Autonomous Robots
This module prepares and enables you to drive digital production through Additive Manufacturing in your organization. Goals: Describe the features of different generation of Automation systems, from Industry 1.0 to 4.0. Perform basic robot programming via the online platform in python language. Describe the important enabling technologies from the industry 4.0’s perspective. Make suggestions and […]
Additive Manufacturing
This module prepares and enables you to drive digital production through Additive Manufacturing in your organization. Goals: Describe generic attributes of additive manufacturing in relation to other manufacturing technologies. Describe basic principles of additive manufacturing.<br /></div><div>Demonstrate basic skills with respect to design for additive manufacturing. Describe technical limitations/product realization capabilities when applying additive manufacturing technology […]
Cyber Physical Systems and Digital Twins
This module covers the general terminology and concepts related to cyber- physical systems and digital twins. Goals: Recognize and explain the terminology for key concepts and technologies of CPS and DT within the context of Industry 4.0. Understand the state-of-the-art of DT for the process/cell/line level engineering and their possible uses for verification, analysis and […]
Cyber Security, Industrial Data Protection and Data integrity
This module focuses cyber-security definitions and models as well as information systems certification. Understand and explain the fundamental concepts of computer security, including data availability, integrity and confidentiality, and their interrelations, in the context of cyber-physical systems and the industrial Internet of Things (IoT). Become familiar with the standards used for risk analysis, and the […]
Human Robot Collaboration
This module focuses the abilities and challenges of the industrial robots that can be used for collaborative tasks. Distinguish the differences between a traditional industrial robot and an industrial robot used for collaborative tasks i.e. HIRC-Station. Apply at least one design method used for product or production design related to HIRC. Evaluate the pros and […]
Metal additive manufacturing – technologies and practical applications
The main objective is to present the main technologies used or developed in the field of Additive Metal Manufacturing, as well as the specific aspects and areas of application of each one of them, the design concepts, the manufacturing processes, the materials used and finally the aspects related to safety and quality in manufacturing
INDUSTRY4.0: Industrial IoT to monitor data from SMEs
The aim of the course is to show a series of tools that allow the collection and analysis of industrial process data in a simple and economical way. Due to these characteristics, we believe that many of these tools could be of great interest both in the educational field, as well as for developing projects […]
HP-MultiJet Fusion Technology and Creaform Academy Scanner
The main objective is to present the main features of the use of HP-MultiJet Fusion additive manufacturing technology
Metrology and intelligent instrumentation
This module focuses on the following areas: – Verification of the conformity of the product with the specified tolerances applying basic metrological techniques. -Determination of the requirements of capture and measurement in each part of the process with optimization and efficiency criteria – Specification of connectivity requirements for smart field elements. – Integration of the […]
Intelligent production processes
This module focuses on the following areas: Contextualization of an intelligent manufacturing system Characterization of an intelligent manufacturing system applying production engineering concepts and advanced technologies. Characterization of production control systems and digital management systems of the organization proposing the optimal level of integration thereof Ensuring compliance with operating specifications through participation in multidisciplinary teams […]
