attendance to 80% of the sessions is necessary | 15 |
| Supervised projects | A10 B2 B5 B6 B13 B18 | Aspects such as the scope and complexity of the work will be taken into account, as well as its originality. | 70 |
| Laboratory practice | A10 B2 B5 B6 B13 B18 | Attendance to 80% of the sessions is necessary | 15 |
| Assessment comments | |||
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Partial-time students will be evaluated in the same terms as those of full-time students. Evaluation criteria in second opportunity will be the same as in first oportunity. There is not academic exemption for class attendance in this subject |
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| Sources of information |
| Basic |
Olaf Diegel, Axel Nordin, Damien Motte (2019). A Practical guide to design for additive manufacturing / . Singapur, Springer
Gebhardt, Andreas (2016). Additive manufacturing : 3D printing for prototyping and manufacturing. Munich ; Hanser Publishers
Miranda Colorado, Roger (2016). Cinemática y dinámica de robots manipuladores. [Barcelona] : Marcombo
Brandt, Milan. (2016). Laser Additive Manufacturing : Materials, Design, Technologies, and Applications.. Kent : Elsevier Science,
Toyserkani, Ehsan. (2005). Laser cladding. Boca Raton : CRC Press
John J. Craig. (2006). Robótica. México : Prentice Hall,
Ollero Baturone, Aníbal. (2001). Robótica manipuladores y robots móviles.. Barcelona] : Marcombo |
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| Complementary | |
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| Recommendations | |
| Subjects that it is recommended to have taken before |
| Subjects that are recommended to be taken simultaneously |
| Subjects that continue the syllabus |
| Other comments | |
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1. The delivery of the documentary works for this subject: 1.1. Will be requested in virtual format and / or computer support. 1.2. Will be done through Moodle, in digital format avoiding the need of printing. 1.3. If made on paper: -Do not use plastics. -Double sided printing will be made. -Recycled paper will be used. -The printing of drafts will be avoided. 2. Sustainable use of resources and prevention of harm to the natural environment must be observed. |