Checking date: 10/09/2024


Course: 2024/2025

Digital manufacturing and design technology
(18041)
Master in Connected Industry 4.0 (Plan: 426 - Estudio: 357)
EPI


Coordinating teacher: CASTEJON SISAMON, CRISTINA

Department assigned to the subject: Mechanical Engineering Department

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Basic training in industrial engineering: knowledge of technical drawing, and basic concepts of mechanical engineering
Objectives
- Analyze the new digital production systems under the model of IC4.0 and the study of demand. Know the new technologies of digital product production: additive production, rapid prototyping, total quality control, etc. - Design new flexible production systems of low and medium complexity that are capable of producing on demand - Manage the production of a medium-sized system and manage the supply
Skills and learning outcomes
Description of contents: programme
1. Concepts & Fundamentals of design technology for Digital manufacturing 2. Digitization in the complete life cycle of a product 3. Modeling and mechanical design oriented to the digitization of production 3. Real-time 3D modeling and simulation 4. design technologies applied to additive production and rapid prototyping 5. Design and customization of new components and mechanical systems 6. Product quality control systems 7. Industrial Maintenance 4.0
Learning activities and methodology
TEACHING ACTIVITIES REGARDING TO THE SUBJECT: AF1 Theoretical class AF2 Practical class AF4 Laboratory class AF5 Tutorials AF6 Group work AF7 Student individual work AF8 Exams Activity Code Nº Total Hours Nº Classroom Hours % Clasroom /Student AF1----------------16,5---------------------16,5--------------------------100 AF2-----------------4,5----------------------4,5--------------------------100 AF4-----------------1,5----------------------1,5--------------------------100 AF5-----------------2,0----------------------2,0--------------------------100 AF6----------------25,0----------------------0,0----------------------------0 AF7----------------25,0----------------------0,0----------------------------0 AF8-----------------1,5----------------------1,5--------------------------100 TOTAL ------------76,0---------------------26,0--------------------------33% FORMATIVE TEACHING METHODOLOGIES OF THE PLAN REFERRED TO SUBJECTS MD1 Class lectures by the professor with the support of computer and audiovisual media, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning. MD2 Critical reading of texts recommended by the professor of the subject: articles, reports, manuals and/or academic articles, either for later discussion in class, or to expand and consolidate the knowledge of the subject. MD3 Resolution of practical cases, problems, etc. posed by the teacher individually or in groups. MD4 Presentation and discussion in class, under the moderation of the professor, of topics related to the content of the subject, as well as case studies. MD5 Preparation of papers and reports individually or in groups.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60

Calendar of Continuous assessment


Basic Bibliography
  • K. Sipsas, K. Alexopoulos, V. Xanthakis, G. Chryssolouris,. Collaborative maintenance in flow-line manufacturing environments: An Industry 4.0 approach. 5th CIRP Global Web Conference Research and Innovation for Future Production, Procedia CIRP 55 (2016) 236 ¿ 241. 2016
  • K.D. Thoben, S. Wiesner, T. Wuest. Industrie 4.0 and Smart Manufacturing- A Review of Research Issues and Application Examples. International Journal of Automation and Technology Vol.11 No.1, 2017 4-16.. 2017
  • M. Brettel, N. Friederichsen, M. Keller, . How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering Vol:8, No:1, 2014, 37-36.. 2014
  • S. Wang, J. Wan, D. Li, C. Zhang. Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks Volume 2016, Article ID 3159805, 1-10.. 2016
Additional Bibliography
  • F. Almada-Lobo. The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management JIM 3, 4 (2015) 16-21.. 2015
  • G. Schuh, T. Potente, C. Wesch-Potente, A.R. Weber. Collaboration Mechanisms to increase Productivity in the Context of Industrie 4.0,. Robust Manufacturing Conference (RoMaC 2014), Procedia CIRP 19 ( 2014 ) 51 ¿ 56.. 2014
  • S. Erol, A. Jäger, P. Hold, K. Ott, W. Sihn. Tangible Industry 4.0: a scenario-based approach to learning for the future of production. th CLF - 6th CIRP Conference on Learning Factories, Procedia CIRP 54 (2016) 13 ¿ 18.. 2016
  • S. Simons, P. Abé, S. Neser,. Learning in the AutFab ¿ the fully automated Industrie 4.0 learning factory of the University of Applied Sciences Darmstadt. 7th Conference on Learning Factories, CLF 2017, Procedia Manufacturing 9 (2017) 81 ¿ 88.. 2017
Recursos electrónicosElectronic Resources *
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The course syllabus may change due academic events or other reasons.