About M-NEST-RIS

M-NEST-RIS supported the development and implementation of a new paradigm in the learning of added-value manufacturing (AVM) in Europe, based on the creation of a distributed Teaching and Learning Factory prepared to address the challenges raised by the exponential introduction of new AVM technologies in the context of Industry 4.0.

M-NEST-RIS aims to nurture and empower people to work in and to foster AVM in countries with moderate or modest innovation capacity, such as Czech Republic, Estonia, Greece and Portugal. The idea is to gather complementary technological hotspots at the different partners to develop a distributed TLF able to address the specific AVM education needs at each country.

The Consortium

Learning Hubs

Dinasore is a digital-twin software developed by FEUP and available as learning hub of M-NEST-RIS. In an industrial context, this tool allows to understand the past (by tracking historical context and data), to monitor present conditions (being regularly updated with sensor data) and to predict the future (by synthesizing and contextualizing historical and real-time data to give insights into potential future states).

WELDPRINT is a machine tool available as a learning hub of M-NEST-RIS by CTU. This hybrid manufacturing testbed combines additive WAAM and subtractive milling processes. The patented procedure uses machining after every AM step/layer for alignment of the produced part geometry. The subsequent AM operation is done on well-defined geometric surface. The process is suitable for production of thin walled parts with closed geometry, parts with internal channels or parts with added geometrical features.

M-NEST-RIS project has Robotont robots as testbed available by University of Tartu (http://robotont.ut.ee). Robotont is an omnidirectional mobile platform that can be used to demonstrate, teach and test computer vision, artificial intelligence, and collaborative robotics capabilities and solutions. Robotont combines hardware and software for highly engaging experience-based learning and makes the full use of ROS (Robot Operating System) support. Depth camera, omniwheels, transparent and modular design are some of the key features of Robotont hardware.

LAY2FORM is a multimaterial processing learning hub available at M-NEST by INEGI. This testbed integrates into a single platform 3 manufacturing stages: lay-up, consolidation and hot forming. Firstly, tailored layups of composite prepregs with metal foils are performed in an automatic way, in contrast with the conventional approach of manual layup. Following this process, applied pressure and temperature assists the in-situ consolidation of composite prepregs. In the third stage, the pre-heating of composite-metal tailored blanks and its 3D hot forming is supported by selective heating. This unique industry-scale equipment able to process multimaterial systems enables the production of hybrid metal-composite components with optimized efficiency and properties.

CogniWeld (LMS testbed) is the MNESTRIS tool to approach welding, automation, cognitive control, Quality Asseessment, even Cell Safety. This testbed is used to aggregate data related to the robotized welding process and raise discussions about cognitive control & automation.

Learning Modules

Module FRTP Edge Trimming
Domain Process-driven AVM
Scheme LF – Learning Factory
Hub Machining cells of CTU Industry 4.0 testbed
Host Organization Prague Factory Unit CTU (Czech Republic)
Instructor(s) Petr Kolar (CTU)
Content Outline
  • Fundamentals of Fibre Reinforced Thermoplastics (FRTP), parts examples;
  • Development of cutting tools for FRTP milling;
  • Cutting conditions, testing and application;
  • Examples of multi axis edge trimming of composite part.
Module Multi-material Drilling
Domain Process-driven AVM
Scheme TF – Teaching Factory
Hub Subtractive Manufacturing Hardware (5-axis CNC Machine + Load Cell)
Host Organization Porto Factory Unit INEGI (Portugal)
Instructor(s) Abílio de Jesus (FEUP/INEGI)
Content Outline
  • Composites, multimaterials and hybrid materials;
  • Introduction to drilling operations;
  • Machining parametrization and quality assessment;
  • Composites machining;
  • Orbital drilling of hybrid composites.
Module Multi-material Layup and Consolidation
Domain Process-driven AVM
Scheme TF – Teaching Factory
Hub Lay2Form Cluster
Host Organization Porto Factory Unit INEGI (Portugal)
Instructor(s) Albertino Arteiro (FEUP/INEGI) António Torres Marques (FEUP/INEGI) Nuno Correia (INEGI)
Content Outline
  • Composites, multimaterials and hybrid materials;
  • Introduction to design and processes of hybrid composites and structures;
  • Processing technologies;
  • Automated Lay-up module and consolidation system;
  • Quality control.
Module Hybrid Wire-Arc Additive Manufacturing
Domain Process-driven AVM
Scheme LF – Learning Factory TF – Teaching Factory
Hub WeldPrint of CTU Industry 4.0 testbed
Host Organization Prague Factory Unit CTU (Czech Republic)
Instructor(s) Petr Kolar (CTU)
Content Outline
  • Fundamentals of electric arc used for welding and additive manufacturing;
  • Fundamentals of hybrid manufacturing using WAAM technology;
  • Examples of hybrid production programming using NX CAM with special HM module from CTU.
Module Welding Cognitive Automation
Domain ICT-driven AVM
Scheme LF – Learning Factory TF – Teaching Factory
Hub Welding Robotic Cell
Host Organization Patras Factory Unit LMS (Greece)
Instructor(s) Alexios Papacharalampopoulos (LMS) Panagiotis Stavropoulos (LMS)
Content Outline
  • Automation & Multi-disciplinary issues, Systems & Networks in the Industry 4.0 era;
  • Model-Based Systems Engineering;
  • Data Driven Models;
  • Cognitive Control;
  • Towards Digital Twins;
  • Process & Robotics Automation Special Issues;
Module Collaborative Robotics
Domain ICT-driven AVM
Scheme LF – Learning Factory
Hub Robotic Arms + UGVs
Host Organization Tartu Factory Unit University of Tartu (Estonia)
Instructor(s) Karl Kruusamäe (UniTartu) Heike Kasemagi (UniTartu) Marcelo Petry (INESC-TEC)
Content Outline
  • Collaborative Robots (aka Cobots) Intro;
  • Deploying and Programming aArm7 Cobot.
Module CPS & Digital Twin
Domain ICT-driven AVM
Scheme LF – Learning Factory TF – Teaching Factory
Hub INDTech4.0 Testbed
Host Organization Porto Factory Unit FEUP (Portugal)
Instructor(s) Gil Manuel Gonçalves (FEUP)
Content Outline
  • Industrial Internet of Things Intro;
  • Industrial Internet of Things;
  • Digital Twin Intro;
  • Digital Twin key technologies and main challenges.

Educational Products

Target Group: Manufacturing Professionals, Researchers and/or Academic Students
Educational Objective(s): To introduce key technological issues of the combination of wire-arc additive manufacturing (WAAM) and machining in a single production workspace.
Technological Category: Metal Working
Technological Subcategory: Metal Working Tools
Type: Webinar
Format: Video
Language: English
Authorship: CTU
EIT-M Activity: 20039_M-NEST-RIS
Launch Date: December 2020
See Product: Acess Here
Target Group: Manufacturing Professionals, Researchers and/or Academic Students
Educational Objective(s): To introduce added-value manufacturing concepts and strategies for the production of high-performance components by using advanced materials such as composites, hybrids and/or multimaterial solutions.
Technological Category: Mechanics
Technological Subcategory: Mechanics
Type: Webinar
Format: Video
Language: English
Authorship: INEGI
EIT-M Activity: 20039_M-NEST-RIS
Launch Date: December 2020
See Product: Acess Here
Target Group: Manufacturing Professionals, Researchers and/or Academic Students
Educational Objective(s): To introduce key enabling technologies for a smart production ecosystem such as cyber-physical systems, digital twins and industrial IoT platforms.
Technological Category: IIoT and Industry 4.0
Technological Subcategory: IIoT and CPS
Type: Webinar
Format: Video
Language: English
Authorship: FEUP and INESC TEC
EIT-M Activity: 20039_M-NEST-RIS
Launch Date: December 2020
See Product: Acess Here
Target Group: Manufacturing Professionals, Researchers and/or Academic Students
Educational Objective(s): To introduce Octave tool to the ones interested in the concept of digital twin and/or cognitive automation.
Technological Category: Factory Automation
Technological Subcategory: Industrial Control
Type: Tutorial
Format: Presentation file
Language: English
Authorship: LMS
EIT-M Activity: 20039_M-NEST-RIS
Launch Date: December 2020
See Product: Acess Here
Target Group: Manufacturing Professionals, Researchers and/or Academic Students
Educational Objective(s): To introduce ROS, MoveIt, and do practical tasks with xArm7 collaborative robot manipulator.
Technological Category: Factory Automation
Technological Subcategory: Robotics
Type: Tutorial
Format: Presentation file
Language: English
Authorship: Univ. Tartu
EIT-M Activity: 20039_M-NEST-RIS
Launch Date: December 2020
See Product: Acess Here